From f4e1c86447f5c0f62d0356cc71e5807fe70dced9 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 21 Aug 2026 19:23:17 +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/ita-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed455 Source: Original Platform --- .gitattributes | 35 + README.md | 58 + added_tokens.json | 1202 ++ checkpoint-1000/added_tokens.json | 1202 ++ checkpoint-1000/config.json | 34 + checkpoint-1000/generation_config.json | 9 + checkpoint-1000/model.safetensors | 3 + checkpoint-1000/rng_state.pth | 3 + checkpoint-1000/special_tokens_map.json | 1249 ++ checkpoint-1000/spiece.model | 3 + checkpoint-1000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-1000/trainer_state.json | 2045 +++ checkpoint-1000/training_args.bin | 3 + checkpoint-2000/added_tokens.json | 1202 ++ checkpoint-2000/config.json | 34 + checkpoint-2000/generation_config.json | 9 + checkpoint-2000/model.safetensors | 3 + checkpoint-2000/rng_state.pth | 3 + checkpoint-2000/special_tokens_map.json | 1249 ++ checkpoint-2000/spiece.model | 3 + checkpoint-2000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-2000/trainer_state.json | 4056 +++++ checkpoint-2000/training_args.bin | 3 + checkpoint-3000/added_tokens.json | 1202 ++ checkpoint-3000/config.json | 34 + checkpoint-3000/generation_config.json | 9 + checkpoint-3000/model.safetensors | 3 + checkpoint-3000/rng_state.pth | 3 + checkpoint-3000/special_tokens_map.json | 1249 ++ checkpoint-3000/spiece.model | 3 + checkpoint-3000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-3000/trainer_state.json | 6067 +++++++ checkpoint-3000/training_args.bin | 3 + checkpoint-4000/added_tokens.json | 1202 ++ checkpoint-4000/config.json | 34 + checkpoint-4000/generation_config.json | 9 + checkpoint-4000/model.safetensors | 3 + checkpoint-4000/rng_state.pth | 3 + checkpoint-4000/special_tokens_map.json | 1249 ++ checkpoint-4000/spiece.model | 3 + checkpoint-4000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-4000/trainer_state.json | 8078 +++++++++ checkpoint-4000/training_args.bin | 3 + checkpoint-5000/added_tokens.json | 1202 ++ checkpoint-5000/config.json | 34 + checkpoint-5000/generation_config.json | 9 + checkpoint-5000/model.safetensors | 3 + checkpoint-5000/rng_state.pth | 3 + checkpoint-5000/special_tokens_map.json | 1249 ++ checkpoint-5000/spiece.model | 3 + checkpoint-5000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-5000/trainer_state.json | 10089 +++++++++++ checkpoint-5000/training_args.bin | 3 + checkpoint-6000/added_tokens.json | 1202 ++ checkpoint-6000/config.json | 34 + checkpoint-6000/generation_config.json | 9 + checkpoint-6000/model.safetensors | 3 + checkpoint-6000/rng_state.pth | 3 + checkpoint-6000/special_tokens_map.json | 1249 ++ checkpoint-6000/spiece.model | 3 + checkpoint-6000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-6000/trainer_state.json | 12100 +++++++++++++ checkpoint-6000/training_args.bin | 3 + checkpoint-7000/added_tokens.json | 1202 ++ checkpoint-7000/config.json | 34 + checkpoint-7000/generation_config.json | 9 + checkpoint-7000/model.safetensors | 3 + checkpoint-7000/rng_state.pth | 3 + checkpoint-7000/special_tokens_map.json | 1249 ++ checkpoint-7000/spiece.model | 3 + checkpoint-7000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-7000/trainer_state.json | 14111 +++++++++++++++ checkpoint-7000/training_args.bin | 3 + checkpoint-8000/added_tokens.json | 1202 ++ checkpoint-8000/config.json | 34 + checkpoint-8000/generation_config.json | 9 + checkpoint-8000/model.safetensors | 3 + checkpoint-8000/rng_state.pth | 3 + checkpoint-8000/special_tokens_map.json | 1249 ++ checkpoint-8000/spiece.model | 3 + checkpoint-8000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-8000/trainer_state.json | 16122 +++++++++++++++++ checkpoint-8000/training_args.bin | 3 + checkpoint-9000/added_tokens.json | 1202 ++ checkpoint-9000/config.json | 34 + checkpoint-9000/generation_config.json | 9 + checkpoint-9000/model.safetensors | 3 + checkpoint-9000/rng_state.pth | 3 + checkpoint-9000/special_tokens_map.json | 1249 ++ checkpoint-9000/spiece.model | 3 + checkpoint-9000/tokenizer_config.json | 10825 ++++++++++++ checkpoint-9000/trainer_state.json | 18133 ++++++++++++++++++++ checkpoint-9000/training_args.bin | 3 + checkpoint-9910/added_tokens.json | 1202 ++ checkpoint-9910/config.json | 34 + checkpoint-9910/generation_config.json | 9 + checkpoint-9910/model.safetensors | 3 + checkpoint-9910/rng_state.pth | 3 + checkpoint-9910/special_tokens_map.json | 1249 ++ checkpoint-9910/spiece.model | 3 + checkpoint-9910/tokenizer_config.json | 10825 ++++++++++++ checkpoint-9910/trainer_state.json | 19953 ++++++++++++++++++++++ checkpoint-9910/training_args.bin | 3 + config.json | 34 + generation_config.json | 9 + model.safetensors | 3 + special_tokens_map.json | 1249 ++ spiece.model | 3 + tokenizer_config.json | 10825 ++++++++++++ training_args.bin | 3 + 110 files changed, 257485 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-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-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-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-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-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-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-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-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-9910/added_tokens.json create mode 100644 checkpoint-9910/config.json create mode 100644 checkpoint-9910/generation_config.json create mode 100644 checkpoint-9910/model.safetensors create mode 100644 checkpoint-9910/rng_state.pth create mode 100644 checkpoint-9910/special_tokens_map.json create mode 100644 checkpoint-9910/spiece.model create mode 100644 checkpoint-9910/tokenizer_config.json create mode 100644 checkpoint-9910/trainer_state.json create mode 100644 checkpoint-9910/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..8a10d9b --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: fpadovani/ita-latn-10mb-ppt-Dp-10mb_seed455 +library_name: transformers +model_name: ita-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed455 +tags: +- generated_from_trainer +- sft +- trl +licence: license +--- + +# Model Card for ita-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed455 + +This model is a fine-tuned version of [fpadovani/ita-latn-10mb-ppt-Dp-10mb_seed455](https://huggingface.co/fpadovani/ita-latn-10mb-ppt-Dp-10mb_seed455). +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/ita-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed455", 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/a8ftc2jf) + + +This model was trained with SFT. + +### Framework versions + +- TRL: 0.23.0 +- Transformers: 4.56.2 +- Pytorch: 2.11.0 +- Datasets: 4.8.4 +- Tokenizers: 0.22.1 + +## Citations + + + +Cite TRL as: + +```bibtex +@misc{vonwerra2022trl, + title = {{TRL: Transformer Reinforcement Learning}}, + author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, + year = 2020, + journal = {GitHub repository}, + publisher = {GitHub}, + howpublished = {\url{https://github.com/huggingface/trl}} +} +``` \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-1000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1000/model.safetensors b/checkpoint-1000/model.safetensors new file mode 100644 index 0000000..c93f270 --- /dev/null +++ b/checkpoint-1000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:857482f6776aaafe7ebe00c8fd3945527a77d12ed367654019322e2545a4032c +size 78179408 diff --git a/checkpoint-1000/rng_state.pth b/checkpoint-1000/rng_state.pth new file mode 100644 index 0000000..c87f0b4 --- /dev/null +++ b/checkpoint-1000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70ea33cc41c6c507edcfcda0fa3fd76459b9eb43783edf3475a2f1c8cfe1a937 +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-1000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..6e7b940 --- /dev/null +++ b/checkpoint-1000/trainer_state.json @@ -0,0 +1,2045 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0080685829551186, + "eval_steps": 1000, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 546050741299200.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-1000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-2000/added_tokens.json b/checkpoint-2000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-2000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2000/model.safetensors b/checkpoint-2000/model.safetensors new file mode 100644 index 0000000..85afb6c --- /dev/null +++ b/checkpoint-2000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1de30d4faa2e7c47ab8a10ae89adc2779661b3d44b4df68eabdb67148f8739a +size 78179408 diff --git a/checkpoint-2000/rng_state.pth b/checkpoint-2000/rng_state.pth new file mode 100644 index 0000000..dac1e95 --- /dev/null +++ b/checkpoint-2000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f2afab3ce17a20b96637923457b2f1c959df7347bfdccdef3480683210c3c85 +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-2000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..a229f4b --- /dev/null +++ b/checkpoint-2000/trainer_state.json @@ -0,0 +1,4056 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.016137165910237, + "eval_steps": 1000, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1093211539752960.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-2000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-3000/added_tokens.json b/checkpoint-3000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-3000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3000/model.safetensors b/checkpoint-3000/model.safetensors new file mode 100644 index 0000000..17d611d --- /dev/null +++ b/checkpoint-3000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8b1998f28d393d4e8c144e5469653a335b2f08fe13af41b67c3b9efa868d1005 +size 78179408 diff --git a/checkpoint-3000/rng_state.pth b/checkpoint-3000/rng_state.pth new file mode 100644 index 0000000..a5211d5 --- /dev/null +++ b/checkpoint-3000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c234a9cd0960770afeca5fce5af444a2e8f64613776f2847915c4f35c8cdb7d +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-3000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..2ca3a3d --- /dev/null +++ b/checkpoint-3000/trainer_state.json @@ -0,0 +1,6067 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0242057488653553, + "eval_steps": 1000, + "global_step": 3000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1639493659607040.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-3000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-4000/added_tokens.json b/checkpoint-4000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-4000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4000/model.safetensors b/checkpoint-4000/model.safetensors new file mode 100644 index 0000000..b6e421c --- /dev/null +++ b/checkpoint-4000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7c477ffe38773cd63356f98e6c7df1cc9680222320e46df4f78a1e0df3d69099 +size 78179408 diff --git a/checkpoint-4000/rng_state.pth b/checkpoint-4000/rng_state.pth new file mode 100644 index 0000000..2a4fe4f --- /dev/null +++ b/checkpoint-4000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1485cce65a78499a01566abb61713a34accabd73edf9fcaddb8595e0204bafde +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-4000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..bb07df6 --- /dev/null +++ b/checkpoint-4000/trainer_state.json @@ -0,0 +1,8078 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.032274331820474, + "eval_steps": 1000, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2182660945920000.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-4000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-5000/added_tokens.json b/checkpoint-5000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-5000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5000/model.safetensors b/checkpoint-5000/model.safetensors new file mode 100644 index 0000000..4b328bb --- /dev/null +++ b/checkpoint-5000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:420b6ede352f0f9f4f874af77b37a563541ae39c6c50349c853764db44b0f570 +size 78179408 diff --git a/checkpoint-5000/rng_state.pth b/checkpoint-5000/rng_state.pth new file mode 100644 index 0000000..0796e3f --- /dev/null +++ b/checkpoint-5000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:45e734d380b9264ec4e146fc733333fd532f319cd94ed2c5f7f777f0e715c5b7 +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-5000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..e4f5f15 --- /dev/null +++ b/checkpoint-5000/trainer_state.json @@ -0,0 +1,10089 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.040342914775593, + "eval_steps": 1000, + "global_step": 5000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + }, + { + "entropy": 5.507882356643677, + "epoch": 4.0373171961674235, + "grad_norm": 1.2890625, + "learning_rate": 0.0003851560183515953, + "loss": 4.9006, + "mean_token_accuracy": 0.19513047337532044, + "num_tokens": 8846883.0, + "step": 4005 + }, + { + "entropy": 5.636105680465699, + "epoch": 4.042360060514373, + "grad_norm": 1.140625, + "learning_rate": 0.000384809971843246, + "loss": 5.0285, + "mean_token_accuracy": 0.18483300358057023, + "num_tokens": 8857592.0, + "step": 4010 + }, + { + "entropy": 5.475295829772949, + "epoch": 4.047402924861321, + "grad_norm": 1.09375, + "learning_rate": 0.000384463584042971, + "loss": 4.8952, + "mean_token_accuracy": 0.19550566673278807, + "num_tokens": 8868527.0, + "step": 4015 + }, + { + "entropy": 5.454197931289673, + "epoch": 4.05244578920827, + "grad_norm": 1.1640625, + "learning_rate": 0.00038411685602735175, + "loss": 4.9249, + "mean_token_accuracy": 0.1891388326883316, + "num_tokens": 8879416.0, + "step": 4020 + }, + { + "entropy": 5.4192150115966795, + "epoch": 4.057488653555219, + "grad_norm": 1.140625, + "learning_rate": 0.00038376978887402687, + "loss": 4.9098, + "mean_token_accuracy": 0.19191017746925354, + "num_tokens": 8889452.0, + "step": 4025 + }, + { + "entropy": 5.370370864868164, + "epoch": 4.062531517902168, + "grad_norm": 1.0625, + "learning_rate": 0.0003834223836616891, + "loss": 4.7748, + "mean_token_accuracy": 0.19761549085378646, + "num_tokens": 8900447.0, + "step": 4030 + }, + { + "entropy": 5.534723281860352, + "epoch": 4.067574382249117, + "grad_norm": 1.1328125, + "learning_rate": 0.00038307464147008176, + "loss": 4.9709, + "mean_token_accuracy": 0.18329481780529022, + "num_tokens": 8911298.0, + "step": 4035 + }, + { + "entropy": 5.439350223541259, + "epoch": 4.072617246596066, + "grad_norm": 1.15625, + "learning_rate": 0.0003827265633799957, + "loss": 4.9157, + "mean_token_accuracy": 0.1890334367752075, + "num_tokens": 8922279.0, + "step": 4040 + }, + { + "entropy": 5.486150932312012, + "epoch": 4.0776601109430155, + "grad_norm": 1.1875, + "learning_rate": 0.0003823781504732657, + "loss": 4.9313, + "mean_token_accuracy": 0.18667482137680053, + "num_tokens": 8934780.0, + "step": 4045 + }, + { + "entropy": 5.514814758300782, + "epoch": 4.082702975289965, + "grad_norm": 1.1484375, + "learning_rate": 0.0003820294038327669, + "loss": 4.8954, + "mean_token_accuracy": 0.1852332517504692, + "num_tokens": 8946114.0, + "step": 4050 + }, + { + "entropy": 5.417545366287231, + "epoch": 4.087745839636914, + "grad_norm": 1.015625, + "learning_rate": 0.0003816803245424121, + "loss": 4.8903, + "mean_token_accuracy": 0.19420945197343825, + "num_tokens": 8957830.0, + "step": 4055 + }, + { + "entropy": 5.4529143333435055, + "epoch": 4.092788703983863, + "grad_norm": 1.15625, + "learning_rate": 0.0003813309136871478, + "loss": 4.9542, + "mean_token_accuracy": 0.19547271430492402, + "num_tokens": 8968312.0, + "step": 4060 + }, + { + "entropy": 5.488467979431152, + "epoch": 4.097831568330812, + "grad_norm": 1.125, + "learning_rate": 0.00038098117235295083, + "loss": 4.8996, + "mean_token_accuracy": 0.1928773194551468, + "num_tokens": 8979502.0, + "step": 4065 + }, + { + "entropy": 5.448248672485351, + "epoch": 4.102874432677761, + "grad_norm": 1.078125, + "learning_rate": 0.0003806311016268254, + "loss": 4.9214, + "mean_token_accuracy": 0.18985837399959565, + "num_tokens": 8991934.0, + "step": 4070 + }, + { + "entropy": 5.45822057723999, + "epoch": 4.10791729702471, + "grad_norm": 1.234375, + "learning_rate": 0.0003802807025967995, + "loss": 4.8492, + "mean_token_accuracy": 0.1978401616215706, + "num_tokens": 9001669.0, + "step": 4075 + }, + { + "entropy": 5.462690544128418, + "epoch": 4.112960161371659, + "grad_norm": 1.3671875, + "learning_rate": 0.0003799299763519213, + "loss": 4.9006, + "mean_token_accuracy": 0.19447372406721114, + "num_tokens": 9011904.0, + "step": 4080 + }, + { + "entropy": 5.428786897659302, + "epoch": 4.118003025718608, + "grad_norm": 1.0859375, + "learning_rate": 0.0003795789239822561, + "loss": 4.91, + "mean_token_accuracy": 0.18757592886686325, + "num_tokens": 9023024.0, + "step": 4085 + }, + { + "entropy": 5.474789571762085, + "epoch": 4.1230458900655576, + "grad_norm": 1.109375, + "learning_rate": 0.0003792275465788826, + "loss": 5.0288, + "mean_token_accuracy": 0.18281726986169816, + "num_tokens": 9035721.0, + "step": 4090 + }, + { + "entropy": 5.549254083633423, + "epoch": 4.128088754412507, + "grad_norm": 1.171875, + "learning_rate": 0.00037887584523389013, + "loss": 4.9429, + "mean_token_accuracy": 0.1963011309504509, + "num_tokens": 9046541.0, + "step": 4095 + }, + { + "entropy": 5.51261191368103, + "epoch": 4.133131618759456, + "grad_norm": 1.28125, + "learning_rate": 0.00037852382104037454, + "loss": 4.9209, + "mean_token_accuracy": 0.1832383990287781, + "num_tokens": 9057696.0, + "step": 4100 + }, + { + "entropy": 5.49119758605957, + "epoch": 4.138174483106404, + "grad_norm": 1.34375, + "learning_rate": 0.00037817147509243497, + "loss": 5.0707, + "mean_token_accuracy": 0.18049182891845703, + "num_tokens": 9070737.0, + "step": 4105 + }, + { + "entropy": 5.50582594871521, + "epoch": 4.143217347453353, + "grad_norm": 1.25, + "learning_rate": 0.0003778188084851709, + "loss": 4.935, + "mean_token_accuracy": 0.19351411312818528, + "num_tokens": 9081582.0, + "step": 4110 + }, + { + "entropy": 5.539880180358887, + "epoch": 4.148260211800302, + "grad_norm": 1.1953125, + "learning_rate": 0.00037746582231467816, + "loss": 5.0069, + "mean_token_accuracy": 0.18012915998697282, + "num_tokens": 9092571.0, + "step": 4115 + }, + { + "entropy": 5.47385425567627, + "epoch": 4.153303076147251, + "grad_norm": 1.234375, + "learning_rate": 0.0003771125176780461, + "loss": 4.9757, + "mean_token_accuracy": 0.18279217034578324, + "num_tokens": 9103172.0, + "step": 4120 + }, + { + "entropy": 5.495398378372192, + "epoch": 4.1583459404942005, + "grad_norm": 1.078125, + "learning_rate": 0.00037675889567335345, + "loss": 4.9165, + "mean_token_accuracy": 0.18877640664577483, + "num_tokens": 9114407.0, + "step": 4125 + }, + { + "entropy": 5.4332798480987545, + "epoch": 4.16338880484115, + "grad_norm": 1.015625, + "learning_rate": 0.00037640495739966573, + "loss": 4.871, + "mean_token_accuracy": 0.19287270307540894, + "num_tokens": 9126175.0, + "step": 4130 + }, + { + "entropy": 5.474513959884644, + "epoch": 4.168431669188099, + "grad_norm": 1.09375, + "learning_rate": 0.00037605070395703124, + "loss": 5.0226, + "mean_token_accuracy": 0.18439341336488724, + "num_tokens": 9139046.0, + "step": 4135 + }, + { + "entropy": 5.486795473098755, + "epoch": 4.173474533535048, + "grad_norm": 1.328125, + "learning_rate": 0.00037569613644647783, + "loss": 4.9218, + "mean_token_accuracy": 0.1871136710047722, + "num_tokens": 9150413.0, + "step": 4140 + }, + { + "entropy": 5.5463550090789795, + "epoch": 4.178517397881997, + "grad_norm": 1.109375, + "learning_rate": 0.0003753412559700094, + "loss": 4.9098, + "mean_token_accuracy": 0.1975122556090355, + "num_tokens": 9161831.0, + "step": 4145 + }, + { + "entropy": 5.437201404571534, + "epoch": 4.183560262228946, + "grad_norm": 1.234375, + "learning_rate": 0.00037498606363060285, + "loss": 4.9258, + "mean_token_accuracy": 0.1963041603565216, + "num_tokens": 9172381.0, + "step": 4150 + }, + { + "entropy": 5.364158773422242, + "epoch": 4.188603126575895, + "grad_norm": 1.1953125, + "learning_rate": 0.0003746305605322041, + "loss": 4.8546, + "mean_token_accuracy": 0.19601071029901504, + "num_tokens": 9182212.0, + "step": 4155 + }, + { + "entropy": 5.442264175415039, + "epoch": 4.193645990922844, + "grad_norm": 1.2734375, + "learning_rate": 0.00037427474777972477, + "loss": 4.9478, + "mean_token_accuracy": 0.19168211966753007, + "num_tokens": 9192207.0, + "step": 4160 + }, + { + "entropy": 5.51265287399292, + "epoch": 4.198688855269793, + "grad_norm": 1.140625, + "learning_rate": 0.00037391862647903943, + "loss": 4.9895, + "mean_token_accuracy": 0.18737609982490538, + "num_tokens": 9203693.0, + "step": 4165 + }, + { + "entropy": 5.489502048492431, + "epoch": 4.2037317196167425, + "grad_norm": 1.0859375, + "learning_rate": 0.00037356219773698106, + "loss": 4.93, + "mean_token_accuracy": 0.19232701063156127, + "num_tokens": 9215201.0, + "step": 4170 + }, + { + "entropy": 5.35007643699646, + "epoch": 4.208774583963692, + "grad_norm": 1.28125, + "learning_rate": 0.00037320546266133854, + "loss": 4.8919, + "mean_token_accuracy": 0.18937314301729202, + "num_tokens": 9227705.0, + "step": 4175 + }, + { + "entropy": 5.513562440872192, + "epoch": 4.213817448310641, + "grad_norm": 1.09375, + "learning_rate": 0.0003728484223608526, + "loss": 5.0298, + "mean_token_accuracy": 0.19036928117275237, + "num_tokens": 9238372.0, + "step": 4180 + }, + { + "entropy": 5.479854774475098, + "epoch": 4.21886031265759, + "grad_norm": 1.0859375, + "learning_rate": 0.00037249107794521286, + "loss": 4.9577, + "mean_token_accuracy": 0.18163685202598573, + "num_tokens": 9250303.0, + "step": 4185 + }, + { + "entropy": 5.421753692626953, + "epoch": 4.223903177004539, + "grad_norm": 1.234375, + "learning_rate": 0.00037213343052505394, + "loss": 5.0321, + "mean_token_accuracy": 0.18563628941774368, + "num_tokens": 9261750.0, + "step": 4190 + }, + { + "entropy": 5.509016704559326, + "epoch": 4.228946041351487, + "grad_norm": 1.0234375, + "learning_rate": 0.0003717754812119523, + "loss": 4.9431, + "mean_token_accuracy": 0.19167808294296265, + "num_tokens": 9273808.0, + "step": 4195 + }, + { + "entropy": 5.454015445709229, + "epoch": 4.233988905698436, + "grad_norm": 1.1171875, + "learning_rate": 0.0003714172311184226, + "loss": 4.9408, + "mean_token_accuracy": 0.18980903923511505, + "num_tokens": 9285099.0, + "step": 4200 + }, + { + "entropy": 5.498741102218628, + "epoch": 4.2390317700453854, + "grad_norm": 1.171875, + "learning_rate": 0.0003710586813579144, + "loss": 5.0256, + "mean_token_accuracy": 0.18340314030647278, + "num_tokens": 9295513.0, + "step": 4205 + }, + { + "entropy": 5.5043713569641115, + "epoch": 4.244074634392335, + "grad_norm": 1.2890625, + "learning_rate": 0.00037069983304480875, + "loss": 5.0181, + "mean_token_accuracy": 0.17525929361581802, + "num_tokens": 9307243.0, + "step": 4210 + }, + { + "entropy": 5.41992335319519, + "epoch": 4.249117498739284, + "grad_norm": 1.21875, + "learning_rate": 0.0003703406872944144, + "loss": 4.9652, + "mean_token_accuracy": 0.1928505852818489, + "num_tokens": 9319289.0, + "step": 4215 + }, + { + "entropy": 5.529471921920776, + "epoch": 4.254160363086233, + "grad_norm": 1.1171875, + "learning_rate": 0.0003699812452229645, + "loss": 5.0786, + "mean_token_accuracy": 0.1831396237015724, + "num_tokens": 9332273.0, + "step": 4220 + }, + { + "entropy": 5.502027702331543, + "epoch": 4.259203227433182, + "grad_norm": 1.3046875, + "learning_rate": 0.00036962150794761354, + "loss": 4.9647, + "mean_token_accuracy": 0.18839758336544038, + "num_tokens": 9343703.0, + "step": 4225 + }, + { + "entropy": 5.409524011611938, + "epoch": 4.264246091780131, + "grad_norm": 1.078125, + "learning_rate": 0.0003692614765864331, + "loss": 4.9535, + "mean_token_accuracy": 0.18380556404590606, + "num_tokens": 9355371.0, + "step": 4230 + }, + { + "entropy": 5.415918779373169, + "epoch": 4.26928895612708, + "grad_norm": 1.0703125, + "learning_rate": 0.00036890115225840904, + "loss": 4.9783, + "mean_token_accuracy": 0.18282967656850815, + "num_tokens": 9367337.0, + "step": 4235 + }, + { + "entropy": 5.495303773880005, + "epoch": 4.274331820474029, + "grad_norm": 1.203125, + "learning_rate": 0.0003685405360834376, + "loss": 4.9964, + "mean_token_accuracy": 0.1882554829120636, + "num_tokens": 9378613.0, + "step": 4240 + }, + { + "entropy": 5.522206258773804, + "epoch": 4.279374684820978, + "grad_norm": 1.09375, + "learning_rate": 0.00036817962918232234, + "loss": 4.9605, + "mean_token_accuracy": 0.18544823825359344, + "num_tokens": 9390576.0, + "step": 4245 + }, + { + "entropy": 5.513616561889648, + "epoch": 4.2844175491679275, + "grad_norm": 1.2734375, + "learning_rate": 0.00036781843267677, + "loss": 4.9929, + "mean_token_accuracy": 0.1839417487382889, + "num_tokens": 9401828.0, + "step": 4250 + }, + { + "entropy": 5.4544768810272215, + "epoch": 4.289460413514877, + "grad_norm": 1.1171875, + "learning_rate": 0.0003674569476893878, + "loss": 4.9674, + "mean_token_accuracy": 0.18869195580482484, + "num_tokens": 9414065.0, + "step": 4255 + }, + { + "entropy": 5.501214170455933, + "epoch": 4.294503277861826, + "grad_norm": 1.28125, + "learning_rate": 0.0003670951753436794, + "loss": 4.9991, + "mean_token_accuracy": 0.193516606092453, + "num_tokens": 9425025.0, + "step": 4260 + }, + { + "entropy": 5.451015043258667, + "epoch": 4.299546142208775, + "grad_norm": 1.2265625, + "learning_rate": 0.00036673311676404163, + "loss": 4.9283, + "mean_token_accuracy": 0.1888926148414612, + "num_tokens": 9435562.0, + "step": 4265 + }, + { + "entropy": 5.448048305511475, + "epoch": 4.304589006555724, + "grad_norm": 1.21875, + "learning_rate": 0.0003663707730757608, + "loss": 4.9323, + "mean_token_accuracy": 0.1817737638950348, + "num_tokens": 9445963.0, + "step": 4270 + }, + { + "entropy": 5.42729001045227, + "epoch": 4.309631870902673, + "grad_norm": 1.203125, + "learning_rate": 0.00036600814540500956, + "loss": 4.9144, + "mean_token_accuracy": 0.18806320428848267, + "num_tokens": 9456810.0, + "step": 4275 + }, + { + "entropy": 5.404821681976318, + "epoch": 4.314674735249622, + "grad_norm": 1.359375, + "learning_rate": 0.000365645234878843, + "loss": 4.944, + "mean_token_accuracy": 0.18662286251783372, + "num_tokens": 9466527.0, + "step": 4280 + }, + { + "entropy": 5.460329341888428, + "epoch": 4.31971759959657, + "grad_norm": 1.1796875, + "learning_rate": 0.00036528204262519545, + "loss": 4.9273, + "mean_token_accuracy": 0.19052704572677612, + "num_tokens": 9477770.0, + "step": 4285 + }, + { + "entropy": 5.477109098434449, + "epoch": 4.3247604639435195, + "grad_norm": 1.2109375, + "learning_rate": 0.0003649185697728768, + "loss": 4.9679, + "mean_token_accuracy": 0.1862930953502655, + "num_tokens": 9487723.0, + "step": 4290 + }, + { + "entropy": 5.513242292404175, + "epoch": 4.329803328290469, + "grad_norm": 1.4375, + "learning_rate": 0.00036455481745156906, + "loss": 4.9169, + "mean_token_accuracy": 0.19376833438873292, + "num_tokens": 9497286.0, + "step": 4295 + }, + { + "entropy": 5.3801576614379885, + "epoch": 4.334846192637418, + "grad_norm": 1.078125, + "learning_rate": 0.0003641907867918228, + "loss": 4.8533, + "mean_token_accuracy": 0.1950397878885269, + "num_tokens": 9508535.0, + "step": 4300 + }, + { + "entropy": 5.381755065917969, + "epoch": 4.339889056984367, + "grad_norm": 1.1328125, + "learning_rate": 0.0003638264789250538, + "loss": 4.9355, + "mean_token_accuracy": 0.18968858420848847, + "num_tokens": 9518165.0, + "step": 4305 + }, + { + "entropy": 5.4629909038543705, + "epoch": 4.344931921331316, + "grad_norm": 1.203125, + "learning_rate": 0.00036346189498353914, + "loss": 4.9332, + "mean_token_accuracy": 0.18796923905611038, + "num_tokens": 9528197.0, + "step": 4310 + }, + { + "entropy": 5.469100570678711, + "epoch": 4.349974785678265, + "grad_norm": 1.15625, + "learning_rate": 0.0003630970361004143, + "loss": 4.9514, + "mean_token_accuracy": 0.1987667128443718, + "num_tokens": 9539024.0, + "step": 4315 + }, + { + "entropy": 5.498983573913574, + "epoch": 4.355017650025214, + "grad_norm": 1.2109375, + "learning_rate": 0.0003627319034096691, + "loss": 4.9047, + "mean_token_accuracy": 0.1949477717280388, + "num_tokens": 9548701.0, + "step": 4320 + }, + { + "entropy": 5.3508720874786375, + "epoch": 4.360060514372163, + "grad_norm": 1.375, + "learning_rate": 0.0003623664980461443, + "loss": 4.8769, + "mean_token_accuracy": 0.19532206803560256, + "num_tokens": 9558576.0, + "step": 4325 + }, + { + "entropy": 5.39421124458313, + "epoch": 4.3651033787191125, + "grad_norm": 1.3828125, + "learning_rate": 0.00036200082114552806, + "loss": 4.9565, + "mean_token_accuracy": 0.18533562421798705, + "num_tokens": 9567464.0, + "step": 4330 + }, + { + "entropy": 5.425723648071289, + "epoch": 4.370146243066062, + "grad_norm": 1.3125, + "learning_rate": 0.00036163487384435294, + "loss": 4.8855, + "mean_token_accuracy": 0.19447901099920273, + "num_tokens": 9578011.0, + "step": 4335 + }, + { + "entropy": 5.549548530578614, + "epoch": 4.375189107413011, + "grad_norm": 1.234375, + "learning_rate": 0.0003612686572799914, + "loss": 5.0191, + "mean_token_accuracy": 0.1840487852692604, + "num_tokens": 9589279.0, + "step": 4340 + }, + { + "entropy": 5.472797155380249, + "epoch": 4.38023197175996, + "grad_norm": 1.203125, + "learning_rate": 0.0003609021725906529, + "loss": 4.9258, + "mean_token_accuracy": 0.18987287431955338, + "num_tokens": 9600170.0, + "step": 4345 + }, + { + "entropy": 5.4490509033203125, + "epoch": 4.385274836106909, + "grad_norm": 1.1484375, + "learning_rate": 0.00036053542091538045, + "loss": 4.925, + "mean_token_accuracy": 0.19032368808984756, + "num_tokens": 9611006.0, + "step": 4350 + }, + { + "entropy": 5.473626661300659, + "epoch": 4.390317700453858, + "grad_norm": 1.328125, + "learning_rate": 0.00036016840339404664, + "loss": 5.0008, + "mean_token_accuracy": 0.18587622791528702, + "num_tokens": 9621645.0, + "step": 4355 + }, + { + "entropy": 5.423802852630615, + "epoch": 4.395360564800807, + "grad_norm": 1.078125, + "learning_rate": 0.0003598011211673505, + "loss": 5.016, + "mean_token_accuracy": 0.18200191259384155, + "num_tokens": 9633221.0, + "step": 4360 + }, + { + "entropy": 5.462389421463013, + "epoch": 4.400403429147756, + "grad_norm": 1.28125, + "learning_rate": 0.0003594335753768135, + "loss": 5.0055, + "mean_token_accuracy": 0.1831961914896965, + "num_tokens": 9644616.0, + "step": 4365 + }, + { + "entropy": 5.469020700454712, + "epoch": 4.405446293494705, + "grad_norm": 1.1953125, + "learning_rate": 0.0003590657671647766, + "loss": 4.939, + "mean_token_accuracy": 0.19091181010007857, + "num_tokens": 9656072.0, + "step": 4370 + }, + { + "entropy": 5.4417582035064695, + "epoch": 4.4104891578416545, + "grad_norm": 1.2734375, + "learning_rate": 0.00035869769767439606, + "loss": 4.9764, + "mean_token_accuracy": 0.18057194650173186, + "num_tokens": 9667252.0, + "step": 4375 + }, + { + "entropy": 5.527696800231934, + "epoch": 4.415532022188603, + "grad_norm": 1.1875, + "learning_rate": 0.0003583293680496404, + "loss": 5.0256, + "mean_token_accuracy": 0.18298113197088242, + "num_tokens": 9677810.0, + "step": 4380 + }, + { + "entropy": 5.482815313339233, + "epoch": 4.420574886535552, + "grad_norm": 1.1328125, + "learning_rate": 0.0003579607794352867, + "loss": 4.9634, + "mean_token_accuracy": 0.19282228946685792, + "num_tokens": 9688950.0, + "step": 4385 + }, + { + "entropy": 5.51417818069458, + "epoch": 4.425617750882501, + "grad_norm": 1.265625, + "learning_rate": 0.00035759193297691674, + "loss": 5.0062, + "mean_token_accuracy": 0.1773902341723442, + "num_tokens": 9699961.0, + "step": 4390 + }, + { + "entropy": 5.441384744644165, + "epoch": 4.43066061522945, + "grad_norm": 1.1328125, + "learning_rate": 0.00035722282982091373, + "loss": 4.968, + "mean_token_accuracy": 0.18881333619356155, + "num_tokens": 9711548.0, + "step": 4395 + }, + { + "entropy": 5.4814496517181395, + "epoch": 4.435703479576399, + "grad_norm": 1.390625, + "learning_rate": 0.0003568534711144591, + "loss": 5.0064, + "mean_token_accuracy": 0.19238194972276687, + "num_tokens": 9722237.0, + "step": 4400 + }, + { + "entropy": 5.461666250228882, + "epoch": 4.440746343923348, + "grad_norm": 1.2734375, + "learning_rate": 0.000356483858005528, + "loss": 5.02, + "mean_token_accuracy": 0.18607597798109055, + "num_tokens": 9733654.0, + "step": 4405 + }, + { + "entropy": 5.396451997756958, + "epoch": 4.445789208270297, + "grad_norm": 1.0859375, + "learning_rate": 0.00035611399164288654, + "loss": 4.8687, + "mean_token_accuracy": 0.19753507524728775, + "num_tokens": 9745012.0, + "step": 4410 + }, + { + "entropy": 5.431181240081787, + "epoch": 4.450832072617247, + "grad_norm": 1.1484375, + "learning_rate": 0.0003557438731760879, + "loss": 4.9509, + "mean_token_accuracy": 0.18538981080055236, + "num_tokens": 9755851.0, + "step": 4415 + }, + { + "entropy": 5.40848217010498, + "epoch": 4.455874936964196, + "grad_norm": 1.171875, + "learning_rate": 0.0003553735037554689, + "loss": 4.8793, + "mean_token_accuracy": 0.19078117311000825, + "num_tokens": 9765652.0, + "step": 4420 + }, + { + "entropy": 5.463437080383301, + "epoch": 4.460917801311145, + "grad_norm": 1.15625, + "learning_rate": 0.0003550028845321461, + "loss": 4.9528, + "mean_token_accuracy": 0.18317756056785583, + "num_tokens": 9776618.0, + "step": 4425 + }, + { + "entropy": 5.437930488586426, + "epoch": 4.465960665658094, + "grad_norm": 1.3515625, + "learning_rate": 0.0003546320166580127, + "loss": 4.912, + "mean_token_accuracy": 0.18995112627744676, + "num_tokens": 9786523.0, + "step": 4430 + }, + { + "entropy": 5.503436660766601, + "epoch": 4.471003530005043, + "grad_norm": 1.1640625, + "learning_rate": 0.00035426090128573464, + "loss": 4.9902, + "mean_token_accuracy": 0.18866927772760392, + "num_tokens": 9797013.0, + "step": 4435 + }, + { + "entropy": 5.505742359161377, + "epoch": 4.476046394351992, + "grad_norm": 1.109375, + "learning_rate": 0.00035388953956874686, + "loss": 4.978, + "mean_token_accuracy": 0.1855326250195503, + "num_tokens": 9807431.0, + "step": 4440 + }, + { + "entropy": 5.459383773803711, + "epoch": 4.481089258698941, + "grad_norm": 1.328125, + "learning_rate": 0.0003535179326612504, + "loss": 5.0067, + "mean_token_accuracy": 0.18672738820314408, + "num_tokens": 9817560.0, + "step": 4445 + }, + { + "entropy": 5.431673955917359, + "epoch": 4.48613212304589, + "grad_norm": 1.0703125, + "learning_rate": 0.00035314608171820787, + "loss": 4.9291, + "mean_token_accuracy": 0.18797255009412767, + "num_tokens": 9828233.0, + "step": 4450 + }, + { + "entropy": 5.450408601760865, + "epoch": 4.4911749873928395, + "grad_norm": 1.3046875, + "learning_rate": 0.00035277398789534075, + "loss": 4.9298, + "mean_token_accuracy": 0.19417595118284225, + "num_tokens": 9838699.0, + "step": 4455 + }, + { + "entropy": 5.42654972076416, + "epoch": 4.496217851739789, + "grad_norm": 1.203125, + "learning_rate": 0.0003524016523491252, + "loss": 4.9502, + "mean_token_accuracy": 0.1807286635041237, + "num_tokens": 9849635.0, + "step": 4460 + }, + { + "entropy": 5.424818992614746, + "epoch": 4.501260716086737, + "grad_norm": 1.1015625, + "learning_rate": 0.00035202907623678865, + "loss": 4.9072, + "mean_token_accuracy": 0.18710703998804093, + "num_tokens": 9861822.0, + "step": 4465 + }, + { + "entropy": 5.43951678276062, + "epoch": 4.506303580433686, + "grad_norm": 1.171875, + "learning_rate": 0.0003516562607163062, + "loss": 4.9867, + "mean_token_accuracy": 0.18685145676136017, + "num_tokens": 9872341.0, + "step": 4470 + }, + { + "entropy": 5.522892475128174, + "epoch": 4.511346444780635, + "grad_norm": 1.2265625, + "learning_rate": 0.0003512832069463971, + "loss": 5.009, + "mean_token_accuracy": 0.18200730085372924, + "num_tokens": 9883078.0, + "step": 4475 + }, + { + "entropy": 5.457088470458984, + "epoch": 4.516389309127584, + "grad_norm": 1.109375, + "learning_rate": 0.00035090991608652125, + "loss": 5.0672, + "mean_token_accuracy": 0.18591289818286896, + "num_tokens": 9894688.0, + "step": 4480 + }, + { + "entropy": 5.392157983779907, + "epoch": 4.521432173474533, + "grad_norm": 1.2890625, + "learning_rate": 0.00035053638929687504, + "loss": 4.8778, + "mean_token_accuracy": 0.18869801312685014, + "num_tokens": 9904409.0, + "step": 4485 + }, + { + "entropy": 5.485831022262573, + "epoch": 4.526475037821482, + "grad_norm": 1.140625, + "learning_rate": 0.0003501626277383884, + "loss": 5.0515, + "mean_token_accuracy": 0.1752968832850456, + "num_tokens": 9915204.0, + "step": 4490 + }, + { + "entropy": 5.5224214553833, + "epoch": 4.5315179021684315, + "grad_norm": 1.2734375, + "learning_rate": 0.000349788632572721, + "loss": 4.9806, + "mean_token_accuracy": 0.18406761437654495, + "num_tokens": 9927354.0, + "step": 4495 + }, + { + "entropy": 5.412999963760376, + "epoch": 4.536560766515381, + "grad_norm": 1.296875, + "learning_rate": 0.0003494144049622582, + "loss": 4.902, + "mean_token_accuracy": 0.1886482670903206, + "num_tokens": 9939009.0, + "step": 4500 + }, + { + "entropy": 5.391222190856934, + "epoch": 4.54160363086233, + "grad_norm": 1.2421875, + "learning_rate": 0.0003490399460701083, + "loss": 5.0147, + "mean_token_accuracy": 0.18851865231990814, + "num_tokens": 9950332.0, + "step": 4505 + }, + { + "entropy": 5.448312902450562, + "epoch": 4.546646495209279, + "grad_norm": 1.1484375, + "learning_rate": 0.000348665257060098, + "loss": 4.922, + "mean_token_accuracy": 0.1947105810046196, + "num_tokens": 9961206.0, + "step": 4510 + }, + { + "entropy": 5.484153413772583, + "epoch": 4.551689359556228, + "grad_norm": 1.2109375, + "learning_rate": 0.0003482903390967695, + "loss": 4.917, + "mean_token_accuracy": 0.19644837379455565, + "num_tokens": 9972272.0, + "step": 4515 + }, + { + "entropy": 5.377922439575196, + "epoch": 4.556732223903177, + "grad_norm": 1.375, + "learning_rate": 0.00034791519334537635, + "loss": 4.9262, + "mean_token_accuracy": 0.19269737154245375, + "num_tokens": 9982189.0, + "step": 4520 + }, + { + "entropy": 5.377587604522705, + "epoch": 4.561775088250126, + "grad_norm": 1.1953125, + "learning_rate": 0.0003475398209718804, + "loss": 4.8724, + "mean_token_accuracy": 0.1955879732966423, + "num_tokens": 9993122.0, + "step": 4525 + }, + { + "entropy": 5.44607400894165, + "epoch": 4.566817952597075, + "grad_norm": 1.140625, + "learning_rate": 0.0003471642231429475, + "loss": 4.8815, + "mean_token_accuracy": 0.19085957556962968, + "num_tokens": 10004043.0, + "step": 4530 + }, + { + "entropy": 5.408733749389649, + "epoch": 4.5718608169440245, + "grad_norm": 1.21875, + "learning_rate": 0.0003467884010259443, + "loss": 4.8907, + "mean_token_accuracy": 0.19512842446565629, + "num_tokens": 10014042.0, + "step": 4535 + }, + { + "entropy": 5.363145399093628, + "epoch": 4.576903681290974, + "grad_norm": 1.1171875, + "learning_rate": 0.00034641235578893476, + "loss": 4.8653, + "mean_token_accuracy": 0.1962948814034462, + "num_tokens": 10025742.0, + "step": 4540 + }, + { + "entropy": 5.402016878128052, + "epoch": 4.581946545637923, + "grad_norm": 1.2421875, + "learning_rate": 0.0003460360886006761, + "loss": 4.9674, + "mean_token_accuracy": 0.18587110042572022, + "num_tokens": 10036727.0, + "step": 4545 + }, + { + "entropy": 5.4374651432037355, + "epoch": 4.586989409984872, + "grad_norm": 1.1953125, + "learning_rate": 0.00034565960063061534, + "loss": 4.9226, + "mean_token_accuracy": 0.18302160054445266, + "num_tokens": 10047246.0, + "step": 4550 + }, + { + "entropy": 5.398792886734009, + "epoch": 4.592032274331821, + "grad_norm": 1.1015625, + "learning_rate": 0.0003452828930488859, + "loss": 4.9253, + "mean_token_accuracy": 0.1938019722700119, + "num_tokens": 10059750.0, + "step": 4555 + }, + { + "entropy": 5.455434322357178, + "epoch": 4.597075138678769, + "grad_norm": 1.0625, + "learning_rate": 0.00034490596702630355, + "loss": 4.9739, + "mean_token_accuracy": 0.1875145599246025, + "num_tokens": 10071431.0, + "step": 4560 + }, + { + "entropy": 5.463915681838989, + "epoch": 4.602118003025718, + "grad_norm": 1.2578125, + "learning_rate": 0.0003445288237343632, + "loss": 4.9644, + "mean_token_accuracy": 0.18932064026594161, + "num_tokens": 10081567.0, + "step": 4565 + }, + { + "entropy": 5.497029161453247, + "epoch": 4.607160867372667, + "grad_norm": 1.1484375, + "learning_rate": 0.00034415146434523463, + "loss": 5.0002, + "mean_token_accuracy": 0.18606244027614594, + "num_tokens": 10092506.0, + "step": 4570 + }, + { + "entropy": 5.480929279327393, + "epoch": 4.6122037317196165, + "grad_norm": 1.296875, + "learning_rate": 0.00034377389003175984, + "loss": 4.9801, + "mean_token_accuracy": 0.1865699604153633, + "num_tokens": 10103896.0, + "step": 4575 + }, + { + "entropy": 5.372171783447266, + "epoch": 4.617246596066566, + "grad_norm": 1.421875, + "learning_rate": 0.0003433961019674483, + "loss": 4.9572, + "mean_token_accuracy": 0.1918066293001175, + "num_tokens": 10113646.0, + "step": 4580 + }, + { + "entropy": 5.419704341888428, + "epoch": 4.622289460413515, + "grad_norm": 1.109375, + "learning_rate": 0.0003430181013264741, + "loss": 5.0208, + "mean_token_accuracy": 0.1797514334321022, + "num_tokens": 10125097.0, + "step": 4585 + }, + { + "entropy": 5.5000776767730715, + "epoch": 4.627332324760464, + "grad_norm": 1.296875, + "learning_rate": 0.0003426398892836719, + "loss": 4.9718, + "mean_token_accuracy": 0.18807972222566605, + "num_tokens": 10137396.0, + "step": 4590 + }, + { + "entropy": 5.483876419067383, + "epoch": 4.632375189107413, + "grad_norm": 1.171875, + "learning_rate": 0.0003422614670145336, + "loss": 5.0777, + "mean_token_accuracy": 0.18274005502462387, + "num_tokens": 10147483.0, + "step": 4595 + }, + { + "entropy": 5.432821559906006, + "epoch": 4.637418053454362, + "grad_norm": 1.1796875, + "learning_rate": 0.0003418828356952041, + "loss": 4.951, + "mean_token_accuracy": 0.18625150471925736, + "num_tokens": 10159693.0, + "step": 4600 + }, + { + "entropy": 5.431114387512207, + "epoch": 4.642460917801311, + "grad_norm": 1.2109375, + "learning_rate": 0.00034150399650247846, + "loss": 4.84, + "mean_token_accuracy": 0.19102736562490463, + "num_tokens": 10170371.0, + "step": 4605 + }, + { + "entropy": 5.411733675003052, + "epoch": 4.64750378214826, + "grad_norm": 1.2578125, + "learning_rate": 0.00034112495061379764, + "loss": 4.9494, + "mean_token_accuracy": 0.19134079068899154, + "num_tokens": 10181487.0, + "step": 4610 + }, + { + "entropy": 5.41342191696167, + "epoch": 4.652546646495209, + "grad_norm": 1.25, + "learning_rate": 0.00034074569920724483, + "loss": 4.9766, + "mean_token_accuracy": 0.18301253765821457, + "num_tokens": 10193386.0, + "step": 4615 + }, + { + "entropy": 5.498093175888061, + "epoch": 4.6575895108421586, + "grad_norm": 1.1328125, + "learning_rate": 0.0003403662434615423, + "loss": 5.0328, + "mean_token_accuracy": 0.18311253786087037, + "num_tokens": 10205531.0, + "step": 4620 + }, + { + "entropy": 5.456884098052979, + "epoch": 4.662632375189108, + "grad_norm": 1.0703125, + "learning_rate": 0.00033998658455604736, + "loss": 4.9797, + "mean_token_accuracy": 0.18898638486862182, + "num_tokens": 10216586.0, + "step": 4625 + }, + { + "entropy": 5.431148862838745, + "epoch": 4.667675239536057, + "grad_norm": 1.171875, + "learning_rate": 0.00033960672367074827, + "loss": 4.8987, + "mean_token_accuracy": 0.19037448465824128, + "num_tokens": 10227330.0, + "step": 4630 + }, + { + "entropy": 5.440126276016235, + "epoch": 4.672718103883006, + "grad_norm": 1.140625, + "learning_rate": 0.0003392266619862619, + "loss": 5.0402, + "mean_token_accuracy": 0.17827739417552949, + "num_tokens": 10238295.0, + "step": 4635 + }, + { + "entropy": 5.449625444412232, + "epoch": 4.677760968229954, + "grad_norm": 1.2109375, + "learning_rate": 0.0003388464006838284, + "loss": 4.9925, + "mean_token_accuracy": 0.19437420070171357, + "num_tokens": 10249011.0, + "step": 4640 + }, + { + "entropy": 5.503025913238526, + "epoch": 4.682803832576903, + "grad_norm": 1.2265625, + "learning_rate": 0.00033846594094530874, + "loss": 4.9525, + "mean_token_accuracy": 0.18661330491304398, + "num_tokens": 10260986.0, + "step": 4645 + }, + { + "entropy": 5.403000020980835, + "epoch": 4.687846696923852, + "grad_norm": 1.109375, + "learning_rate": 0.0003380852839531806, + "loss": 4.9642, + "mean_token_accuracy": 0.18330392688512803, + "num_tokens": 10271557.0, + "step": 4650 + }, + { + "entropy": 5.465458154678345, + "epoch": 4.6928895612708015, + "grad_norm": 1.265625, + "learning_rate": 0.00033770443089053476, + "loss": 4.9798, + "mean_token_accuracy": 0.18609561026096344, + "num_tokens": 10281458.0, + "step": 4655 + }, + { + "entropy": 5.459237432479858, + "epoch": 4.697932425617751, + "grad_norm": 1.078125, + "learning_rate": 0.00033732338294107116, + "loss": 4.9671, + "mean_token_accuracy": 0.1871896654367447, + "num_tokens": 10293336.0, + "step": 4660 + }, + { + "entropy": 5.432980871200561, + "epoch": 4.7029752899647, + "grad_norm": 1.2734375, + "learning_rate": 0.00033694214128909567, + "loss": 4.9673, + "mean_token_accuracy": 0.18993277698755265, + "num_tokens": 10303633.0, + "step": 4665 + }, + { + "entropy": 5.44464521408081, + "epoch": 4.708018154311649, + "grad_norm": 1.2578125, + "learning_rate": 0.00033656070711951633, + "loss": 4.9845, + "mean_token_accuracy": 0.18049918115139008, + "num_tokens": 10314776.0, + "step": 4670 + }, + { + "entropy": 5.4221460819244385, + "epoch": 4.713061018658598, + "grad_norm": 1.09375, + "learning_rate": 0.0003361790816178391, + "loss": 4.9222, + "mean_token_accuracy": 0.19435497671365737, + "num_tokens": 10325792.0, + "step": 4675 + }, + { + "entropy": 5.3949438571929935, + "epoch": 4.718103883005547, + "grad_norm": 1.21875, + "learning_rate": 0.0003357972659701649, + "loss": 5.0, + "mean_token_accuracy": 0.18047935217618943, + "num_tokens": 10339024.0, + "step": 4680 + }, + { + "entropy": 5.466359615325928, + "epoch": 4.723146747352496, + "grad_norm": 1.2421875, + "learning_rate": 0.00033541526136318564, + "loss": 4.9542, + "mean_token_accuracy": 0.18820637315511704, + "num_tokens": 10349198.0, + "step": 4685 + }, + { + "entropy": 5.476608657836914, + "epoch": 4.728189611699445, + "grad_norm": 1.1328125, + "learning_rate": 0.0003350330689841804, + "loss": 5.047, + "mean_token_accuracy": 0.17754877507686614, + "num_tokens": 10360925.0, + "step": 4690 + }, + { + "entropy": 5.471492719650269, + "epoch": 4.733232476046394, + "grad_norm": 1.25, + "learning_rate": 0.0003346506900210118, + "loss": 4.9786, + "mean_token_accuracy": 0.1891571193933487, + "num_tokens": 10372074.0, + "step": 4695 + }, + { + "entropy": 5.40898289680481, + "epoch": 4.7382753403933435, + "grad_norm": 1.2578125, + "learning_rate": 0.0003342681256621227, + "loss": 4.8793, + "mean_token_accuracy": 0.19103499352931977, + "num_tokens": 10384050.0, + "step": 4700 + }, + { + "entropy": 5.43700852394104, + "epoch": 4.743318204740293, + "grad_norm": 1.203125, + "learning_rate": 0.0003338853770965319, + "loss": 4.9256, + "mean_token_accuracy": 0.18500882834196092, + "num_tokens": 10394466.0, + "step": 4705 + }, + { + "entropy": 5.408495807647705, + "epoch": 4.748361069087242, + "grad_norm": 1.1953125, + "learning_rate": 0.00033350244551383064, + "loss": 4.9981, + "mean_token_accuracy": 0.18811080902814864, + "num_tokens": 10405279.0, + "step": 4710 + }, + { + "entropy": 5.397424650192261, + "epoch": 4.753403933434191, + "grad_norm": 1.1796875, + "learning_rate": 0.0003331193321041793, + "loss": 4.9563, + "mean_token_accuracy": 0.1881820723414421, + "num_tokens": 10417504.0, + "step": 4715 + }, + { + "entropy": 5.425117683410645, + "epoch": 4.75844679778114, + "grad_norm": 1.1015625, + "learning_rate": 0.00033273603805830296, + "loss": 4.9777, + "mean_token_accuracy": 0.18997900187969208, + "num_tokens": 10428824.0, + "step": 4720 + }, + { + "entropy": 5.47361912727356, + "epoch": 4.763489662128089, + "grad_norm": 1.140625, + "learning_rate": 0.00033235256456748847, + "loss": 5.0229, + "mean_token_accuracy": 0.1850911021232605, + "num_tokens": 10440164.0, + "step": 4725 + }, + { + "entropy": 5.507453775405883, + "epoch": 4.768532526475038, + "grad_norm": 1.2578125, + "learning_rate": 0.0003319689128235804, + "loss": 4.9309, + "mean_token_accuracy": 0.19020796716213226, + "num_tokens": 10450216.0, + "step": 4730 + }, + { + "entropy": 5.436894702911377, + "epoch": 4.773575390821987, + "grad_norm": 1.390625, + "learning_rate": 0.00033158508401897707, + "loss": 4.9579, + "mean_token_accuracy": 0.19510447680950166, + "num_tokens": 10461521.0, + "step": 4735 + }, + { + "entropy": 5.441084003448486, + "epoch": 4.778618255168936, + "grad_norm": 1.140625, + "learning_rate": 0.0003312010793466273, + "loss": 5.0663, + "mean_token_accuracy": 0.17662031203508377, + "num_tokens": 10473052.0, + "step": 4740 + }, + { + "entropy": 5.386702537536621, + "epoch": 4.783661119515885, + "grad_norm": 1.2734375, + "learning_rate": 0.0003308169000000265, + "loss": 4.9103, + "mean_token_accuracy": 0.19201598614454268, + "num_tokens": 10483197.0, + "step": 4745 + }, + { + "entropy": 5.4234694480896, + "epoch": 4.788703983862834, + "grad_norm": 1.203125, + "learning_rate": 0.0003304325471732129, + "loss": 4.9217, + "mean_token_accuracy": 0.18737069070339202, + "num_tokens": 10493877.0, + "step": 4750 + }, + { + "entropy": 5.445645141601562, + "epoch": 4.793746848209783, + "grad_norm": 1.09375, + "learning_rate": 0.00033004802206076396, + "loss": 4.9896, + "mean_token_accuracy": 0.1867102414369583, + "num_tokens": 10505457.0, + "step": 4755 + }, + { + "entropy": 5.451334476470947, + "epoch": 4.798789712556732, + "grad_norm": 1.25, + "learning_rate": 0.00032966332585779263, + "loss": 5.0065, + "mean_token_accuracy": 0.18804700821638107, + "num_tokens": 10516746.0, + "step": 4760 + }, + { + "entropy": 5.501697826385498, + "epoch": 4.803832576903681, + "grad_norm": 1.265625, + "learning_rate": 0.00032927845975994356, + "loss": 4.987, + "mean_token_accuracy": 0.18748954087495803, + "num_tokens": 10527879.0, + "step": 4765 + }, + { + "entropy": 5.478173398971558, + "epoch": 4.80887544125063, + "grad_norm": 1.25, + "learning_rate": 0.00032889342496338953, + "loss": 5.043, + "mean_token_accuracy": 0.18037958443164825, + "num_tokens": 10539729.0, + "step": 4770 + }, + { + "entropy": 5.456065368652344, + "epoch": 4.813918305597579, + "grad_norm": 1.1484375, + "learning_rate": 0.0003285082226648273, + "loss": 5.061, + "mean_token_accuracy": 0.18717390894889832, + "num_tokens": 10551343.0, + "step": 4775 + }, + { + "entropy": 5.458584022521973, + "epoch": 4.8189611699445285, + "grad_norm": 1.1875, + "learning_rate": 0.0003281228540614749, + "loss": 4.9506, + "mean_token_accuracy": 0.19011957943439484, + "num_tokens": 10562362.0, + "step": 4780 + }, + { + "entropy": 5.431289768218994, + "epoch": 4.824004034291478, + "grad_norm": 1.1171875, + "learning_rate": 0.00032773732035106657, + "loss": 4.9544, + "mean_token_accuracy": 0.18818462193012236, + "num_tokens": 10574203.0, + "step": 4785 + }, + { + "entropy": 5.452210330963135, + "epoch": 4.829046898638427, + "grad_norm": 1.1796875, + "learning_rate": 0.00032735162273185006, + "loss": 4.9991, + "mean_token_accuracy": 0.17896709591150284, + "num_tokens": 10585732.0, + "step": 4790 + }, + { + "entropy": 5.494658279418945, + "epoch": 4.834089762985376, + "grad_norm": 1.1953125, + "learning_rate": 0.0003269657624025824, + "loss": 5.0101, + "mean_token_accuracy": 0.19213832318782806, + "num_tokens": 10596414.0, + "step": 4795 + }, + { + "entropy": 5.473741817474365, + "epoch": 4.839132627332325, + "grad_norm": 1.03125, + "learning_rate": 0.0003265797405625265, + "loss": 4.947, + "mean_token_accuracy": 0.189757277071476, + "num_tokens": 10608893.0, + "step": 4800 + }, + { + "entropy": 5.353061628341675, + "epoch": 4.844175491679274, + "grad_norm": 1.2421875, + "learning_rate": 0.0003261935584114471, + "loss": 4.869, + "mean_token_accuracy": 0.19499963223934175, + "num_tokens": 10619229.0, + "step": 4805 + }, + { + "entropy": 5.358573865890503, + "epoch": 4.849218356026223, + "grad_norm": 1.0703125, + "learning_rate": 0.0003258072171496072, + "loss": 4.9867, + "mean_token_accuracy": 0.18436321318149568, + "num_tokens": 10630811.0, + "step": 4810 + }, + { + "entropy": 5.45855302810669, + "epoch": 4.854261220373172, + "grad_norm": 1.3203125, + "learning_rate": 0.0003254207179777644, + "loss": 4.9808, + "mean_token_accuracy": 0.19197733849287033, + "num_tokens": 10641191.0, + "step": 4815 + }, + { + "entropy": 5.453788089752197, + "epoch": 4.8593040847201205, + "grad_norm": 1.265625, + "learning_rate": 0.000325034062097167, + "loss": 5.0329, + "mean_token_accuracy": 0.18242633044719697, + "num_tokens": 10652019.0, + "step": 4820 + }, + { + "entropy": 5.456726026535034, + "epoch": 4.86434694906707, + "grad_norm": 1.140625, + "learning_rate": 0.00032464725070955046, + "loss": 5.0328, + "mean_token_accuracy": 0.18062737584114075, + "num_tokens": 10664820.0, + "step": 4825 + }, + { + "entropy": 5.48663558959961, + "epoch": 4.869389813414019, + "grad_norm": 1.296875, + "learning_rate": 0.00032426028501713347, + "loss": 4.9731, + "mean_token_accuracy": 0.18408883810043336, + "num_tokens": 10676343.0, + "step": 4830 + }, + { + "entropy": 5.445742988586426, + "epoch": 4.874432677760968, + "grad_norm": 1.25, + "learning_rate": 0.00032387316622261425, + "loss": 5.0056, + "mean_token_accuracy": 0.18338582515716553, + "num_tokens": 10687464.0, + "step": 4835 + }, + { + "entropy": 5.407337713241577, + "epoch": 4.879475542107917, + "grad_norm": 1.1328125, + "learning_rate": 0.00032348589552916703, + "loss": 4.9456, + "mean_token_accuracy": 0.18678104132413864, + "num_tokens": 10698796.0, + "step": 4840 + }, + { + "entropy": 5.440946578979492, + "epoch": 4.884518406454866, + "grad_norm": 1.21875, + "learning_rate": 0.0003230984741404381, + "loss": 4.9428, + "mean_token_accuracy": 0.18648777455091475, + "num_tokens": 10708759.0, + "step": 4845 + }, + { + "entropy": 5.520267152786255, + "epoch": 4.889561270801815, + "grad_norm": 1.3671875, + "learning_rate": 0.0003227109032605419, + "loss": 4.9954, + "mean_token_accuracy": 0.18635909855365754, + "num_tokens": 10718518.0, + "step": 4850 + }, + { + "entropy": 5.474165201187134, + "epoch": 4.894604135148764, + "grad_norm": 1.171875, + "learning_rate": 0.0003223231840940578, + "loss": 5.0391, + "mean_token_accuracy": 0.18102305382490158, + "num_tokens": 10730091.0, + "step": 4855 + }, + { + "entropy": 5.400430488586426, + "epoch": 4.8996469994957135, + "grad_norm": 1.2578125, + "learning_rate": 0.00032193531784602595, + "loss": 4.9725, + "mean_token_accuracy": 0.18741223067045212, + "num_tokens": 10739664.0, + "step": 4860 + }, + { + "entropy": 5.423764419555664, + "epoch": 4.904689863842663, + "grad_norm": 1.3359375, + "learning_rate": 0.00032154730572194346, + "loss": 4.9291, + "mean_token_accuracy": 0.19145375043153762, + "num_tokens": 10749573.0, + "step": 4865 + }, + { + "entropy": 5.503514146804809, + "epoch": 4.909732728189612, + "grad_norm": 1.2734375, + "learning_rate": 0.000321159148927761, + "loss": 5.0556, + "mean_token_accuracy": 0.18899090141057967, + "num_tokens": 10760455.0, + "step": 4870 + }, + { + "entropy": 5.5097449779510494, + "epoch": 4.914775592536561, + "grad_norm": 1.3125, + "learning_rate": 0.000320770848669879, + "loss": 5.0187, + "mean_token_accuracy": 0.18463164716959, + "num_tokens": 10771845.0, + "step": 4875 + }, + { + "entropy": 5.438835954666137, + "epoch": 4.91981845688351, + "grad_norm": 1.171875, + "learning_rate": 0.00032038240615514345, + "loss": 4.9946, + "mean_token_accuracy": 0.18855448365211486, + "num_tokens": 10783812.0, + "step": 4880 + }, + { + "entropy": 5.403696203231812, + "epoch": 4.924861321230459, + "grad_norm": 1.3125, + "learning_rate": 0.0003199938225908426, + "loss": 4.9135, + "mean_token_accuracy": 0.18758562356233596, + "num_tokens": 10794390.0, + "step": 4885 + }, + { + "entropy": 5.430738544464111, + "epoch": 4.929904185577408, + "grad_norm": 1.140625, + "learning_rate": 0.0003196050991847033, + "loss": 4.9578, + "mean_token_accuracy": 0.18548450171947478, + "num_tokens": 10805521.0, + "step": 4890 + }, + { + "entropy": 5.4192510604858395, + "epoch": 4.934947049924357, + "grad_norm": 1.15625, + "learning_rate": 0.0003192162371448868, + "loss": 4.9664, + "mean_token_accuracy": 0.1857212409377098, + "num_tokens": 10816265.0, + "step": 4895 + }, + { + "entropy": 5.4131299495697025, + "epoch": 4.939989914271306, + "grad_norm": 1.28125, + "learning_rate": 0.00031882723767998517, + "loss": 4.9921, + "mean_token_accuracy": 0.18737585991621017, + "num_tokens": 10826285.0, + "step": 4900 + }, + { + "entropy": 5.41847596168518, + "epoch": 4.9450327786182555, + "grad_norm": 1.2578125, + "learning_rate": 0.00031843810199901795, + "loss": 4.9347, + "mean_token_accuracy": 0.19147606939077377, + "num_tokens": 10836817.0, + "step": 4905 + }, + { + "entropy": 5.45005612373352, + "epoch": 4.950075642965205, + "grad_norm": 1.171875, + "learning_rate": 0.0003180488313114277, + "loss": 4.9638, + "mean_token_accuracy": 0.18842111229896547, + "num_tokens": 10848186.0, + "step": 4910 + }, + { + "entropy": 5.374664354324341, + "epoch": 4.955118507312154, + "grad_norm": 1.234375, + "learning_rate": 0.0003176594268270766, + "loss": 4.9524, + "mean_token_accuracy": 0.19444430619478226, + "num_tokens": 10858851.0, + "step": 4915 + }, + { + "entropy": 5.424822568893433, + "epoch": 4.960161371659103, + "grad_norm": 1.1171875, + "learning_rate": 0.00031726988975624293, + "loss": 4.9957, + "mean_token_accuracy": 0.18679312616586685, + "num_tokens": 10870242.0, + "step": 4920 + }, + { + "entropy": 5.4419248580932615, + "epoch": 4.965204236006051, + "grad_norm": 1.2734375, + "learning_rate": 0.00031688022130961675, + "loss": 4.9299, + "mean_token_accuracy": 0.18993133008480073, + "num_tokens": 10881580.0, + "step": 4925 + }, + { + "entropy": 5.439469051361084, + "epoch": 4.970247100353, + "grad_norm": 1.1484375, + "learning_rate": 0.0003164904226982967, + "loss": 4.9934, + "mean_token_accuracy": 0.19487899541854858, + "num_tokens": 10893140.0, + "step": 4930 + }, + { + "entropy": 5.448909187316895, + "epoch": 4.975289964699949, + "grad_norm": 1.1328125, + "learning_rate": 0.00031610049513378574, + "loss": 4.9945, + "mean_token_accuracy": 0.1908086955547333, + "num_tokens": 10904373.0, + "step": 4935 + }, + { + "entropy": 5.507550525665283, + "epoch": 4.9803328290468984, + "grad_norm": 1.328125, + "learning_rate": 0.00031571043982798786, + "loss": 5.0025, + "mean_token_accuracy": 0.18820565193891525, + "num_tokens": 10914155.0, + "step": 4940 + }, + { + "entropy": 5.516139650344849, + "epoch": 4.985375693393848, + "grad_norm": 1.1796875, + "learning_rate": 0.0003153202579932039, + "loss": 5.009, + "mean_token_accuracy": 0.1866231933236122, + "num_tokens": 10926325.0, + "step": 4945 + }, + { + "entropy": 5.493792581558227, + "epoch": 4.990418557740797, + "grad_norm": 1.15625, + "learning_rate": 0.00031492995084212794, + "loss": 5.0369, + "mean_token_accuracy": 0.18808876425027848, + "num_tokens": 10938799.0, + "step": 4950 + }, + { + "entropy": 5.443079853057862, + "epoch": 4.995461422087746, + "grad_norm": 1.1796875, + "learning_rate": 0.0003145395195878437, + "loss": 4.8587, + "mean_token_accuracy": 0.19427645206451416, + "num_tokens": 10949918.0, + "step": 4955 + }, + { + "entropy": 5.373980893029107, + "epoch": 5.0, + "grad_norm": 2.296875, + "learning_rate": 0.00031414896544382047, + "loss": 4.8479, + "mean_token_accuracy": 0.1932825760708915, + "num_tokens": 10958200.0, + "step": 4960 + }, + { + "entropy": 5.377087545394898, + "epoch": 5.005042864346949, + "grad_norm": 1.1796875, + "learning_rate": 0.0003137582896239095, + "loss": 4.7798, + "mean_token_accuracy": 0.19978601783514022, + "num_tokens": 10969020.0, + "step": 4965 + }, + { + "entropy": 5.3690825462341305, + "epoch": 5.010085728693898, + "grad_norm": 1.1796875, + "learning_rate": 0.0003133674933423404, + "loss": 4.6958, + "mean_token_accuracy": 0.21049367189407348, + "num_tokens": 10978191.0, + "step": 4970 + }, + { + "entropy": 5.39783124923706, + "epoch": 5.015128593040847, + "grad_norm": 1.1171875, + "learning_rate": 0.00031297657781371687, + "loss": 4.769, + "mean_token_accuracy": 0.20987659692764282, + "num_tokens": 10989022.0, + "step": 4975 + }, + { + "entropy": 5.46621470451355, + "epoch": 5.0201714573877965, + "grad_norm": 1.25, + "learning_rate": 0.0003125855442530135, + "loss": 4.8209, + "mean_token_accuracy": 0.20026374459266663, + "num_tokens": 11002727.0, + "step": 4980 + }, + { + "entropy": 5.405496120452881, + "epoch": 5.025214321734746, + "grad_norm": 1.078125, + "learning_rate": 0.00031219439387557155, + "loss": 4.762, + "mean_token_accuracy": 0.2060738682746887, + "num_tokens": 11013723.0, + "step": 4985 + }, + { + "entropy": 5.470185852050781, + "epoch": 5.030257186081695, + "grad_norm": 1.1640625, + "learning_rate": 0.00031180312789709535, + "loss": 4.7332, + "mean_token_accuracy": 0.20676991194486619, + "num_tokens": 11024676.0, + "step": 4990 + }, + { + "entropy": 5.4253129959106445, + "epoch": 5.035300050428644, + "grad_norm": 1.2265625, + "learning_rate": 0.0003114117475336487, + "loss": 4.7794, + "mean_token_accuracy": 0.2019949272274971, + "num_tokens": 11036314.0, + "step": 4995 + }, + { + "entropy": 5.399463033676147, + "epoch": 5.040342914775593, + "grad_norm": 1.3046875, + "learning_rate": 0.0003110202540016509, + "loss": 4.7499, + "mean_token_accuracy": 0.2073090746998787, + "num_tokens": 11046321.0, + "step": 5000 + }, + { + "epoch": 5.040342914775593, + "eval_entropy": 5.259037116708343, + "eval_loss": 5.665579795837402, + "eval_mean_token_accuracy": 0.1547874487538374, + "eval_num_tokens": 11046321.0, + "eval_runtime": 2.0489, + "eval_samples_per_second": 1531.555, + "eval_steps_per_second": 191.81, + "step": 5000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2731819559731200.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-5000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-6000/added_tokens.json b/checkpoint-6000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-6000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6000/model.safetensors b/checkpoint-6000/model.safetensors new file mode 100644 index 0000000..8b25217 --- /dev/null +++ b/checkpoint-6000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6c8eec16da24106dab644263092578b13ce0eef67087afce4ecf4c90789380fb +size 78179408 diff --git a/checkpoint-6000/rng_state.pth b/checkpoint-6000/rng_state.pth new file mode 100644 index 0000000..41ca024 --- /dev/null +++ b/checkpoint-6000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:466f8d77f5212847c20ba8688bfdfb88d59e2e284d9c12bbedd10dd853842e68 +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-6000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..fc0b1ce --- /dev/null +++ b/checkpoint-6000/trainer_state.json @@ -0,0 +1,12100 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.048411497730711, + "eval_steps": 1000, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + }, + { + "entropy": 5.507882356643677, + "epoch": 4.0373171961674235, + "grad_norm": 1.2890625, + "learning_rate": 0.0003851560183515953, + "loss": 4.9006, + "mean_token_accuracy": 0.19513047337532044, + "num_tokens": 8846883.0, + "step": 4005 + }, + { + "entropy": 5.636105680465699, + "epoch": 4.042360060514373, + "grad_norm": 1.140625, + "learning_rate": 0.000384809971843246, + "loss": 5.0285, + "mean_token_accuracy": 0.18483300358057023, + "num_tokens": 8857592.0, + "step": 4010 + }, + { + "entropy": 5.475295829772949, + "epoch": 4.047402924861321, + "grad_norm": 1.09375, + "learning_rate": 0.000384463584042971, + "loss": 4.8952, + "mean_token_accuracy": 0.19550566673278807, + "num_tokens": 8868527.0, + "step": 4015 + }, + { + "entropy": 5.454197931289673, + "epoch": 4.05244578920827, + "grad_norm": 1.1640625, + "learning_rate": 0.00038411685602735175, + "loss": 4.9249, + "mean_token_accuracy": 0.1891388326883316, + "num_tokens": 8879416.0, + "step": 4020 + }, + { + "entropy": 5.4192150115966795, + "epoch": 4.057488653555219, + "grad_norm": 1.140625, + "learning_rate": 0.00038376978887402687, + "loss": 4.9098, + "mean_token_accuracy": 0.19191017746925354, + "num_tokens": 8889452.0, + "step": 4025 + }, + { + "entropy": 5.370370864868164, + "epoch": 4.062531517902168, + "grad_norm": 1.0625, + "learning_rate": 0.0003834223836616891, + "loss": 4.7748, + "mean_token_accuracy": 0.19761549085378646, + "num_tokens": 8900447.0, + "step": 4030 + }, + { + "entropy": 5.534723281860352, + "epoch": 4.067574382249117, + "grad_norm": 1.1328125, + "learning_rate": 0.00038307464147008176, + "loss": 4.9709, + "mean_token_accuracy": 0.18329481780529022, + "num_tokens": 8911298.0, + "step": 4035 + }, + { + "entropy": 5.439350223541259, + "epoch": 4.072617246596066, + "grad_norm": 1.15625, + "learning_rate": 0.0003827265633799957, + "loss": 4.9157, + "mean_token_accuracy": 0.1890334367752075, + "num_tokens": 8922279.0, + "step": 4040 + }, + { + "entropy": 5.486150932312012, + "epoch": 4.0776601109430155, + "grad_norm": 1.1875, + "learning_rate": 0.0003823781504732657, + "loss": 4.9313, + "mean_token_accuracy": 0.18667482137680053, + "num_tokens": 8934780.0, + "step": 4045 + }, + { + "entropy": 5.514814758300782, + "epoch": 4.082702975289965, + "grad_norm": 1.1484375, + "learning_rate": 0.0003820294038327669, + "loss": 4.8954, + "mean_token_accuracy": 0.1852332517504692, + "num_tokens": 8946114.0, + "step": 4050 + }, + { + "entropy": 5.417545366287231, + "epoch": 4.087745839636914, + "grad_norm": 1.015625, + "learning_rate": 0.0003816803245424121, + "loss": 4.8903, + "mean_token_accuracy": 0.19420945197343825, + "num_tokens": 8957830.0, + "step": 4055 + }, + { + "entropy": 5.4529143333435055, + "epoch": 4.092788703983863, + "grad_norm": 1.15625, + "learning_rate": 0.0003813309136871478, + "loss": 4.9542, + "mean_token_accuracy": 0.19547271430492402, + "num_tokens": 8968312.0, + "step": 4060 + }, + { + "entropy": 5.488467979431152, + "epoch": 4.097831568330812, + "grad_norm": 1.125, + "learning_rate": 0.00038098117235295083, + "loss": 4.8996, + "mean_token_accuracy": 0.1928773194551468, + "num_tokens": 8979502.0, + "step": 4065 + }, + { + "entropy": 5.448248672485351, + "epoch": 4.102874432677761, + "grad_norm": 1.078125, + "learning_rate": 0.0003806311016268254, + "loss": 4.9214, + "mean_token_accuracy": 0.18985837399959565, + "num_tokens": 8991934.0, + "step": 4070 + }, + { + "entropy": 5.45822057723999, + "epoch": 4.10791729702471, + "grad_norm": 1.234375, + "learning_rate": 0.0003802807025967995, + "loss": 4.8492, + "mean_token_accuracy": 0.1978401616215706, + "num_tokens": 9001669.0, + "step": 4075 + }, + { + "entropy": 5.462690544128418, + "epoch": 4.112960161371659, + "grad_norm": 1.3671875, + "learning_rate": 0.0003799299763519213, + "loss": 4.9006, + "mean_token_accuracy": 0.19447372406721114, + "num_tokens": 9011904.0, + "step": 4080 + }, + { + "entropy": 5.428786897659302, + "epoch": 4.118003025718608, + "grad_norm": 1.0859375, + "learning_rate": 0.0003795789239822561, + "loss": 4.91, + "mean_token_accuracy": 0.18757592886686325, + "num_tokens": 9023024.0, + "step": 4085 + }, + { + "entropy": 5.474789571762085, + "epoch": 4.1230458900655576, + "grad_norm": 1.109375, + "learning_rate": 0.0003792275465788826, + "loss": 5.0288, + "mean_token_accuracy": 0.18281726986169816, + "num_tokens": 9035721.0, + "step": 4090 + }, + { + "entropy": 5.549254083633423, + "epoch": 4.128088754412507, + "grad_norm": 1.171875, + "learning_rate": 0.00037887584523389013, + "loss": 4.9429, + "mean_token_accuracy": 0.1963011309504509, + "num_tokens": 9046541.0, + "step": 4095 + }, + { + "entropy": 5.51261191368103, + "epoch": 4.133131618759456, + "grad_norm": 1.28125, + "learning_rate": 0.00037852382104037454, + "loss": 4.9209, + "mean_token_accuracy": 0.1832383990287781, + "num_tokens": 9057696.0, + "step": 4100 + }, + { + "entropy": 5.49119758605957, + "epoch": 4.138174483106404, + "grad_norm": 1.34375, + "learning_rate": 0.00037817147509243497, + "loss": 5.0707, + "mean_token_accuracy": 0.18049182891845703, + "num_tokens": 9070737.0, + "step": 4105 + }, + { + "entropy": 5.50582594871521, + "epoch": 4.143217347453353, + "grad_norm": 1.25, + "learning_rate": 0.0003778188084851709, + "loss": 4.935, + "mean_token_accuracy": 0.19351411312818528, + "num_tokens": 9081582.0, + "step": 4110 + }, + { + "entropy": 5.539880180358887, + "epoch": 4.148260211800302, + "grad_norm": 1.1953125, + "learning_rate": 0.00037746582231467816, + "loss": 5.0069, + "mean_token_accuracy": 0.18012915998697282, + "num_tokens": 9092571.0, + "step": 4115 + }, + { + "entropy": 5.47385425567627, + "epoch": 4.153303076147251, + "grad_norm": 1.234375, + "learning_rate": 0.0003771125176780461, + "loss": 4.9757, + "mean_token_accuracy": 0.18279217034578324, + "num_tokens": 9103172.0, + "step": 4120 + }, + { + "entropy": 5.495398378372192, + "epoch": 4.1583459404942005, + "grad_norm": 1.078125, + "learning_rate": 0.00037675889567335345, + "loss": 4.9165, + "mean_token_accuracy": 0.18877640664577483, + "num_tokens": 9114407.0, + "step": 4125 + }, + { + "entropy": 5.4332798480987545, + "epoch": 4.16338880484115, + "grad_norm": 1.015625, + "learning_rate": 0.00037640495739966573, + "loss": 4.871, + "mean_token_accuracy": 0.19287270307540894, + "num_tokens": 9126175.0, + "step": 4130 + }, + { + "entropy": 5.474513959884644, + "epoch": 4.168431669188099, + "grad_norm": 1.09375, + "learning_rate": 0.00037605070395703124, + "loss": 5.0226, + "mean_token_accuracy": 0.18439341336488724, + "num_tokens": 9139046.0, + "step": 4135 + }, + { + "entropy": 5.486795473098755, + "epoch": 4.173474533535048, + "grad_norm": 1.328125, + "learning_rate": 0.00037569613644647783, + "loss": 4.9218, + "mean_token_accuracy": 0.1871136710047722, + "num_tokens": 9150413.0, + "step": 4140 + }, + { + "entropy": 5.5463550090789795, + "epoch": 4.178517397881997, + "grad_norm": 1.109375, + "learning_rate": 0.0003753412559700094, + "loss": 4.9098, + "mean_token_accuracy": 0.1975122556090355, + "num_tokens": 9161831.0, + "step": 4145 + }, + { + "entropy": 5.437201404571534, + "epoch": 4.183560262228946, + "grad_norm": 1.234375, + "learning_rate": 0.00037498606363060285, + "loss": 4.9258, + "mean_token_accuracy": 0.1963041603565216, + "num_tokens": 9172381.0, + "step": 4150 + }, + { + "entropy": 5.364158773422242, + "epoch": 4.188603126575895, + "grad_norm": 1.1953125, + "learning_rate": 0.0003746305605322041, + "loss": 4.8546, + "mean_token_accuracy": 0.19601071029901504, + "num_tokens": 9182212.0, + "step": 4155 + }, + { + "entropy": 5.442264175415039, + "epoch": 4.193645990922844, + "grad_norm": 1.2734375, + "learning_rate": 0.00037427474777972477, + "loss": 4.9478, + "mean_token_accuracy": 0.19168211966753007, + "num_tokens": 9192207.0, + "step": 4160 + }, + { + "entropy": 5.51265287399292, + "epoch": 4.198688855269793, + "grad_norm": 1.140625, + "learning_rate": 0.00037391862647903943, + "loss": 4.9895, + "mean_token_accuracy": 0.18737609982490538, + "num_tokens": 9203693.0, + "step": 4165 + }, + { + "entropy": 5.489502048492431, + "epoch": 4.2037317196167425, + "grad_norm": 1.0859375, + "learning_rate": 0.00037356219773698106, + "loss": 4.93, + "mean_token_accuracy": 0.19232701063156127, + "num_tokens": 9215201.0, + "step": 4170 + }, + { + "entropy": 5.35007643699646, + "epoch": 4.208774583963692, + "grad_norm": 1.28125, + "learning_rate": 0.00037320546266133854, + "loss": 4.8919, + "mean_token_accuracy": 0.18937314301729202, + "num_tokens": 9227705.0, + "step": 4175 + }, + { + "entropy": 5.513562440872192, + "epoch": 4.213817448310641, + "grad_norm": 1.09375, + "learning_rate": 0.0003728484223608526, + "loss": 5.0298, + "mean_token_accuracy": 0.19036928117275237, + "num_tokens": 9238372.0, + "step": 4180 + }, + { + "entropy": 5.479854774475098, + "epoch": 4.21886031265759, + "grad_norm": 1.0859375, + "learning_rate": 0.00037249107794521286, + "loss": 4.9577, + "mean_token_accuracy": 0.18163685202598573, + "num_tokens": 9250303.0, + "step": 4185 + }, + { + "entropy": 5.421753692626953, + "epoch": 4.223903177004539, + "grad_norm": 1.234375, + "learning_rate": 0.00037213343052505394, + "loss": 5.0321, + "mean_token_accuracy": 0.18563628941774368, + "num_tokens": 9261750.0, + "step": 4190 + }, + { + "entropy": 5.509016704559326, + "epoch": 4.228946041351487, + "grad_norm": 1.0234375, + "learning_rate": 0.0003717754812119523, + "loss": 4.9431, + "mean_token_accuracy": 0.19167808294296265, + "num_tokens": 9273808.0, + "step": 4195 + }, + { + "entropy": 5.454015445709229, + "epoch": 4.233988905698436, + "grad_norm": 1.1171875, + "learning_rate": 0.0003714172311184226, + "loss": 4.9408, + "mean_token_accuracy": 0.18980903923511505, + "num_tokens": 9285099.0, + "step": 4200 + }, + { + "entropy": 5.498741102218628, + "epoch": 4.2390317700453854, + "grad_norm": 1.171875, + "learning_rate": 0.0003710586813579144, + "loss": 5.0256, + "mean_token_accuracy": 0.18340314030647278, + "num_tokens": 9295513.0, + "step": 4205 + }, + { + "entropy": 5.5043713569641115, + "epoch": 4.244074634392335, + "grad_norm": 1.2890625, + "learning_rate": 0.00037069983304480875, + "loss": 5.0181, + "mean_token_accuracy": 0.17525929361581802, + "num_tokens": 9307243.0, + "step": 4210 + }, + { + "entropy": 5.41992335319519, + "epoch": 4.249117498739284, + "grad_norm": 1.21875, + "learning_rate": 0.0003703406872944144, + "loss": 4.9652, + "mean_token_accuracy": 0.1928505852818489, + "num_tokens": 9319289.0, + "step": 4215 + }, + { + "entropy": 5.529471921920776, + "epoch": 4.254160363086233, + "grad_norm": 1.1171875, + "learning_rate": 0.0003699812452229645, + "loss": 5.0786, + "mean_token_accuracy": 0.1831396237015724, + "num_tokens": 9332273.0, + "step": 4220 + }, + { + "entropy": 5.502027702331543, + "epoch": 4.259203227433182, + "grad_norm": 1.3046875, + "learning_rate": 0.00036962150794761354, + "loss": 4.9647, + "mean_token_accuracy": 0.18839758336544038, + "num_tokens": 9343703.0, + "step": 4225 + }, + { + "entropy": 5.409524011611938, + "epoch": 4.264246091780131, + "grad_norm": 1.078125, + "learning_rate": 0.0003692614765864331, + "loss": 4.9535, + "mean_token_accuracy": 0.18380556404590606, + "num_tokens": 9355371.0, + "step": 4230 + }, + { + "entropy": 5.415918779373169, + "epoch": 4.26928895612708, + "grad_norm": 1.0703125, + "learning_rate": 0.00036890115225840904, + "loss": 4.9783, + "mean_token_accuracy": 0.18282967656850815, + "num_tokens": 9367337.0, + "step": 4235 + }, + { + "entropy": 5.495303773880005, + "epoch": 4.274331820474029, + "grad_norm": 1.203125, + "learning_rate": 0.0003685405360834376, + "loss": 4.9964, + "mean_token_accuracy": 0.1882554829120636, + "num_tokens": 9378613.0, + "step": 4240 + }, + { + "entropy": 5.522206258773804, + "epoch": 4.279374684820978, + "grad_norm": 1.09375, + "learning_rate": 0.00036817962918232234, + "loss": 4.9605, + "mean_token_accuracy": 0.18544823825359344, + "num_tokens": 9390576.0, + "step": 4245 + }, + { + "entropy": 5.513616561889648, + "epoch": 4.2844175491679275, + "grad_norm": 1.2734375, + "learning_rate": 0.00036781843267677, + "loss": 4.9929, + "mean_token_accuracy": 0.1839417487382889, + "num_tokens": 9401828.0, + "step": 4250 + }, + { + "entropy": 5.4544768810272215, + "epoch": 4.289460413514877, + "grad_norm": 1.1171875, + "learning_rate": 0.0003674569476893878, + "loss": 4.9674, + "mean_token_accuracy": 0.18869195580482484, + "num_tokens": 9414065.0, + "step": 4255 + }, + { + "entropy": 5.501214170455933, + "epoch": 4.294503277861826, + "grad_norm": 1.28125, + "learning_rate": 0.0003670951753436794, + "loss": 4.9991, + "mean_token_accuracy": 0.193516606092453, + "num_tokens": 9425025.0, + "step": 4260 + }, + { + "entropy": 5.451015043258667, + "epoch": 4.299546142208775, + "grad_norm": 1.2265625, + "learning_rate": 0.00036673311676404163, + "loss": 4.9283, + "mean_token_accuracy": 0.1888926148414612, + "num_tokens": 9435562.0, + "step": 4265 + }, + { + "entropy": 5.448048305511475, + "epoch": 4.304589006555724, + "grad_norm": 1.21875, + "learning_rate": 0.0003663707730757608, + "loss": 4.9323, + "mean_token_accuracy": 0.1817737638950348, + "num_tokens": 9445963.0, + "step": 4270 + }, + { + "entropy": 5.42729001045227, + "epoch": 4.309631870902673, + "grad_norm": 1.203125, + "learning_rate": 0.00036600814540500956, + "loss": 4.9144, + "mean_token_accuracy": 0.18806320428848267, + "num_tokens": 9456810.0, + "step": 4275 + }, + { + "entropy": 5.404821681976318, + "epoch": 4.314674735249622, + "grad_norm": 1.359375, + "learning_rate": 0.000365645234878843, + "loss": 4.944, + "mean_token_accuracy": 0.18662286251783372, + "num_tokens": 9466527.0, + "step": 4280 + }, + { + "entropy": 5.460329341888428, + "epoch": 4.31971759959657, + "grad_norm": 1.1796875, + "learning_rate": 0.00036528204262519545, + "loss": 4.9273, + "mean_token_accuracy": 0.19052704572677612, + "num_tokens": 9477770.0, + "step": 4285 + }, + { + "entropy": 5.477109098434449, + "epoch": 4.3247604639435195, + "grad_norm": 1.2109375, + "learning_rate": 0.0003649185697728768, + "loss": 4.9679, + "mean_token_accuracy": 0.1862930953502655, + "num_tokens": 9487723.0, + "step": 4290 + }, + { + "entropy": 5.513242292404175, + "epoch": 4.329803328290469, + "grad_norm": 1.4375, + "learning_rate": 0.00036455481745156906, + "loss": 4.9169, + "mean_token_accuracy": 0.19376833438873292, + "num_tokens": 9497286.0, + "step": 4295 + }, + { + "entropy": 5.3801576614379885, + "epoch": 4.334846192637418, + "grad_norm": 1.078125, + "learning_rate": 0.0003641907867918228, + "loss": 4.8533, + "mean_token_accuracy": 0.1950397878885269, + "num_tokens": 9508535.0, + "step": 4300 + }, + { + "entropy": 5.381755065917969, + "epoch": 4.339889056984367, + "grad_norm": 1.1328125, + "learning_rate": 0.0003638264789250538, + "loss": 4.9355, + "mean_token_accuracy": 0.18968858420848847, + "num_tokens": 9518165.0, + "step": 4305 + }, + { + "entropy": 5.4629909038543705, + "epoch": 4.344931921331316, + "grad_norm": 1.203125, + "learning_rate": 0.00036346189498353914, + "loss": 4.9332, + "mean_token_accuracy": 0.18796923905611038, + "num_tokens": 9528197.0, + "step": 4310 + }, + { + "entropy": 5.469100570678711, + "epoch": 4.349974785678265, + "grad_norm": 1.15625, + "learning_rate": 0.0003630970361004143, + "loss": 4.9514, + "mean_token_accuracy": 0.1987667128443718, + "num_tokens": 9539024.0, + "step": 4315 + }, + { + "entropy": 5.498983573913574, + "epoch": 4.355017650025214, + "grad_norm": 1.2109375, + "learning_rate": 0.0003627319034096691, + "loss": 4.9047, + "mean_token_accuracy": 0.1949477717280388, + "num_tokens": 9548701.0, + "step": 4320 + }, + { + "entropy": 5.3508720874786375, + "epoch": 4.360060514372163, + "grad_norm": 1.375, + "learning_rate": 0.0003623664980461443, + "loss": 4.8769, + "mean_token_accuracy": 0.19532206803560256, + "num_tokens": 9558576.0, + "step": 4325 + }, + { + "entropy": 5.39421124458313, + "epoch": 4.3651033787191125, + "grad_norm": 1.3828125, + "learning_rate": 0.00036200082114552806, + "loss": 4.9565, + "mean_token_accuracy": 0.18533562421798705, + "num_tokens": 9567464.0, + "step": 4330 + }, + { + "entropy": 5.425723648071289, + "epoch": 4.370146243066062, + "grad_norm": 1.3125, + "learning_rate": 0.00036163487384435294, + "loss": 4.8855, + "mean_token_accuracy": 0.19447901099920273, + "num_tokens": 9578011.0, + "step": 4335 + }, + { + "entropy": 5.549548530578614, + "epoch": 4.375189107413011, + "grad_norm": 1.234375, + "learning_rate": 0.0003612686572799914, + "loss": 5.0191, + "mean_token_accuracy": 0.1840487852692604, + "num_tokens": 9589279.0, + "step": 4340 + }, + { + "entropy": 5.472797155380249, + "epoch": 4.38023197175996, + "grad_norm": 1.203125, + "learning_rate": 0.0003609021725906529, + "loss": 4.9258, + "mean_token_accuracy": 0.18987287431955338, + "num_tokens": 9600170.0, + "step": 4345 + }, + { + "entropy": 5.4490509033203125, + "epoch": 4.385274836106909, + "grad_norm": 1.1484375, + "learning_rate": 0.00036053542091538045, + "loss": 4.925, + "mean_token_accuracy": 0.19032368808984756, + "num_tokens": 9611006.0, + "step": 4350 + }, + { + "entropy": 5.473626661300659, + "epoch": 4.390317700453858, + "grad_norm": 1.328125, + "learning_rate": 0.00036016840339404664, + "loss": 5.0008, + "mean_token_accuracy": 0.18587622791528702, + "num_tokens": 9621645.0, + "step": 4355 + }, + { + "entropy": 5.423802852630615, + "epoch": 4.395360564800807, + "grad_norm": 1.078125, + "learning_rate": 0.0003598011211673505, + "loss": 5.016, + "mean_token_accuracy": 0.18200191259384155, + "num_tokens": 9633221.0, + "step": 4360 + }, + { + "entropy": 5.462389421463013, + "epoch": 4.400403429147756, + "grad_norm": 1.28125, + "learning_rate": 0.0003594335753768135, + "loss": 5.0055, + "mean_token_accuracy": 0.1831961914896965, + "num_tokens": 9644616.0, + "step": 4365 + }, + { + "entropy": 5.469020700454712, + "epoch": 4.405446293494705, + "grad_norm": 1.1953125, + "learning_rate": 0.0003590657671647766, + "loss": 4.939, + "mean_token_accuracy": 0.19091181010007857, + "num_tokens": 9656072.0, + "step": 4370 + }, + { + "entropy": 5.4417582035064695, + "epoch": 4.4104891578416545, + "grad_norm": 1.2734375, + "learning_rate": 0.00035869769767439606, + "loss": 4.9764, + "mean_token_accuracy": 0.18057194650173186, + "num_tokens": 9667252.0, + "step": 4375 + }, + { + "entropy": 5.527696800231934, + "epoch": 4.415532022188603, + "grad_norm": 1.1875, + "learning_rate": 0.0003583293680496404, + "loss": 5.0256, + "mean_token_accuracy": 0.18298113197088242, + "num_tokens": 9677810.0, + "step": 4380 + }, + { + "entropy": 5.482815313339233, + "epoch": 4.420574886535552, + "grad_norm": 1.1328125, + "learning_rate": 0.0003579607794352867, + "loss": 4.9634, + "mean_token_accuracy": 0.19282228946685792, + "num_tokens": 9688950.0, + "step": 4385 + }, + { + "entropy": 5.51417818069458, + "epoch": 4.425617750882501, + "grad_norm": 1.265625, + "learning_rate": 0.00035759193297691674, + "loss": 5.0062, + "mean_token_accuracy": 0.1773902341723442, + "num_tokens": 9699961.0, + "step": 4390 + }, + { + "entropy": 5.441384744644165, + "epoch": 4.43066061522945, + "grad_norm": 1.1328125, + "learning_rate": 0.00035722282982091373, + "loss": 4.968, + "mean_token_accuracy": 0.18881333619356155, + "num_tokens": 9711548.0, + "step": 4395 + }, + { + "entropy": 5.4814496517181395, + "epoch": 4.435703479576399, + "grad_norm": 1.390625, + "learning_rate": 0.0003568534711144591, + "loss": 5.0064, + "mean_token_accuracy": 0.19238194972276687, + "num_tokens": 9722237.0, + "step": 4400 + }, + { + "entropy": 5.461666250228882, + "epoch": 4.440746343923348, + "grad_norm": 1.2734375, + "learning_rate": 0.000356483858005528, + "loss": 5.02, + "mean_token_accuracy": 0.18607597798109055, + "num_tokens": 9733654.0, + "step": 4405 + }, + { + "entropy": 5.396451997756958, + "epoch": 4.445789208270297, + "grad_norm": 1.0859375, + "learning_rate": 0.00035611399164288654, + "loss": 4.8687, + "mean_token_accuracy": 0.19753507524728775, + "num_tokens": 9745012.0, + "step": 4410 + }, + { + "entropy": 5.431181240081787, + "epoch": 4.450832072617247, + "grad_norm": 1.1484375, + "learning_rate": 0.0003557438731760879, + "loss": 4.9509, + "mean_token_accuracy": 0.18538981080055236, + "num_tokens": 9755851.0, + "step": 4415 + }, + { + "entropy": 5.40848217010498, + "epoch": 4.455874936964196, + "grad_norm": 1.171875, + "learning_rate": 0.0003553735037554689, + "loss": 4.8793, + "mean_token_accuracy": 0.19078117311000825, + "num_tokens": 9765652.0, + "step": 4420 + }, + { + "entropy": 5.463437080383301, + "epoch": 4.460917801311145, + "grad_norm": 1.15625, + "learning_rate": 0.0003550028845321461, + "loss": 4.9528, + "mean_token_accuracy": 0.18317756056785583, + "num_tokens": 9776618.0, + "step": 4425 + }, + { + "entropy": 5.437930488586426, + "epoch": 4.465960665658094, + "grad_norm": 1.3515625, + "learning_rate": 0.0003546320166580127, + "loss": 4.912, + "mean_token_accuracy": 0.18995112627744676, + "num_tokens": 9786523.0, + "step": 4430 + }, + { + "entropy": 5.503436660766601, + "epoch": 4.471003530005043, + "grad_norm": 1.1640625, + "learning_rate": 0.00035426090128573464, + "loss": 4.9902, + "mean_token_accuracy": 0.18866927772760392, + "num_tokens": 9797013.0, + "step": 4435 + }, + { + "entropy": 5.505742359161377, + "epoch": 4.476046394351992, + "grad_norm": 1.109375, + "learning_rate": 0.00035388953956874686, + "loss": 4.978, + "mean_token_accuracy": 0.1855326250195503, + "num_tokens": 9807431.0, + "step": 4440 + }, + { + "entropy": 5.459383773803711, + "epoch": 4.481089258698941, + "grad_norm": 1.328125, + "learning_rate": 0.0003535179326612504, + "loss": 5.0067, + "mean_token_accuracy": 0.18672738820314408, + "num_tokens": 9817560.0, + "step": 4445 + }, + { + "entropy": 5.431673955917359, + "epoch": 4.48613212304589, + "grad_norm": 1.0703125, + "learning_rate": 0.00035314608171820787, + "loss": 4.9291, + "mean_token_accuracy": 0.18797255009412767, + "num_tokens": 9828233.0, + "step": 4450 + }, + { + "entropy": 5.450408601760865, + "epoch": 4.4911749873928395, + "grad_norm": 1.3046875, + "learning_rate": 0.00035277398789534075, + "loss": 4.9298, + "mean_token_accuracy": 0.19417595118284225, + "num_tokens": 9838699.0, + "step": 4455 + }, + { + "entropy": 5.42654972076416, + "epoch": 4.496217851739789, + "grad_norm": 1.203125, + "learning_rate": 0.0003524016523491252, + "loss": 4.9502, + "mean_token_accuracy": 0.1807286635041237, + "num_tokens": 9849635.0, + "step": 4460 + }, + { + "entropy": 5.424818992614746, + "epoch": 4.501260716086737, + "grad_norm": 1.1015625, + "learning_rate": 0.00035202907623678865, + "loss": 4.9072, + "mean_token_accuracy": 0.18710703998804093, + "num_tokens": 9861822.0, + "step": 4465 + }, + { + "entropy": 5.43951678276062, + "epoch": 4.506303580433686, + "grad_norm": 1.171875, + "learning_rate": 0.0003516562607163062, + "loss": 4.9867, + "mean_token_accuracy": 0.18685145676136017, + "num_tokens": 9872341.0, + "step": 4470 + }, + { + "entropy": 5.522892475128174, + "epoch": 4.511346444780635, + "grad_norm": 1.2265625, + "learning_rate": 0.0003512832069463971, + "loss": 5.009, + "mean_token_accuracy": 0.18200730085372924, + "num_tokens": 9883078.0, + "step": 4475 + }, + { + "entropy": 5.457088470458984, + "epoch": 4.516389309127584, + "grad_norm": 1.109375, + "learning_rate": 0.00035090991608652125, + "loss": 5.0672, + "mean_token_accuracy": 0.18591289818286896, + "num_tokens": 9894688.0, + "step": 4480 + }, + { + "entropy": 5.392157983779907, + "epoch": 4.521432173474533, + "grad_norm": 1.2890625, + "learning_rate": 0.00035053638929687504, + "loss": 4.8778, + "mean_token_accuracy": 0.18869801312685014, + "num_tokens": 9904409.0, + "step": 4485 + }, + { + "entropy": 5.485831022262573, + "epoch": 4.526475037821482, + "grad_norm": 1.140625, + "learning_rate": 0.0003501626277383884, + "loss": 5.0515, + "mean_token_accuracy": 0.1752968832850456, + "num_tokens": 9915204.0, + "step": 4490 + }, + { + "entropy": 5.5224214553833, + "epoch": 4.5315179021684315, + "grad_norm": 1.2734375, + "learning_rate": 0.000349788632572721, + "loss": 4.9806, + "mean_token_accuracy": 0.18406761437654495, + "num_tokens": 9927354.0, + "step": 4495 + }, + { + "entropy": 5.412999963760376, + "epoch": 4.536560766515381, + "grad_norm": 1.296875, + "learning_rate": 0.0003494144049622582, + "loss": 4.902, + "mean_token_accuracy": 0.1886482670903206, + "num_tokens": 9939009.0, + "step": 4500 + }, + { + "entropy": 5.391222190856934, + "epoch": 4.54160363086233, + "grad_norm": 1.2421875, + "learning_rate": 0.0003490399460701083, + "loss": 5.0147, + "mean_token_accuracy": 0.18851865231990814, + "num_tokens": 9950332.0, + "step": 4505 + }, + { + "entropy": 5.448312902450562, + "epoch": 4.546646495209279, + "grad_norm": 1.1484375, + "learning_rate": 0.000348665257060098, + "loss": 4.922, + "mean_token_accuracy": 0.1947105810046196, + "num_tokens": 9961206.0, + "step": 4510 + }, + { + "entropy": 5.484153413772583, + "epoch": 4.551689359556228, + "grad_norm": 1.2109375, + "learning_rate": 0.0003482903390967695, + "loss": 4.917, + "mean_token_accuracy": 0.19644837379455565, + "num_tokens": 9972272.0, + "step": 4515 + }, + { + "entropy": 5.377922439575196, + "epoch": 4.556732223903177, + "grad_norm": 1.375, + "learning_rate": 0.00034791519334537635, + "loss": 4.9262, + "mean_token_accuracy": 0.19269737154245375, + "num_tokens": 9982189.0, + "step": 4520 + }, + { + "entropy": 5.377587604522705, + "epoch": 4.561775088250126, + "grad_norm": 1.1953125, + "learning_rate": 0.0003475398209718804, + "loss": 4.8724, + "mean_token_accuracy": 0.1955879732966423, + "num_tokens": 9993122.0, + "step": 4525 + }, + { + "entropy": 5.44607400894165, + "epoch": 4.566817952597075, + "grad_norm": 1.140625, + "learning_rate": 0.0003471642231429475, + "loss": 4.8815, + "mean_token_accuracy": 0.19085957556962968, + "num_tokens": 10004043.0, + "step": 4530 + }, + { + "entropy": 5.408733749389649, + "epoch": 4.5718608169440245, + "grad_norm": 1.21875, + "learning_rate": 0.0003467884010259443, + "loss": 4.8907, + "mean_token_accuracy": 0.19512842446565629, + "num_tokens": 10014042.0, + "step": 4535 + }, + { + "entropy": 5.363145399093628, + "epoch": 4.576903681290974, + "grad_norm": 1.1171875, + "learning_rate": 0.00034641235578893476, + "loss": 4.8653, + "mean_token_accuracy": 0.1962948814034462, + "num_tokens": 10025742.0, + "step": 4540 + }, + { + "entropy": 5.402016878128052, + "epoch": 4.581946545637923, + "grad_norm": 1.2421875, + "learning_rate": 0.0003460360886006761, + "loss": 4.9674, + "mean_token_accuracy": 0.18587110042572022, + "num_tokens": 10036727.0, + "step": 4545 + }, + { + "entropy": 5.4374651432037355, + "epoch": 4.586989409984872, + "grad_norm": 1.1953125, + "learning_rate": 0.00034565960063061534, + "loss": 4.9226, + "mean_token_accuracy": 0.18302160054445266, + "num_tokens": 10047246.0, + "step": 4550 + }, + { + "entropy": 5.398792886734009, + "epoch": 4.592032274331821, + "grad_norm": 1.1015625, + "learning_rate": 0.0003452828930488859, + "loss": 4.9253, + "mean_token_accuracy": 0.1938019722700119, + "num_tokens": 10059750.0, + "step": 4555 + }, + { + "entropy": 5.455434322357178, + "epoch": 4.597075138678769, + "grad_norm": 1.0625, + "learning_rate": 0.00034490596702630355, + "loss": 4.9739, + "mean_token_accuracy": 0.1875145599246025, + "num_tokens": 10071431.0, + "step": 4560 + }, + { + "entropy": 5.463915681838989, + "epoch": 4.602118003025718, + "grad_norm": 1.2578125, + "learning_rate": 0.0003445288237343632, + "loss": 4.9644, + "mean_token_accuracy": 0.18932064026594161, + "num_tokens": 10081567.0, + "step": 4565 + }, + { + "entropy": 5.497029161453247, + "epoch": 4.607160867372667, + "grad_norm": 1.1484375, + "learning_rate": 0.00034415146434523463, + "loss": 5.0002, + "mean_token_accuracy": 0.18606244027614594, + "num_tokens": 10092506.0, + "step": 4570 + }, + { + "entropy": 5.480929279327393, + "epoch": 4.6122037317196165, + "grad_norm": 1.296875, + "learning_rate": 0.00034377389003175984, + "loss": 4.9801, + "mean_token_accuracy": 0.1865699604153633, + "num_tokens": 10103896.0, + "step": 4575 + }, + { + "entropy": 5.372171783447266, + "epoch": 4.617246596066566, + "grad_norm": 1.421875, + "learning_rate": 0.0003433961019674483, + "loss": 4.9572, + "mean_token_accuracy": 0.1918066293001175, + "num_tokens": 10113646.0, + "step": 4580 + }, + { + "entropy": 5.419704341888428, + "epoch": 4.622289460413515, + "grad_norm": 1.109375, + "learning_rate": 0.0003430181013264741, + "loss": 5.0208, + "mean_token_accuracy": 0.1797514334321022, + "num_tokens": 10125097.0, + "step": 4585 + }, + { + "entropy": 5.5000776767730715, + "epoch": 4.627332324760464, + "grad_norm": 1.296875, + "learning_rate": 0.0003426398892836719, + "loss": 4.9718, + "mean_token_accuracy": 0.18807972222566605, + "num_tokens": 10137396.0, + "step": 4590 + }, + { + "entropy": 5.483876419067383, + "epoch": 4.632375189107413, + "grad_norm": 1.171875, + "learning_rate": 0.0003422614670145336, + "loss": 5.0777, + "mean_token_accuracy": 0.18274005502462387, + "num_tokens": 10147483.0, + "step": 4595 + }, + { + "entropy": 5.432821559906006, + "epoch": 4.637418053454362, + "grad_norm": 1.1796875, + "learning_rate": 0.0003418828356952041, + "loss": 4.951, + "mean_token_accuracy": 0.18625150471925736, + "num_tokens": 10159693.0, + "step": 4600 + }, + { + "entropy": 5.431114387512207, + "epoch": 4.642460917801311, + "grad_norm": 1.2109375, + "learning_rate": 0.00034150399650247846, + "loss": 4.84, + "mean_token_accuracy": 0.19102736562490463, + "num_tokens": 10170371.0, + "step": 4605 + }, + { + "entropy": 5.411733675003052, + "epoch": 4.64750378214826, + "grad_norm": 1.2578125, + "learning_rate": 0.00034112495061379764, + "loss": 4.9494, + "mean_token_accuracy": 0.19134079068899154, + "num_tokens": 10181487.0, + "step": 4610 + }, + { + "entropy": 5.41342191696167, + "epoch": 4.652546646495209, + "grad_norm": 1.25, + "learning_rate": 0.00034074569920724483, + "loss": 4.9766, + "mean_token_accuracy": 0.18301253765821457, + "num_tokens": 10193386.0, + "step": 4615 + }, + { + "entropy": 5.498093175888061, + "epoch": 4.6575895108421586, + "grad_norm": 1.1328125, + "learning_rate": 0.0003403662434615423, + "loss": 5.0328, + "mean_token_accuracy": 0.18311253786087037, + "num_tokens": 10205531.0, + "step": 4620 + }, + { + "entropy": 5.456884098052979, + "epoch": 4.662632375189108, + "grad_norm": 1.0703125, + "learning_rate": 0.00033998658455604736, + "loss": 4.9797, + "mean_token_accuracy": 0.18898638486862182, + "num_tokens": 10216586.0, + "step": 4625 + }, + { + "entropy": 5.431148862838745, + "epoch": 4.667675239536057, + "grad_norm": 1.171875, + "learning_rate": 0.00033960672367074827, + "loss": 4.8987, + "mean_token_accuracy": 0.19037448465824128, + "num_tokens": 10227330.0, + "step": 4630 + }, + { + "entropy": 5.440126276016235, + "epoch": 4.672718103883006, + "grad_norm": 1.140625, + "learning_rate": 0.0003392266619862619, + "loss": 5.0402, + "mean_token_accuracy": 0.17827739417552949, + "num_tokens": 10238295.0, + "step": 4635 + }, + { + "entropy": 5.449625444412232, + "epoch": 4.677760968229954, + "grad_norm": 1.2109375, + "learning_rate": 0.0003388464006838284, + "loss": 4.9925, + "mean_token_accuracy": 0.19437420070171357, + "num_tokens": 10249011.0, + "step": 4640 + }, + { + "entropy": 5.503025913238526, + "epoch": 4.682803832576903, + "grad_norm": 1.2265625, + "learning_rate": 0.00033846594094530874, + "loss": 4.9525, + "mean_token_accuracy": 0.18661330491304398, + "num_tokens": 10260986.0, + "step": 4645 + }, + { + "entropy": 5.403000020980835, + "epoch": 4.687846696923852, + "grad_norm": 1.109375, + "learning_rate": 0.0003380852839531806, + "loss": 4.9642, + "mean_token_accuracy": 0.18330392688512803, + "num_tokens": 10271557.0, + "step": 4650 + }, + { + "entropy": 5.465458154678345, + "epoch": 4.6928895612708015, + "grad_norm": 1.265625, + "learning_rate": 0.00033770443089053476, + "loss": 4.9798, + "mean_token_accuracy": 0.18609561026096344, + "num_tokens": 10281458.0, + "step": 4655 + }, + { + "entropy": 5.459237432479858, + "epoch": 4.697932425617751, + "grad_norm": 1.078125, + "learning_rate": 0.00033732338294107116, + "loss": 4.9671, + "mean_token_accuracy": 0.1871896654367447, + "num_tokens": 10293336.0, + "step": 4660 + }, + { + "entropy": 5.432980871200561, + "epoch": 4.7029752899647, + "grad_norm": 1.2734375, + "learning_rate": 0.00033694214128909567, + "loss": 4.9673, + "mean_token_accuracy": 0.18993277698755265, + "num_tokens": 10303633.0, + "step": 4665 + }, + { + "entropy": 5.44464521408081, + "epoch": 4.708018154311649, + "grad_norm": 1.2578125, + "learning_rate": 0.00033656070711951633, + "loss": 4.9845, + "mean_token_accuracy": 0.18049918115139008, + "num_tokens": 10314776.0, + "step": 4670 + }, + { + "entropy": 5.4221460819244385, + "epoch": 4.713061018658598, + "grad_norm": 1.09375, + "learning_rate": 0.0003361790816178391, + "loss": 4.9222, + "mean_token_accuracy": 0.19435497671365737, + "num_tokens": 10325792.0, + "step": 4675 + }, + { + "entropy": 5.3949438571929935, + "epoch": 4.718103883005547, + "grad_norm": 1.21875, + "learning_rate": 0.0003357972659701649, + "loss": 5.0, + "mean_token_accuracy": 0.18047935217618943, + "num_tokens": 10339024.0, + "step": 4680 + }, + { + "entropy": 5.466359615325928, + "epoch": 4.723146747352496, + "grad_norm": 1.2421875, + "learning_rate": 0.00033541526136318564, + "loss": 4.9542, + "mean_token_accuracy": 0.18820637315511704, + "num_tokens": 10349198.0, + "step": 4685 + }, + { + "entropy": 5.476608657836914, + "epoch": 4.728189611699445, + "grad_norm": 1.1328125, + "learning_rate": 0.0003350330689841804, + "loss": 5.047, + "mean_token_accuracy": 0.17754877507686614, + "num_tokens": 10360925.0, + "step": 4690 + }, + { + "entropy": 5.471492719650269, + "epoch": 4.733232476046394, + "grad_norm": 1.25, + "learning_rate": 0.0003346506900210118, + "loss": 4.9786, + "mean_token_accuracy": 0.1891571193933487, + "num_tokens": 10372074.0, + "step": 4695 + }, + { + "entropy": 5.40898289680481, + "epoch": 4.7382753403933435, + "grad_norm": 1.2578125, + "learning_rate": 0.0003342681256621227, + "loss": 4.8793, + "mean_token_accuracy": 0.19103499352931977, + "num_tokens": 10384050.0, + "step": 4700 + }, + { + "entropy": 5.43700852394104, + "epoch": 4.743318204740293, + "grad_norm": 1.203125, + "learning_rate": 0.0003338853770965319, + "loss": 4.9256, + "mean_token_accuracy": 0.18500882834196092, + "num_tokens": 10394466.0, + "step": 4705 + }, + { + "entropy": 5.408495807647705, + "epoch": 4.748361069087242, + "grad_norm": 1.1953125, + "learning_rate": 0.00033350244551383064, + "loss": 4.9981, + "mean_token_accuracy": 0.18811080902814864, + "num_tokens": 10405279.0, + "step": 4710 + }, + { + "entropy": 5.397424650192261, + "epoch": 4.753403933434191, + "grad_norm": 1.1796875, + "learning_rate": 0.0003331193321041793, + "loss": 4.9563, + "mean_token_accuracy": 0.1881820723414421, + "num_tokens": 10417504.0, + "step": 4715 + }, + { + "entropy": 5.425117683410645, + "epoch": 4.75844679778114, + "grad_norm": 1.1015625, + "learning_rate": 0.00033273603805830296, + "loss": 4.9777, + "mean_token_accuracy": 0.18997900187969208, + "num_tokens": 10428824.0, + "step": 4720 + }, + { + "entropy": 5.47361912727356, + "epoch": 4.763489662128089, + "grad_norm": 1.140625, + "learning_rate": 0.00033235256456748847, + "loss": 5.0229, + "mean_token_accuracy": 0.1850911021232605, + "num_tokens": 10440164.0, + "step": 4725 + }, + { + "entropy": 5.507453775405883, + "epoch": 4.768532526475038, + "grad_norm": 1.2578125, + "learning_rate": 0.0003319689128235804, + "loss": 4.9309, + "mean_token_accuracy": 0.19020796716213226, + "num_tokens": 10450216.0, + "step": 4730 + }, + { + "entropy": 5.436894702911377, + "epoch": 4.773575390821987, + "grad_norm": 1.390625, + "learning_rate": 0.00033158508401897707, + "loss": 4.9579, + "mean_token_accuracy": 0.19510447680950166, + "num_tokens": 10461521.0, + "step": 4735 + }, + { + "entropy": 5.441084003448486, + "epoch": 4.778618255168936, + "grad_norm": 1.140625, + "learning_rate": 0.0003312010793466273, + "loss": 5.0663, + "mean_token_accuracy": 0.17662031203508377, + "num_tokens": 10473052.0, + "step": 4740 + }, + { + "entropy": 5.386702537536621, + "epoch": 4.783661119515885, + "grad_norm": 1.2734375, + "learning_rate": 0.0003308169000000265, + "loss": 4.9103, + "mean_token_accuracy": 0.19201598614454268, + "num_tokens": 10483197.0, + "step": 4745 + }, + { + "entropy": 5.4234694480896, + "epoch": 4.788703983862834, + "grad_norm": 1.203125, + "learning_rate": 0.0003304325471732129, + "loss": 4.9217, + "mean_token_accuracy": 0.18737069070339202, + "num_tokens": 10493877.0, + "step": 4750 + }, + { + "entropy": 5.445645141601562, + "epoch": 4.793746848209783, + "grad_norm": 1.09375, + "learning_rate": 0.00033004802206076396, + "loss": 4.9896, + "mean_token_accuracy": 0.1867102414369583, + "num_tokens": 10505457.0, + "step": 4755 + }, + { + "entropy": 5.451334476470947, + "epoch": 4.798789712556732, + "grad_norm": 1.25, + "learning_rate": 0.00032966332585779263, + "loss": 5.0065, + "mean_token_accuracy": 0.18804700821638107, + "num_tokens": 10516746.0, + "step": 4760 + }, + { + "entropy": 5.501697826385498, + "epoch": 4.803832576903681, + "grad_norm": 1.265625, + "learning_rate": 0.00032927845975994356, + "loss": 4.987, + "mean_token_accuracy": 0.18748954087495803, + "num_tokens": 10527879.0, + "step": 4765 + }, + { + "entropy": 5.478173398971558, + "epoch": 4.80887544125063, + "grad_norm": 1.25, + "learning_rate": 0.00032889342496338953, + "loss": 5.043, + "mean_token_accuracy": 0.18037958443164825, + "num_tokens": 10539729.0, + "step": 4770 + }, + { + "entropy": 5.456065368652344, + "epoch": 4.813918305597579, + "grad_norm": 1.1484375, + "learning_rate": 0.0003285082226648273, + "loss": 5.061, + "mean_token_accuracy": 0.18717390894889832, + "num_tokens": 10551343.0, + "step": 4775 + }, + { + "entropy": 5.458584022521973, + "epoch": 4.8189611699445285, + "grad_norm": 1.1875, + "learning_rate": 0.0003281228540614749, + "loss": 4.9506, + "mean_token_accuracy": 0.19011957943439484, + "num_tokens": 10562362.0, + "step": 4780 + }, + { + "entropy": 5.431289768218994, + "epoch": 4.824004034291478, + "grad_norm": 1.1171875, + "learning_rate": 0.00032773732035106657, + "loss": 4.9544, + "mean_token_accuracy": 0.18818462193012236, + "num_tokens": 10574203.0, + "step": 4785 + }, + { + "entropy": 5.452210330963135, + "epoch": 4.829046898638427, + "grad_norm": 1.1796875, + "learning_rate": 0.00032735162273185006, + "loss": 4.9991, + "mean_token_accuracy": 0.17896709591150284, + "num_tokens": 10585732.0, + "step": 4790 + }, + { + "entropy": 5.494658279418945, + "epoch": 4.834089762985376, + "grad_norm": 1.1953125, + "learning_rate": 0.0003269657624025824, + "loss": 5.0101, + "mean_token_accuracy": 0.19213832318782806, + "num_tokens": 10596414.0, + "step": 4795 + }, + { + "entropy": 5.473741817474365, + "epoch": 4.839132627332325, + "grad_norm": 1.03125, + "learning_rate": 0.0003265797405625265, + "loss": 4.947, + "mean_token_accuracy": 0.189757277071476, + "num_tokens": 10608893.0, + "step": 4800 + }, + { + "entropy": 5.353061628341675, + "epoch": 4.844175491679274, + "grad_norm": 1.2421875, + "learning_rate": 0.0003261935584114471, + "loss": 4.869, + "mean_token_accuracy": 0.19499963223934175, + "num_tokens": 10619229.0, + "step": 4805 + }, + { + "entropy": 5.358573865890503, + "epoch": 4.849218356026223, + "grad_norm": 1.0703125, + "learning_rate": 0.0003258072171496072, + "loss": 4.9867, + "mean_token_accuracy": 0.18436321318149568, + "num_tokens": 10630811.0, + "step": 4810 + }, + { + "entropy": 5.45855302810669, + "epoch": 4.854261220373172, + "grad_norm": 1.3203125, + "learning_rate": 0.0003254207179777644, + "loss": 4.9808, + "mean_token_accuracy": 0.19197733849287033, + "num_tokens": 10641191.0, + "step": 4815 + }, + { + "entropy": 5.453788089752197, + "epoch": 4.8593040847201205, + "grad_norm": 1.265625, + "learning_rate": 0.000325034062097167, + "loss": 5.0329, + "mean_token_accuracy": 0.18242633044719697, + "num_tokens": 10652019.0, + "step": 4820 + }, + { + "entropy": 5.456726026535034, + "epoch": 4.86434694906707, + "grad_norm": 1.140625, + "learning_rate": 0.00032464725070955046, + "loss": 5.0328, + "mean_token_accuracy": 0.18062737584114075, + "num_tokens": 10664820.0, + "step": 4825 + }, + { + "entropy": 5.48663558959961, + "epoch": 4.869389813414019, + "grad_norm": 1.296875, + "learning_rate": 0.00032426028501713347, + "loss": 4.9731, + "mean_token_accuracy": 0.18408883810043336, + "num_tokens": 10676343.0, + "step": 4830 + }, + { + "entropy": 5.445742988586426, + "epoch": 4.874432677760968, + "grad_norm": 1.25, + "learning_rate": 0.00032387316622261425, + "loss": 5.0056, + "mean_token_accuracy": 0.18338582515716553, + "num_tokens": 10687464.0, + "step": 4835 + }, + { + "entropy": 5.407337713241577, + "epoch": 4.879475542107917, + "grad_norm": 1.1328125, + "learning_rate": 0.00032348589552916703, + "loss": 4.9456, + "mean_token_accuracy": 0.18678104132413864, + "num_tokens": 10698796.0, + "step": 4840 + }, + { + "entropy": 5.440946578979492, + "epoch": 4.884518406454866, + "grad_norm": 1.21875, + "learning_rate": 0.0003230984741404381, + "loss": 4.9428, + "mean_token_accuracy": 0.18648777455091475, + "num_tokens": 10708759.0, + "step": 4845 + }, + { + "entropy": 5.520267152786255, + "epoch": 4.889561270801815, + "grad_norm": 1.3671875, + "learning_rate": 0.0003227109032605419, + "loss": 4.9954, + "mean_token_accuracy": 0.18635909855365754, + "num_tokens": 10718518.0, + "step": 4850 + }, + { + "entropy": 5.474165201187134, + "epoch": 4.894604135148764, + "grad_norm": 1.171875, + "learning_rate": 0.0003223231840940578, + "loss": 5.0391, + "mean_token_accuracy": 0.18102305382490158, + "num_tokens": 10730091.0, + "step": 4855 + }, + { + "entropy": 5.400430488586426, + "epoch": 4.8996469994957135, + "grad_norm": 1.2578125, + "learning_rate": 0.00032193531784602595, + "loss": 4.9725, + "mean_token_accuracy": 0.18741223067045212, + "num_tokens": 10739664.0, + "step": 4860 + }, + { + "entropy": 5.423764419555664, + "epoch": 4.904689863842663, + "grad_norm": 1.3359375, + "learning_rate": 0.00032154730572194346, + "loss": 4.9291, + "mean_token_accuracy": 0.19145375043153762, + "num_tokens": 10749573.0, + "step": 4865 + }, + { + "entropy": 5.503514146804809, + "epoch": 4.909732728189612, + "grad_norm": 1.2734375, + "learning_rate": 0.000321159148927761, + "loss": 5.0556, + "mean_token_accuracy": 0.18899090141057967, + "num_tokens": 10760455.0, + "step": 4870 + }, + { + "entropy": 5.5097449779510494, + "epoch": 4.914775592536561, + "grad_norm": 1.3125, + "learning_rate": 0.000320770848669879, + "loss": 5.0187, + "mean_token_accuracy": 0.18463164716959, + "num_tokens": 10771845.0, + "step": 4875 + }, + { + "entropy": 5.438835954666137, + "epoch": 4.91981845688351, + "grad_norm": 1.171875, + "learning_rate": 0.00032038240615514345, + "loss": 4.9946, + "mean_token_accuracy": 0.18855448365211486, + "num_tokens": 10783812.0, + "step": 4880 + }, + { + "entropy": 5.403696203231812, + "epoch": 4.924861321230459, + "grad_norm": 1.3125, + "learning_rate": 0.0003199938225908426, + "loss": 4.9135, + "mean_token_accuracy": 0.18758562356233596, + "num_tokens": 10794390.0, + "step": 4885 + }, + { + "entropy": 5.430738544464111, + "epoch": 4.929904185577408, + "grad_norm": 1.140625, + "learning_rate": 0.0003196050991847033, + "loss": 4.9578, + "mean_token_accuracy": 0.18548450171947478, + "num_tokens": 10805521.0, + "step": 4890 + }, + { + "entropy": 5.4192510604858395, + "epoch": 4.934947049924357, + "grad_norm": 1.15625, + "learning_rate": 0.0003192162371448868, + "loss": 4.9664, + "mean_token_accuracy": 0.1857212409377098, + "num_tokens": 10816265.0, + "step": 4895 + }, + { + "entropy": 5.4131299495697025, + "epoch": 4.939989914271306, + "grad_norm": 1.28125, + "learning_rate": 0.00031882723767998517, + "loss": 4.9921, + "mean_token_accuracy": 0.18737585991621017, + "num_tokens": 10826285.0, + "step": 4900 + }, + { + "entropy": 5.41847596168518, + "epoch": 4.9450327786182555, + "grad_norm": 1.2578125, + "learning_rate": 0.00031843810199901795, + "loss": 4.9347, + "mean_token_accuracy": 0.19147606939077377, + "num_tokens": 10836817.0, + "step": 4905 + }, + { + "entropy": 5.45005612373352, + "epoch": 4.950075642965205, + "grad_norm": 1.171875, + "learning_rate": 0.0003180488313114277, + "loss": 4.9638, + "mean_token_accuracy": 0.18842111229896547, + "num_tokens": 10848186.0, + "step": 4910 + }, + { + "entropy": 5.374664354324341, + "epoch": 4.955118507312154, + "grad_norm": 1.234375, + "learning_rate": 0.0003176594268270766, + "loss": 4.9524, + "mean_token_accuracy": 0.19444430619478226, + "num_tokens": 10858851.0, + "step": 4915 + }, + { + "entropy": 5.424822568893433, + "epoch": 4.960161371659103, + "grad_norm": 1.1171875, + "learning_rate": 0.00031726988975624293, + "loss": 4.9957, + "mean_token_accuracy": 0.18679312616586685, + "num_tokens": 10870242.0, + "step": 4920 + }, + { + "entropy": 5.4419248580932615, + "epoch": 4.965204236006051, + "grad_norm": 1.2734375, + "learning_rate": 0.00031688022130961675, + "loss": 4.9299, + "mean_token_accuracy": 0.18993133008480073, + "num_tokens": 10881580.0, + "step": 4925 + }, + { + "entropy": 5.439469051361084, + "epoch": 4.970247100353, + "grad_norm": 1.1484375, + "learning_rate": 0.0003164904226982967, + "loss": 4.9934, + "mean_token_accuracy": 0.19487899541854858, + "num_tokens": 10893140.0, + "step": 4930 + }, + { + "entropy": 5.448909187316895, + "epoch": 4.975289964699949, + "grad_norm": 1.1328125, + "learning_rate": 0.00031610049513378574, + "loss": 4.9945, + "mean_token_accuracy": 0.1908086955547333, + "num_tokens": 10904373.0, + "step": 4935 + }, + { + "entropy": 5.507550525665283, + "epoch": 4.9803328290468984, + "grad_norm": 1.328125, + "learning_rate": 0.00031571043982798786, + "loss": 5.0025, + "mean_token_accuracy": 0.18820565193891525, + "num_tokens": 10914155.0, + "step": 4940 + }, + { + "entropy": 5.516139650344849, + "epoch": 4.985375693393848, + "grad_norm": 1.1796875, + "learning_rate": 0.0003153202579932039, + "loss": 5.009, + "mean_token_accuracy": 0.1866231933236122, + "num_tokens": 10926325.0, + "step": 4945 + }, + { + "entropy": 5.493792581558227, + "epoch": 4.990418557740797, + "grad_norm": 1.15625, + "learning_rate": 0.00031492995084212794, + "loss": 5.0369, + "mean_token_accuracy": 0.18808876425027848, + "num_tokens": 10938799.0, + "step": 4950 + }, + { + "entropy": 5.443079853057862, + "epoch": 4.995461422087746, + "grad_norm": 1.1796875, + "learning_rate": 0.0003145395195878437, + "loss": 4.8587, + "mean_token_accuracy": 0.19427645206451416, + "num_tokens": 10949918.0, + "step": 4955 + }, + { + "entropy": 5.373980893029107, + "epoch": 5.0, + "grad_norm": 2.296875, + "learning_rate": 0.00031414896544382047, + "loss": 4.8479, + "mean_token_accuracy": 0.1932825760708915, + "num_tokens": 10958200.0, + "step": 4960 + }, + { + "entropy": 5.377087545394898, + "epoch": 5.005042864346949, + "grad_norm": 1.1796875, + "learning_rate": 0.0003137582896239095, + "loss": 4.7798, + "mean_token_accuracy": 0.19978601783514022, + "num_tokens": 10969020.0, + "step": 4965 + }, + { + "entropy": 5.3690825462341305, + "epoch": 5.010085728693898, + "grad_norm": 1.1796875, + "learning_rate": 0.0003133674933423404, + "loss": 4.6958, + "mean_token_accuracy": 0.21049367189407348, + "num_tokens": 10978191.0, + "step": 4970 + }, + { + "entropy": 5.39783124923706, + "epoch": 5.015128593040847, + "grad_norm": 1.1171875, + "learning_rate": 0.00031297657781371687, + "loss": 4.769, + "mean_token_accuracy": 0.20987659692764282, + "num_tokens": 10989022.0, + "step": 4975 + }, + { + "entropy": 5.46621470451355, + "epoch": 5.0201714573877965, + "grad_norm": 1.25, + "learning_rate": 0.0003125855442530135, + "loss": 4.8209, + "mean_token_accuracy": 0.20026374459266663, + "num_tokens": 11002727.0, + "step": 4980 + }, + { + "entropy": 5.405496120452881, + "epoch": 5.025214321734746, + "grad_norm": 1.078125, + "learning_rate": 0.00031219439387557155, + "loss": 4.762, + "mean_token_accuracy": 0.2060738682746887, + "num_tokens": 11013723.0, + "step": 4985 + }, + { + "entropy": 5.470185852050781, + "epoch": 5.030257186081695, + "grad_norm": 1.1640625, + "learning_rate": 0.00031180312789709535, + "loss": 4.7332, + "mean_token_accuracy": 0.20676991194486619, + "num_tokens": 11024676.0, + "step": 4990 + }, + { + "entropy": 5.4253129959106445, + "epoch": 5.035300050428644, + "grad_norm": 1.2265625, + "learning_rate": 0.0003114117475336487, + "loss": 4.7794, + "mean_token_accuracy": 0.2019949272274971, + "num_tokens": 11036314.0, + "step": 4995 + }, + { + "entropy": 5.399463033676147, + "epoch": 5.040342914775593, + "grad_norm": 1.3046875, + "learning_rate": 0.0003110202540016509, + "loss": 4.7499, + "mean_token_accuracy": 0.2073090746998787, + "num_tokens": 11046321.0, + "step": 5000 + }, + { + "epoch": 5.040342914775593, + "eval_entropy": 5.259037116708343, + "eval_loss": 5.665579795837402, + "eval_mean_token_accuracy": 0.1547874487538374, + "eval_num_tokens": 11046321.0, + "eval_runtime": 2.0489, + "eval_samples_per_second": 1531.555, + "eval_steps_per_second": 191.81, + "step": 5000 + }, + { + "entropy": 5.422780227661133, + "epoch": 5.045385779122542, + "grad_norm": 1.0546875, + "learning_rate": 0.00031062864851787267, + "loss": 4.7483, + "mean_token_accuracy": 0.20660395473241805, + "num_tokens": 11059021.0, + "step": 5005 + }, + { + "entropy": 5.413686323165893, + "epoch": 5.05042864346949, + "grad_norm": 1.390625, + "learning_rate": 0.00031023693229943294, + "loss": 4.7311, + "mean_token_accuracy": 0.20787329226732254, + "num_tokens": 11069785.0, + "step": 5010 + }, + { + "entropy": 5.442879867553711, + "epoch": 5.055471507816439, + "grad_norm": 1.328125, + "learning_rate": 0.0003098451065637948, + "loss": 4.789, + "mean_token_accuracy": 0.20268239378929137, + "num_tokens": 11079439.0, + "step": 5015 + }, + { + "entropy": 5.377065849304199, + "epoch": 5.0605143721633885, + "grad_norm": 1.2265625, + "learning_rate": 0.00030945317252876163, + "loss": 4.7887, + "mean_token_accuracy": 0.20264918059110643, + "num_tokens": 11089933.0, + "step": 5020 + }, + { + "entropy": 5.395506191253662, + "epoch": 5.065557236510338, + "grad_norm": 1.21875, + "learning_rate": 0.00030906113141247353, + "loss": 4.7127, + "mean_token_accuracy": 0.2048274829983711, + "num_tokens": 11099743.0, + "step": 5025 + }, + { + "entropy": 5.2882936000823975, + "epoch": 5.070600100857287, + "grad_norm": 1.4140625, + "learning_rate": 0.00030866898443340324, + "loss": 4.66, + "mean_token_accuracy": 0.21423418521881105, + "num_tokens": 11109993.0, + "step": 5030 + }, + { + "entropy": 5.454429244995117, + "epoch": 5.075642965204236, + "grad_norm": 1.234375, + "learning_rate": 0.0003082767328103527, + "loss": 4.7316, + "mean_token_accuracy": 0.19962920844554902, + "num_tokens": 11121071.0, + "step": 5035 + }, + { + "entropy": 5.468168592453003, + "epoch": 5.080685829551185, + "grad_norm": 1.34375, + "learning_rate": 0.00030788437776244895, + "loss": 4.707, + "mean_token_accuracy": 0.21180965304374694, + "num_tokens": 11130402.0, + "step": 5040 + }, + { + "entropy": 5.363940095901489, + "epoch": 5.085728693898134, + "grad_norm": 1.1875, + "learning_rate": 0.0003074919205091405, + "loss": 4.815, + "mean_token_accuracy": 0.200840762257576, + "num_tokens": 11141272.0, + "step": 5045 + }, + { + "entropy": 5.448993110656739, + "epoch": 5.090771558245083, + "grad_norm": 1.28125, + "learning_rate": 0.0003070993622701936, + "loss": 4.7531, + "mean_token_accuracy": 0.2033784419298172, + "num_tokens": 11152254.0, + "step": 5050 + }, + { + "entropy": 5.383047008514405, + "epoch": 5.095814422592032, + "grad_norm": 1.4296875, + "learning_rate": 0.00030670670426568837, + "loss": 4.6806, + "mean_token_accuracy": 0.21028010547161102, + "num_tokens": 11162848.0, + "step": 5055 + }, + { + "entropy": 5.356310844421387, + "epoch": 5.100857286938981, + "grad_norm": 1.265625, + "learning_rate": 0.0003063139477160147, + "loss": 4.6863, + "mean_token_accuracy": 0.20928248167037963, + "num_tokens": 11173896.0, + "step": 5060 + }, + { + "entropy": 5.398014307022095, + "epoch": 5.1059001512859306, + "grad_norm": 1.2734375, + "learning_rate": 0.00030592109384186935, + "loss": 4.7307, + "mean_token_accuracy": 0.21019263416528702, + "num_tokens": 11184423.0, + "step": 5065 + }, + { + "entropy": 5.388689661026001, + "epoch": 5.11094301563288, + "grad_norm": 1.3125, + "learning_rate": 0.000305528143864251, + "loss": 4.7624, + "mean_token_accuracy": 0.2092597559094429, + "num_tokens": 11195128.0, + "step": 5070 + }, + { + "entropy": 5.373467206954956, + "epoch": 5.115985879979829, + "grad_norm": 1.28125, + "learning_rate": 0.00030513509900445725, + "loss": 4.7285, + "mean_token_accuracy": 0.21020106822252274, + "num_tokens": 11205628.0, + "step": 5075 + }, + { + "entropy": 5.383992910385132, + "epoch": 5.121028744326778, + "grad_norm": 1.3828125, + "learning_rate": 0.00030474196048408065, + "loss": 4.7651, + "mean_token_accuracy": 0.20403726100921632, + "num_tokens": 11216835.0, + "step": 5080 + }, + { + "entropy": 5.391399335861206, + "epoch": 5.126071608673727, + "grad_norm": 1.4140625, + "learning_rate": 0.0003043487295250049, + "loss": 4.7863, + "mean_token_accuracy": 0.19799292981624603, + "num_tokens": 11228763.0, + "step": 5085 + }, + { + "entropy": 5.366147708892822, + "epoch": 5.131114473020676, + "grad_norm": 1.3203125, + "learning_rate": 0.0003039554073494006, + "loss": 4.7319, + "mean_token_accuracy": 0.21267775297164918, + "num_tokens": 11239432.0, + "step": 5090 + }, + { + "entropy": 5.470732545852661, + "epoch": 5.136157337367624, + "grad_norm": 1.15625, + "learning_rate": 0.0003035619951797224, + "loss": 4.8514, + "mean_token_accuracy": 0.1952908530831337, + "num_tokens": 11249618.0, + "step": 5095 + }, + { + "entropy": 5.432192802429199, + "epoch": 5.1412002017145735, + "grad_norm": 1.234375, + "learning_rate": 0.0003031684942387043, + "loss": 4.7746, + "mean_token_accuracy": 0.2070817768573761, + "num_tokens": 11260359.0, + "step": 5100 + }, + { + "entropy": 5.400609254837036, + "epoch": 5.146243066061523, + "grad_norm": 1.1328125, + "learning_rate": 0.00030277490574935633, + "loss": 4.8143, + "mean_token_accuracy": 0.1999165177345276, + "num_tokens": 11272003.0, + "step": 5105 + }, + { + "entropy": 5.39234561920166, + "epoch": 5.151285930408472, + "grad_norm": 1.1796875, + "learning_rate": 0.0003023812309349605, + "loss": 4.7549, + "mean_token_accuracy": 0.20627606362104417, + "num_tokens": 11283649.0, + "step": 5110 + }, + { + "entropy": 5.5274261951446535, + "epoch": 5.156328794755421, + "grad_norm": 1.1953125, + "learning_rate": 0.0003019874710190674, + "loss": 4.8718, + "mean_token_accuracy": 0.1988748401403427, + "num_tokens": 11295844.0, + "step": 5115 + }, + { + "entropy": 5.449365043640137, + "epoch": 5.16137165910237, + "grad_norm": 1.203125, + "learning_rate": 0.0003015936272254918, + "loss": 4.7737, + "mean_token_accuracy": 0.2059719055891037, + "num_tokens": 11306676.0, + "step": 5120 + }, + { + "entropy": 5.384851932525635, + "epoch": 5.166414523449319, + "grad_norm": 1.234375, + "learning_rate": 0.0003011997007783094, + "loss": 4.7456, + "mean_token_accuracy": 0.20340470224618912, + "num_tokens": 11317801.0, + "step": 5125 + }, + { + "entropy": 5.382043647766113, + "epoch": 5.171457387796268, + "grad_norm": 1.296875, + "learning_rate": 0.0003008056929018525, + "loss": 4.7306, + "mean_token_accuracy": 0.20402662605047225, + "num_tokens": 11327530.0, + "step": 5130 + }, + { + "entropy": 5.5060724258422855, + "epoch": 5.176500252143217, + "grad_norm": 1.3515625, + "learning_rate": 0.00030041160482070686, + "loss": 4.7442, + "mean_token_accuracy": 0.20388694554567338, + "num_tokens": 11338784.0, + "step": 5135 + }, + { + "entropy": 5.406298446655273, + "epoch": 5.181543116490166, + "grad_norm": 1.4765625, + "learning_rate": 0.00030001743775970714, + "loss": 4.7815, + "mean_token_accuracy": 0.20606305152177812, + "num_tokens": 11348666.0, + "step": 5140 + }, + { + "entropy": 5.387162542343139, + "epoch": 5.1865859808371155, + "grad_norm": 1.4140625, + "learning_rate": 0.00029962319294393383, + "loss": 4.73, + "mean_token_accuracy": 0.2070406809449196, + "num_tokens": 11358247.0, + "step": 5145 + }, + { + "entropy": 5.343744802474975, + "epoch": 5.191628845184065, + "grad_norm": 1.4140625, + "learning_rate": 0.0002992288715987088, + "loss": 4.754, + "mean_token_accuracy": 0.20762002915143968, + "num_tokens": 11369897.0, + "step": 5150 + }, + { + "entropy": 5.429714822769165, + "epoch": 5.196671709531014, + "grad_norm": 1.1796875, + "learning_rate": 0.0002988344749495919, + "loss": 4.8356, + "mean_token_accuracy": 0.20064053535461426, + "num_tokens": 11381747.0, + "step": 5155 + }, + { + "entropy": 5.450630521774292, + "epoch": 5.201714573877963, + "grad_norm": 1.1796875, + "learning_rate": 0.00029844000422237714, + "loss": 4.8277, + "mean_token_accuracy": 0.19658990800380707, + "num_tokens": 11393725.0, + "step": 5160 + }, + { + "entropy": 5.3230180740356445, + "epoch": 5.206757438224912, + "grad_norm": 1.3515625, + "learning_rate": 0.00029804546064308854, + "loss": 4.7771, + "mean_token_accuracy": 0.2036718338727951, + "num_tokens": 11405223.0, + "step": 5165 + }, + { + "entropy": 5.4090415954589846, + "epoch": 5.211800302571861, + "grad_norm": 1.1171875, + "learning_rate": 0.00029765084543797657, + "loss": 4.7617, + "mean_token_accuracy": 0.20066658705472945, + "num_tokens": 11416334.0, + "step": 5170 + }, + { + "entropy": 5.387953090667724, + "epoch": 5.21684316691881, + "grad_norm": 1.28125, + "learning_rate": 0.0002972561598335145, + "loss": 4.7496, + "mean_token_accuracy": 0.20192946195602418, + "num_tokens": 11427202.0, + "step": 5175 + }, + { + "entropy": 5.42350058555603, + "epoch": 5.221886031265759, + "grad_norm": 1.2734375, + "learning_rate": 0.0002968614050563943, + "loss": 4.8457, + "mean_token_accuracy": 0.19637791067361832, + "num_tokens": 11438302.0, + "step": 5180 + }, + { + "entropy": 5.411188840866089, + "epoch": 5.2269288956127085, + "grad_norm": 1.1875, + "learning_rate": 0.0002964665823335229, + "loss": 4.7577, + "mean_token_accuracy": 0.20150525718927384, + "num_tokens": 11450551.0, + "step": 5185 + }, + { + "entropy": 5.3604906558990475, + "epoch": 5.231971759959657, + "grad_norm": 1.171875, + "learning_rate": 0.00029607169289201836, + "loss": 4.741, + "mean_token_accuracy": 0.21597910523414612, + "num_tokens": 11460907.0, + "step": 5190 + }, + { + "entropy": 5.375416374206543, + "epoch": 5.237014624306606, + "grad_norm": 1.2109375, + "learning_rate": 0.00029567673795920625, + "loss": 4.7224, + "mean_token_accuracy": 0.207424658536911, + "num_tokens": 11472290.0, + "step": 5195 + }, + { + "entropy": 5.276330804824829, + "epoch": 5.242057488653555, + "grad_norm": 1.171875, + "learning_rate": 0.00029528171876261555, + "loss": 4.7787, + "mean_token_accuracy": 0.20905390083789827, + "num_tokens": 11484946.0, + "step": 5200 + }, + { + "entropy": 5.454510831832886, + "epoch": 5.247100353000504, + "grad_norm": 1.2734375, + "learning_rate": 0.0002948866365299751, + "loss": 4.8389, + "mean_token_accuracy": 0.1950281471014023, + "num_tokens": 11494845.0, + "step": 5205 + }, + { + "entropy": 5.511236238479614, + "epoch": 5.252143217347453, + "grad_norm": 1.203125, + "learning_rate": 0.0002944914924892096, + "loss": 4.852, + "mean_token_accuracy": 0.19927518665790558, + "num_tokens": 11506533.0, + "step": 5210 + }, + { + "entropy": 5.375716781616211, + "epoch": 5.257186081694402, + "grad_norm": 1.2265625, + "learning_rate": 0.0002940962878684358, + "loss": 4.7628, + "mean_token_accuracy": 0.20310329794883727, + "num_tokens": 11516985.0, + "step": 5215 + }, + { + "entropy": 5.324270009994507, + "epoch": 5.262228946041351, + "grad_norm": 1.515625, + "learning_rate": 0.0002937010238959588, + "loss": 4.7455, + "mean_token_accuracy": 0.20899288654327391, + "num_tokens": 11526203.0, + "step": 5220 + }, + { + "entropy": 5.351016664505005, + "epoch": 5.2672718103883005, + "grad_norm": 1.4609375, + "learning_rate": 0.0002933057018002681, + "loss": 4.8466, + "mean_token_accuracy": 0.2013192817568779, + "num_tokens": 11536676.0, + "step": 5225 + }, + { + "entropy": 5.415819597244263, + "epoch": 5.27231467473525, + "grad_norm": 1.1171875, + "learning_rate": 0.000292910322810034, + "loss": 4.7999, + "mean_token_accuracy": 0.20850418359041215, + "num_tokens": 11548466.0, + "step": 5230 + }, + { + "entropy": 5.401542377471924, + "epoch": 5.277357539082199, + "grad_norm": 1.1171875, + "learning_rate": 0.00029251488815410344, + "loss": 4.8248, + "mean_token_accuracy": 0.19646383076906204, + "num_tokens": 11560065.0, + "step": 5235 + }, + { + "entropy": 5.407020950317383, + "epoch": 5.282400403429148, + "grad_norm": 1.25, + "learning_rate": 0.00029211939906149644, + "loss": 4.8254, + "mean_token_accuracy": 0.1985974207520485, + "num_tokens": 11571718.0, + "step": 5240 + }, + { + "entropy": 5.37835693359375, + "epoch": 5.287443267776097, + "grad_norm": 1.2578125, + "learning_rate": 0.00029172385676140225, + "loss": 4.8058, + "mean_token_accuracy": 0.20265444219112397, + "num_tokens": 11583046.0, + "step": 5245 + }, + { + "entropy": 5.317554950714111, + "epoch": 5.292486132123046, + "grad_norm": 1.265625, + "learning_rate": 0.00029132826248317537, + "loss": 4.6898, + "mean_token_accuracy": 0.20848133116960527, + "num_tokens": 11593744.0, + "step": 5250 + }, + { + "entropy": 5.385888576507568, + "epoch": 5.297528996469995, + "grad_norm": 1.2421875, + "learning_rate": 0.0002909326174563322, + "loss": 4.7439, + "mean_token_accuracy": 0.20916520357131957, + "num_tokens": 11604337.0, + "step": 5255 + }, + { + "entropy": 5.394536018371582, + "epoch": 5.302571860816944, + "grad_norm": 1.2578125, + "learning_rate": 0.00029053692291054636, + "loss": 4.8092, + "mean_token_accuracy": 0.2000624418258667, + "num_tokens": 11615712.0, + "step": 5260 + }, + { + "entropy": 5.324703073501587, + "epoch": 5.307614725163893, + "grad_norm": 1.140625, + "learning_rate": 0.00029014118007564564, + "loss": 4.7372, + "mean_token_accuracy": 0.20561733543872834, + "num_tokens": 11625846.0, + "step": 5265 + }, + { + "entropy": 5.344365358352661, + "epoch": 5.3126575895108425, + "grad_norm": 1.296875, + "learning_rate": 0.0002897453901816081, + "loss": 4.7914, + "mean_token_accuracy": 0.20059997588396072, + "num_tokens": 11635968.0, + "step": 5270 + }, + { + "entropy": 5.4661658763885494, + "epoch": 5.317700453857791, + "grad_norm": 1.3515625, + "learning_rate": 0.00028934955445855773, + "loss": 4.8665, + "mean_token_accuracy": 0.20574951171875, + "num_tokens": 11646858.0, + "step": 5275 + }, + { + "entropy": 5.3323393821716305, + "epoch": 5.32274331820474, + "grad_norm": 1.328125, + "learning_rate": 0.00028895367413676095, + "loss": 4.7689, + "mean_token_accuracy": 0.20801410377025603, + "num_tokens": 11657728.0, + "step": 5280 + }, + { + "entropy": 5.462389087677002, + "epoch": 5.327786182551689, + "grad_norm": 1.265625, + "learning_rate": 0.0002885577504466232, + "loss": 4.8162, + "mean_token_accuracy": 0.20330755561590194, + "num_tokens": 11668288.0, + "step": 5285 + }, + { + "entropy": 5.37921552658081, + "epoch": 5.332829046898638, + "grad_norm": 1.140625, + "learning_rate": 0.00028816178461868425, + "loss": 4.7375, + "mean_token_accuracy": 0.2022107347846031, + "num_tokens": 11679883.0, + "step": 5290 + }, + { + "entropy": 5.415158128738403, + "epoch": 5.337871911245587, + "grad_norm": 1.1484375, + "learning_rate": 0.0002877657778836151, + "loss": 4.8363, + "mean_token_accuracy": 0.19621689319610597, + "num_tokens": 11690643.0, + "step": 5295 + }, + { + "entropy": 5.428422117233277, + "epoch": 5.342914775592536, + "grad_norm": 1.3828125, + "learning_rate": 0.0002873697314722138, + "loss": 4.8324, + "mean_token_accuracy": 0.20309034287929534, + "num_tokens": 11701687.0, + "step": 5300 + }, + { + "entropy": 5.359555959701538, + "epoch": 5.3479576399394855, + "grad_norm": 1.09375, + "learning_rate": 0.0002869736466154018, + "loss": 4.7564, + "mean_token_accuracy": 0.20772893279790877, + "num_tokens": 11713432.0, + "step": 5305 + }, + { + "entropy": 5.408741807937622, + "epoch": 5.353000504286435, + "grad_norm": 1.3203125, + "learning_rate": 0.00028657752454421974, + "loss": 4.8059, + "mean_token_accuracy": 0.20484850853681563, + "num_tokens": 11725009.0, + "step": 5310 + }, + { + "entropy": 5.435963106155396, + "epoch": 5.358043368633384, + "grad_norm": 1.265625, + "learning_rate": 0.0002861813664898245, + "loss": 4.7478, + "mean_token_accuracy": 0.21129528284072877, + "num_tokens": 11735576.0, + "step": 5315 + }, + { + "entropy": 5.396055507659912, + "epoch": 5.363086232980333, + "grad_norm": 1.234375, + "learning_rate": 0.00028578517368348425, + "loss": 4.7527, + "mean_token_accuracy": 0.2051149368286133, + "num_tokens": 11746334.0, + "step": 5320 + }, + { + "entropy": 5.342900180816651, + "epoch": 5.368129097327282, + "grad_norm": 1.1796875, + "learning_rate": 0.0002853889473565753, + "loss": 4.7693, + "mean_token_accuracy": 0.2017793208360672, + "num_tokens": 11757093.0, + "step": 5325 + }, + { + "entropy": 5.349963808059693, + "epoch": 5.373171961674231, + "grad_norm": 1.5859375, + "learning_rate": 0.0002849926887405784, + "loss": 4.7967, + "mean_token_accuracy": 0.19983594566583635, + "num_tokens": 11767141.0, + "step": 5330 + }, + { + "entropy": 5.512475156784058, + "epoch": 5.37821482602118, + "grad_norm": 1.2421875, + "learning_rate": 0.0002845963990670744, + "loss": 4.9514, + "mean_token_accuracy": 0.19021792709827423, + "num_tokens": 11778944.0, + "step": 5335 + }, + { + "entropy": 5.40713062286377, + "epoch": 5.383257690368129, + "grad_norm": 1.375, + "learning_rate": 0.00028420007956774077, + "loss": 4.6902, + "mean_token_accuracy": 0.20905327051877975, + "num_tokens": 11789081.0, + "step": 5340 + }, + { + "entropy": 5.3399951457977295, + "epoch": 5.388300554715078, + "grad_norm": 1.34375, + "learning_rate": 0.00028380373147434746, + "loss": 4.7737, + "mean_token_accuracy": 0.2040804609656334, + "num_tokens": 11800626.0, + "step": 5345 + }, + { + "entropy": 5.378877353668213, + "epoch": 5.3933434190620275, + "grad_norm": 1.203125, + "learning_rate": 0.00028340735601875376, + "loss": 4.7866, + "mean_token_accuracy": 0.19718751609325408, + "num_tokens": 11810899.0, + "step": 5350 + }, + { + "entropy": 5.417437934875489, + "epoch": 5.398386283408977, + "grad_norm": 1.21875, + "learning_rate": 0.0002830109544329036, + "loss": 4.8029, + "mean_token_accuracy": 0.20603054910898208, + "num_tokens": 11822599.0, + "step": 5355 + }, + { + "entropy": 5.413007068634033, + "epoch": 5.403429147755926, + "grad_norm": 1.0390625, + "learning_rate": 0.00028261452794882223, + "loss": 4.8487, + "mean_token_accuracy": 0.20448752641677856, + "num_tokens": 11836199.0, + "step": 5360 + }, + { + "entropy": 5.285883283615112, + "epoch": 5.408472012102875, + "grad_norm": 1.359375, + "learning_rate": 0.00028221807779861243, + "loss": 4.6572, + "mean_token_accuracy": 0.21588353663682938, + "num_tokens": 11846220.0, + "step": 5365 + }, + { + "entropy": 5.366286277770996, + "epoch": 5.413514876449823, + "grad_norm": 1.4453125, + "learning_rate": 0.0002818216052144502, + "loss": 4.7719, + "mean_token_accuracy": 0.20182025879621507, + "num_tokens": 11857356.0, + "step": 5370 + }, + { + "entropy": 5.40411696434021, + "epoch": 5.418557740796772, + "grad_norm": 1.3359375, + "learning_rate": 0.0002814251114285816, + "loss": 4.759, + "mean_token_accuracy": 0.20002357810735702, + "num_tokens": 11869088.0, + "step": 5375 + }, + { + "entropy": 5.362497329711914, + "epoch": 5.423600605143721, + "grad_norm": 1.3828125, + "learning_rate": 0.0002810285976733186, + "loss": 4.7575, + "mean_token_accuracy": 0.2007217139005661, + "num_tokens": 11878805.0, + "step": 5380 + }, + { + "entropy": 5.344033241271973, + "epoch": 5.4286434694906704, + "grad_norm": 1.296875, + "learning_rate": 0.0002806320651810349, + "loss": 4.7229, + "mean_token_accuracy": 0.20748991668224334, + "num_tokens": 11889656.0, + "step": 5385 + }, + { + "entropy": 5.390753555297851, + "epoch": 5.43368633383762, + "grad_norm": 1.21875, + "learning_rate": 0.0002802355151841627, + "loss": 4.7644, + "mean_token_accuracy": 0.20545733124017715, + "num_tokens": 11901816.0, + "step": 5390 + }, + { + "entropy": 5.306405162811279, + "epoch": 5.438729198184569, + "grad_norm": 1.296875, + "learning_rate": 0.0002798389489151886, + "loss": 4.7576, + "mean_token_accuracy": 0.2034154698252678, + "num_tokens": 11915049.0, + "step": 5395 + }, + { + "entropy": 5.366006183624267, + "epoch": 5.443772062531518, + "grad_norm": 1.1953125, + "learning_rate": 0.00027944236760664947, + "loss": 4.7347, + "mean_token_accuracy": 0.2040851205587387, + "num_tokens": 11925574.0, + "step": 5400 + }, + { + "entropy": 5.373019075393676, + "epoch": 5.448814926878467, + "grad_norm": 1.375, + "learning_rate": 0.00027904577249112945, + "loss": 4.7729, + "mean_token_accuracy": 0.20976183712482452, + "num_tokens": 11936790.0, + "step": 5405 + }, + { + "entropy": 5.37097053527832, + "epoch": 5.453857791225416, + "grad_norm": 1.2734375, + "learning_rate": 0.0002786491648012552, + "loss": 4.7702, + "mean_token_accuracy": 0.19968913346529008, + "num_tokens": 11947430.0, + "step": 5410 + }, + { + "entropy": 5.392760419845581, + "epoch": 5.458900655572365, + "grad_norm": 1.359375, + "learning_rate": 0.0002782525457696926, + "loss": 4.8093, + "mean_token_accuracy": 0.2016148239374161, + "num_tokens": 11959385.0, + "step": 5415 + }, + { + "entropy": 5.367619800567627, + "epoch": 5.463943519919314, + "grad_norm": 1.1875, + "learning_rate": 0.0002778559166291427, + "loss": 4.7897, + "mean_token_accuracy": 0.20243736058473588, + "num_tokens": 11972117.0, + "step": 5420 + }, + { + "entropy": 5.404072093963623, + "epoch": 5.468986384266263, + "grad_norm": 1.2109375, + "learning_rate": 0.0002774592786123379, + "loss": 4.8294, + "mean_token_accuracy": 0.19929574579000472, + "num_tokens": 11984195.0, + "step": 5425 + }, + { + "entropy": 5.384224510192871, + "epoch": 5.4740292486132125, + "grad_norm": 1.3828125, + "learning_rate": 0.0002770626329520386, + "loss": 4.7591, + "mean_token_accuracy": 0.20624046474695207, + "num_tokens": 11994875.0, + "step": 5430 + }, + { + "entropy": 5.42634220123291, + "epoch": 5.479072112960162, + "grad_norm": 1.3125, + "learning_rate": 0.0002766659808810285, + "loss": 4.8343, + "mean_token_accuracy": 0.20160355269908906, + "num_tokens": 12006408.0, + "step": 5435 + }, + { + "entropy": 5.4102010250091555, + "epoch": 5.484114977307111, + "grad_norm": 1.21875, + "learning_rate": 0.00027626932363211134, + "loss": 4.7882, + "mean_token_accuracy": 0.2065979465842247, + "num_tokens": 12016764.0, + "step": 5440 + }, + { + "entropy": 5.375625371932983, + "epoch": 5.48915784165406, + "grad_norm": 1.1328125, + "learning_rate": 0.0002758726624381071, + "loss": 4.7426, + "mean_token_accuracy": 0.21021603494882585, + "num_tokens": 12027900.0, + "step": 5445 + }, + { + "entropy": 5.3879789352417, + "epoch": 5.494200706001009, + "grad_norm": 1.34375, + "learning_rate": 0.0002754759985318478, + "loss": 4.8359, + "mean_token_accuracy": 0.19971801191568375, + "num_tokens": 12038641.0, + "step": 5450 + }, + { + "entropy": 5.400270891189575, + "epoch": 5.499243570347957, + "grad_norm": 1.203125, + "learning_rate": 0.0002750793331461741, + "loss": 4.8084, + "mean_token_accuracy": 0.19689522981643676, + "num_tokens": 12050938.0, + "step": 5455 + }, + { + "entropy": 5.380944490432739, + "epoch": 5.504286434694906, + "grad_norm": 1.203125, + "learning_rate": 0.0002746826675139313, + "loss": 4.7536, + "mean_token_accuracy": 0.2038170129060745, + "num_tokens": 12061483.0, + "step": 5460 + }, + { + "entropy": 5.428875350952149, + "epoch": 5.509329299041855, + "grad_norm": 1.4140625, + "learning_rate": 0.00027428600286796503, + "loss": 4.8109, + "mean_token_accuracy": 0.19564636945724487, + "num_tokens": 12073214.0, + "step": 5465 + }, + { + "entropy": 5.413195037841797, + "epoch": 5.5143721633888045, + "grad_norm": 1.515625, + "learning_rate": 0.00027388934044111836, + "loss": 4.7896, + "mean_token_accuracy": 0.20607620030641555, + "num_tokens": 12082536.0, + "step": 5470 + }, + { + "entropy": 5.447469186782837, + "epoch": 5.519415027735754, + "grad_norm": 1.2109375, + "learning_rate": 0.0002734926814662271, + "loss": 4.8629, + "mean_token_accuracy": 0.1926976814866066, + "num_tokens": 12094867.0, + "step": 5475 + }, + { + "entropy": 5.416417980194092, + "epoch": 5.524457892082703, + "grad_norm": 1.3984375, + "learning_rate": 0.00027309602717611673, + "loss": 4.8627, + "mean_token_accuracy": 0.20292915999889374, + "num_tokens": 12105385.0, + "step": 5480 + }, + { + "entropy": 5.364644479751587, + "epoch": 5.529500756429652, + "grad_norm": 1.1484375, + "learning_rate": 0.00027269937880359786, + "loss": 4.7571, + "mean_token_accuracy": 0.2100677892565727, + "num_tokens": 12117652.0, + "step": 5485 + }, + { + "entropy": 5.402087545394897, + "epoch": 5.534543620776601, + "grad_norm": 1.2734375, + "learning_rate": 0.00027230273758146263, + "loss": 4.8328, + "mean_token_accuracy": 0.20247368216514589, + "num_tokens": 12128372.0, + "step": 5490 + }, + { + "entropy": 5.426740074157715, + "epoch": 5.53958648512355, + "grad_norm": 1.3515625, + "learning_rate": 0.0002719061047424813, + "loss": 4.818, + "mean_token_accuracy": 0.2003900319337845, + "num_tokens": 12138943.0, + "step": 5495 + }, + { + "entropy": 5.3167243003845215, + "epoch": 5.544629349470499, + "grad_norm": 1.203125, + "learning_rate": 0.0002715094815193978, + "loss": 4.7368, + "mean_token_accuracy": 0.20867759585380555, + "num_tokens": 12149329.0, + "step": 5500 + }, + { + "entropy": 5.331606101989746, + "epoch": 5.549672213817448, + "grad_norm": 1.359375, + "learning_rate": 0.0002711128691449262, + "loss": 4.7266, + "mean_token_accuracy": 0.20735112428665162, + "num_tokens": 12160498.0, + "step": 5505 + }, + { + "entropy": 5.4235076904296875, + "epoch": 5.5547150781643975, + "grad_norm": 1.328125, + "learning_rate": 0.000270716268851747, + "loss": 4.8422, + "mean_token_accuracy": 0.19248930662870406, + "num_tokens": 12171110.0, + "step": 5510 + }, + { + "entropy": 5.297978353500366, + "epoch": 5.559757942511347, + "grad_norm": 1.1796875, + "learning_rate": 0.00027031968187250305, + "loss": 4.7609, + "mean_token_accuracy": 0.2007995918393135, + "num_tokens": 12182706.0, + "step": 5515 + }, + { + "entropy": 5.36890983581543, + "epoch": 5.564800806858296, + "grad_norm": 1.2578125, + "learning_rate": 0.0002699231094397957, + "loss": 4.7555, + "mean_token_accuracy": 0.20540590286254884, + "num_tokens": 12194023.0, + "step": 5520 + }, + { + "entropy": 5.39328031539917, + "epoch": 5.569843671205245, + "grad_norm": 1.40625, + "learning_rate": 0.0002695265527861815, + "loss": 4.7822, + "mean_token_accuracy": 0.19761642217636108, + "num_tokens": 12204165.0, + "step": 5525 + }, + { + "entropy": 5.416159820556641, + "epoch": 5.574886535552194, + "grad_norm": 1.28125, + "learning_rate": 0.0002691300131441674, + "loss": 4.8489, + "mean_token_accuracy": 0.1993971899151802, + "num_tokens": 12214840.0, + "step": 5530 + }, + { + "entropy": 5.398578071594239, + "epoch": 5.579929399899143, + "grad_norm": 1.1796875, + "learning_rate": 0.0002687334917462079, + "loss": 4.8122, + "mean_token_accuracy": 0.20347722321748735, + "num_tokens": 12226454.0, + "step": 5535 + }, + { + "entropy": 5.382529306411743, + "epoch": 5.584972264246092, + "grad_norm": 1.4921875, + "learning_rate": 0.0002683369898247005, + "loss": 4.8185, + "mean_token_accuracy": 0.19594880789518357, + "num_tokens": 12236958.0, + "step": 5540 + }, + { + "entropy": 5.407418203353882, + "epoch": 5.590015128593041, + "grad_norm": 1.2578125, + "learning_rate": 0.0002679405086119825, + "loss": 4.7829, + "mean_token_accuracy": 0.20016122311353685, + "num_tokens": 12248050.0, + "step": 5545 + }, + { + "entropy": 5.418981838226318, + "epoch": 5.59505799293999, + "grad_norm": 1.359375, + "learning_rate": 0.00026754404934032657, + "loss": 4.7709, + "mean_token_accuracy": 0.19695729166269302, + "num_tokens": 12258230.0, + "step": 5550 + }, + { + "entropy": 5.2918905258178714, + "epoch": 5.600100857286939, + "grad_norm": 1.3125, + "learning_rate": 0.0002671476132419374, + "loss": 4.7131, + "mean_token_accuracy": 0.2035423129796982, + "num_tokens": 12268708.0, + "step": 5555 + }, + { + "entropy": 5.359189367294311, + "epoch": 5.605143721633888, + "grad_norm": 1.2421875, + "learning_rate": 0.0002667512015489472, + "loss": 4.8098, + "mean_token_accuracy": 0.198850516974926, + "num_tokens": 12279363.0, + "step": 5560 + }, + { + "entropy": 5.361038446426392, + "epoch": 5.610186585980837, + "grad_norm": 1.2578125, + "learning_rate": 0.000266354815493413, + "loss": 4.6775, + "mean_token_accuracy": 0.2127465561032295, + "num_tokens": 12290525.0, + "step": 5565 + }, + { + "entropy": 5.3382140636444095, + "epoch": 5.615229450327786, + "grad_norm": 1.171875, + "learning_rate": 0.00026595845630731166, + "loss": 4.7394, + "mean_token_accuracy": 0.21278925836086274, + "num_tokens": 12301404.0, + "step": 5570 + }, + { + "entropy": 5.28578896522522, + "epoch": 5.620272314674735, + "grad_norm": 1.3515625, + "learning_rate": 0.00026556212522253666, + "loss": 4.7747, + "mean_token_accuracy": 0.20052016228437425, + "num_tokens": 12312601.0, + "step": 5575 + }, + { + "entropy": 5.371021366119384, + "epoch": 5.625315179021684, + "grad_norm": 1.4375, + "learning_rate": 0.0002651658234708941, + "loss": 4.7389, + "mean_token_accuracy": 0.20447789281606674, + "num_tokens": 12324192.0, + "step": 5580 + }, + { + "entropy": 5.4337811946868895, + "epoch": 5.630358043368633, + "grad_norm": 1.3046875, + "learning_rate": 0.00026476955228409924, + "loss": 4.7604, + "mean_token_accuracy": 0.21026771813631057, + "num_tokens": 12335358.0, + "step": 5585 + }, + { + "entropy": 5.328546142578125, + "epoch": 5.635400907715582, + "grad_norm": 1.1484375, + "learning_rate": 0.00026437331289377175, + "loss": 4.7659, + "mean_token_accuracy": 0.2018200382590294, + "num_tokens": 12347000.0, + "step": 5590 + }, + { + "entropy": 5.434003067016602, + "epoch": 5.640443772062532, + "grad_norm": 1.3046875, + "learning_rate": 0.0002639771065314329, + "loss": 4.8828, + "mean_token_accuracy": 0.19211796522140503, + "num_tokens": 12358067.0, + "step": 5595 + }, + { + "entropy": 5.412813138961792, + "epoch": 5.645486636409481, + "grad_norm": 1.078125, + "learning_rate": 0.00026358093442850134, + "loss": 4.7987, + "mean_token_accuracy": 0.19619182050228118, + "num_tokens": 12369359.0, + "step": 5600 + }, + { + "entropy": 5.379443597793579, + "epoch": 5.65052950075643, + "grad_norm": 1.1953125, + "learning_rate": 0.0002631847978162889, + "loss": 4.8384, + "mean_token_accuracy": 0.20223764479160308, + "num_tokens": 12380789.0, + "step": 5605 + }, + { + "entropy": 5.349356412887573, + "epoch": 5.655572365103379, + "grad_norm": 1.25, + "learning_rate": 0.00026278869792599745, + "loss": 4.7751, + "mean_token_accuracy": 0.20764461308717727, + "num_tokens": 12392591.0, + "step": 5610 + }, + { + "entropy": 5.34460825920105, + "epoch": 5.660615229450328, + "grad_norm": 1.3046875, + "learning_rate": 0.0002623926359887145, + "loss": 4.8184, + "mean_token_accuracy": 0.19706828147172928, + "num_tokens": 12404269.0, + "step": 5615 + }, + { + "entropy": 5.430381488800049, + "epoch": 5.665658093797277, + "grad_norm": 1.4453125, + "learning_rate": 0.00026199661323540973, + "loss": 4.8309, + "mean_token_accuracy": 0.20572761446237564, + "num_tokens": 12414356.0, + "step": 5620 + }, + { + "entropy": 5.4070611000061035, + "epoch": 5.670700958144226, + "grad_norm": 1.328125, + "learning_rate": 0.00026160063089693096, + "loss": 4.7887, + "mean_token_accuracy": 0.20611845701932907, + "num_tokens": 12424480.0, + "step": 5625 + }, + { + "entropy": 5.383074998855591, + "epoch": 5.675743822491175, + "grad_norm": 1.2578125, + "learning_rate": 0.0002612046902040006, + "loss": 4.8203, + "mean_token_accuracy": 0.19679659008979797, + "num_tokens": 12437253.0, + "step": 5630 + }, + { + "entropy": 5.478241586685181, + "epoch": 5.680786686838124, + "grad_norm": 1.1796875, + "learning_rate": 0.0002608087923872111, + "loss": 4.7828, + "mean_token_accuracy": 0.2005940333008766, + "num_tokens": 12448297.0, + "step": 5635 + }, + { + "entropy": 5.431466722488404, + "epoch": 5.685829551185073, + "grad_norm": 1.21875, + "learning_rate": 0.00026041293867702235, + "loss": 4.835, + "mean_token_accuracy": 0.20168797373771669, + "num_tokens": 12460066.0, + "step": 5640 + }, + { + "entropy": 5.405737352371216, + "epoch": 5.690872415532022, + "grad_norm": 1.2890625, + "learning_rate": 0.00026001713030375664, + "loss": 4.8312, + "mean_token_accuracy": 0.19425902664661407, + "num_tokens": 12469806.0, + "step": 5645 + }, + { + "entropy": 5.340780353546142, + "epoch": 5.695915279878971, + "grad_norm": 1.265625, + "learning_rate": 0.00025962136849759564, + "loss": 4.8248, + "mean_token_accuracy": 0.1924226090312004, + "num_tokens": 12480713.0, + "step": 5650 + }, + { + "entropy": 5.335066604614258, + "epoch": 5.70095814422592, + "grad_norm": 1.2890625, + "learning_rate": 0.00025922565448857605, + "loss": 4.7662, + "mean_token_accuracy": 0.19760394990444183, + "num_tokens": 12491635.0, + "step": 5655 + }, + { + "entropy": 5.405575895309449, + "epoch": 5.706001008572869, + "grad_norm": 1.4140625, + "learning_rate": 0.00025882998950658623, + "loss": 4.7873, + "mean_token_accuracy": 0.19493716955184937, + "num_tokens": 12502064.0, + "step": 5660 + }, + { + "entropy": 5.398749971389771, + "epoch": 5.711043872919818, + "grad_norm": 1.3359375, + "learning_rate": 0.00025843437478136196, + "loss": 4.8079, + "mean_token_accuracy": 0.20524186491966248, + "num_tokens": 12512525.0, + "step": 5665 + }, + { + "entropy": 5.335463333129883, + "epoch": 5.716086737266767, + "grad_norm": 1.1953125, + "learning_rate": 0.00025803881154248305, + "loss": 4.7732, + "mean_token_accuracy": 0.1931627333164215, + "num_tokens": 12523512.0, + "step": 5670 + }, + { + "entropy": 5.351618337631225, + "epoch": 5.7211296016137165, + "grad_norm": 1.3359375, + "learning_rate": 0.0002576433010193691, + "loss": 4.7278, + "mean_token_accuracy": 0.19881056994199753, + "num_tokens": 12533678.0, + "step": 5675 + }, + { + "entropy": 5.355673885345459, + "epoch": 5.726172465960666, + "grad_norm": 1.2265625, + "learning_rate": 0.000257247844441276, + "loss": 4.8625, + "mean_token_accuracy": 0.20028068572282792, + "num_tokens": 12545519.0, + "step": 5680 + }, + { + "entropy": 5.392779731750489, + "epoch": 5.731215330307615, + "grad_norm": 1.2421875, + "learning_rate": 0.00025685244303729187, + "loss": 4.7666, + "mean_token_accuracy": 0.20816505402326585, + "num_tokens": 12556960.0, + "step": 5685 + }, + { + "entropy": 5.359384536743164, + "epoch": 5.736258194654564, + "grad_norm": 1.265625, + "learning_rate": 0.0002564570980363334, + "loss": 4.7361, + "mean_token_accuracy": 0.20638254135847092, + "num_tokens": 12567085.0, + "step": 5690 + }, + { + "entropy": 5.3717506408691404, + "epoch": 5.741301059001513, + "grad_norm": 1.3671875, + "learning_rate": 0.00025606181066714195, + "loss": 4.7859, + "mean_token_accuracy": 0.19550453275442123, + "num_tokens": 12576382.0, + "step": 5695 + }, + { + "entropy": 5.380795001983643, + "epoch": 5.746343923348462, + "grad_norm": 1.28125, + "learning_rate": 0.0002556665821582798, + "loss": 4.804, + "mean_token_accuracy": 0.2034294456243515, + "num_tokens": 12587332.0, + "step": 5700 + }, + { + "entropy": 5.329462766647339, + "epoch": 5.751386787695411, + "grad_norm": 1.234375, + "learning_rate": 0.0002552714137381264, + "loss": 4.775, + "mean_token_accuracy": 0.20877379626035691, + "num_tokens": 12597816.0, + "step": 5705 + }, + { + "entropy": 5.419559144973755, + "epoch": 5.75642965204236, + "grad_norm": 1.203125, + "learning_rate": 0.0002548763066348741, + "loss": 4.8104, + "mean_token_accuracy": 0.2014116421341896, + "num_tokens": 12609463.0, + "step": 5710 + }, + { + "entropy": 5.347645282745361, + "epoch": 5.7614725163893095, + "grad_norm": 1.265625, + "learning_rate": 0.0002544812620765251, + "loss": 4.8199, + "mean_token_accuracy": 0.20352404415607453, + "num_tokens": 12621551.0, + "step": 5715 + }, + { + "entropy": 5.40521354675293, + "epoch": 5.766515380736259, + "grad_norm": 1.3671875, + "learning_rate": 0.0002540862812908868, + "loss": 4.7497, + "mean_token_accuracy": 0.2069175735116005, + "num_tokens": 12632246.0, + "step": 5720 + }, + { + "entropy": 5.376331758499146, + "epoch": 5.771558245083208, + "grad_norm": 1.265625, + "learning_rate": 0.0002536913655055687, + "loss": 4.7504, + "mean_token_accuracy": 0.20739430338144302, + "num_tokens": 12642398.0, + "step": 5725 + }, + { + "entropy": 5.343450546264648, + "epoch": 5.776601109430157, + "grad_norm": 1.2890625, + "learning_rate": 0.0002532965159479781, + "loss": 4.7801, + "mean_token_accuracy": 0.20516646802425384, + "num_tokens": 12652454.0, + "step": 5730 + }, + { + "entropy": 5.403167772293091, + "epoch": 5.781643973777105, + "grad_norm": 1.40625, + "learning_rate": 0.0002529017338453167, + "loss": 4.8266, + "mean_token_accuracy": 0.20408095866441728, + "num_tokens": 12663757.0, + "step": 5735 + }, + { + "entropy": 5.44119873046875, + "epoch": 5.786686838124054, + "grad_norm": 1.375, + "learning_rate": 0.0002525070204245761, + "loss": 4.8073, + "mean_token_accuracy": 0.20163584649562835, + "num_tokens": 12674795.0, + "step": 5740 + }, + { + "entropy": 5.388897228240967, + "epoch": 5.791729702471003, + "grad_norm": 1.34375, + "learning_rate": 0.00025211237691253507, + "loss": 4.8593, + "mean_token_accuracy": 0.19761030226945878, + "num_tokens": 12686162.0, + "step": 5745 + }, + { + "entropy": 5.411794424057007, + "epoch": 5.796772566817952, + "grad_norm": 1.3828125, + "learning_rate": 0.00025171780453575447, + "loss": 4.7833, + "mean_token_accuracy": 0.19894900172948837, + "num_tokens": 12696930.0, + "step": 5750 + }, + { + "entropy": 5.430048322677612, + "epoch": 5.8018154311649015, + "grad_norm": 1.265625, + "learning_rate": 0.0002513233045205746, + "loss": 4.8304, + "mean_token_accuracy": 0.20307109504938126, + "num_tokens": 12708083.0, + "step": 5755 + }, + { + "entropy": 5.339283895492554, + "epoch": 5.806858295511851, + "grad_norm": 1.40625, + "learning_rate": 0.0002509288780931102, + "loss": 4.7246, + "mean_token_accuracy": 0.20105741918087006, + "num_tokens": 12718852.0, + "step": 5760 + }, + { + "entropy": 5.389208507537842, + "epoch": 5.8119011598588, + "grad_norm": 1.515625, + "learning_rate": 0.0002505345264792482, + "loss": 4.8418, + "mean_token_accuracy": 0.2007734403014183, + "num_tokens": 12729276.0, + "step": 5765 + }, + { + "entropy": 5.384714031219483, + "epoch": 5.816944024205749, + "grad_norm": 1.2734375, + "learning_rate": 0.00025014025090464205, + "loss": 4.7587, + "mean_token_accuracy": 0.20847140103578568, + "num_tokens": 12739442.0, + "step": 5770 + }, + { + "entropy": 5.395238590240479, + "epoch": 5.821986888552698, + "grad_norm": 1.4296875, + "learning_rate": 0.00024974605259470975, + "loss": 4.8388, + "mean_token_accuracy": 0.20188961178064346, + "num_tokens": 12750315.0, + "step": 5775 + }, + { + "entropy": 5.367918825149536, + "epoch": 5.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.00024935193277462835, + "loss": 4.7595, + "mean_token_accuracy": 0.20250935703516007, + "num_tokens": 12761306.0, + "step": 5780 + }, + { + "entropy": 5.399157953262329, + "epoch": 5.832072617246596, + "grad_norm": 1.3984375, + "learning_rate": 0.0002489578926693317, + "loss": 4.767, + "mean_token_accuracy": 0.20976047068834305, + "num_tokens": 12772182.0, + "step": 5785 + }, + { + "entropy": 5.362395763397217, + "epoch": 5.837115481593545, + "grad_norm": 1.25, + "learning_rate": 0.0002485639335035053, + "loss": 4.7758, + "mean_token_accuracy": 0.2043982192873955, + "num_tokens": 12783455.0, + "step": 5790 + }, + { + "entropy": 5.37901291847229, + "epoch": 5.842158345940494, + "grad_norm": 1.21875, + "learning_rate": 0.00024817005650158345, + "loss": 4.7832, + "mean_token_accuracy": 0.20846178829669954, + "num_tokens": 12794756.0, + "step": 5795 + }, + { + "entropy": 5.333470296859741, + "epoch": 5.8472012102874436, + "grad_norm": 1.203125, + "learning_rate": 0.00024777626288774473, + "loss": 4.7694, + "mean_token_accuracy": 0.20354427844285966, + "num_tokens": 12807748.0, + "step": 5800 + }, + { + "entropy": 5.330673408508301, + "epoch": 5.852244074634393, + "grad_norm": 1.328125, + "learning_rate": 0.0002473825538859091, + "loss": 4.7809, + "mean_token_accuracy": 0.20519086122512817, + "num_tokens": 12818642.0, + "step": 5805 + }, + { + "entropy": 5.362842655181884, + "epoch": 5.857286938981342, + "grad_norm": 1.2734375, + "learning_rate": 0.0002469889307197331, + "loss": 4.7522, + "mean_token_accuracy": 0.2019769474864006, + "num_tokens": 12830873.0, + "step": 5810 + }, + { + "entropy": 5.417681550979614, + "epoch": 5.86232980332829, + "grad_norm": 1.28125, + "learning_rate": 0.0002465953946126065, + "loss": 4.8827, + "mean_token_accuracy": 0.19947465062141417, + "num_tokens": 12842545.0, + "step": 5815 + }, + { + "entropy": 5.452762079238892, + "epoch": 5.867372667675239, + "grad_norm": 1.390625, + "learning_rate": 0.00024620194678764875, + "loss": 4.8285, + "mean_token_accuracy": 0.20198632925748825, + "num_tokens": 12853398.0, + "step": 5820 + }, + { + "entropy": 5.382379150390625, + "epoch": 5.872415532022188, + "grad_norm": 1.2578125, + "learning_rate": 0.0002458085884677046, + "loss": 4.7487, + "mean_token_accuracy": 0.20454103201627732, + "num_tokens": 12865637.0, + "step": 5825 + }, + { + "entropy": 5.35223274230957, + "epoch": 5.877458396369137, + "grad_norm": 1.1875, + "learning_rate": 0.00024541532087534097, + "loss": 4.7892, + "mean_token_accuracy": 0.20246104747056962, + "num_tokens": 12877055.0, + "step": 5830 + }, + { + "entropy": 5.314401578903198, + "epoch": 5.8825012607160865, + "grad_norm": 1.546875, + "learning_rate": 0.0002450221452328424, + "loss": 4.6618, + "mean_token_accuracy": 0.21492190062999725, + "num_tokens": 12887609.0, + "step": 5835 + }, + { + "entropy": 5.378951358795166, + "epoch": 5.887544125063036, + "grad_norm": 1.421875, + "learning_rate": 0.00024462906276220814, + "loss": 4.7694, + "mean_token_accuracy": 0.20678590536117553, + "num_tokens": 12898327.0, + "step": 5840 + }, + { + "entropy": 5.352730464935303, + "epoch": 5.892586989409985, + "grad_norm": 1.265625, + "learning_rate": 0.0002442360746851473, + "loss": 4.8597, + "mean_token_accuracy": 0.19703632742166519, + "num_tokens": 12909837.0, + "step": 5845 + }, + { + "entropy": 5.38573989868164, + "epoch": 5.897629853756934, + "grad_norm": 1.140625, + "learning_rate": 0.00024384318222307605, + "loss": 4.8392, + "mean_token_accuracy": 0.2016778990626335, + "num_tokens": 12921386.0, + "step": 5850 + }, + { + "entropy": 5.345422220230103, + "epoch": 5.902672718103883, + "grad_norm": 1.390625, + "learning_rate": 0.0002434503865971131, + "loss": 4.7784, + "mean_token_accuracy": 0.21095688492059708, + "num_tokens": 12932099.0, + "step": 5855 + }, + { + "entropy": 5.382601737976074, + "epoch": 5.907715582450832, + "grad_norm": 1.203125, + "learning_rate": 0.0002430576890280765, + "loss": 4.8036, + "mean_token_accuracy": 0.20520464032888414, + "num_tokens": 12944151.0, + "step": 5860 + }, + { + "entropy": 5.406586980819702, + "epoch": 5.912758446797781, + "grad_norm": 1.2265625, + "learning_rate": 0.00024266509073647913, + "loss": 4.8275, + "mean_token_accuracy": 0.2021748811006546, + "num_tokens": 12956399.0, + "step": 5865 + }, + { + "entropy": 5.408793163299561, + "epoch": 5.91780131114473, + "grad_norm": 1.171875, + "learning_rate": 0.00024227259294252578, + "loss": 4.8454, + "mean_token_accuracy": 0.2002648815512657, + "num_tokens": 12968332.0, + "step": 5870 + }, + { + "entropy": 5.366849565505982, + "epoch": 5.922844175491679, + "grad_norm": 1.203125, + "learning_rate": 0.0002418801968661084, + "loss": 4.7667, + "mean_token_accuracy": 0.20432819426059723, + "num_tokens": 12979647.0, + "step": 5875 + }, + { + "entropy": 5.388034963607788, + "epoch": 5.9278870398386285, + "grad_norm": 1.1015625, + "learning_rate": 0.00024148790372680324, + "loss": 4.8368, + "mean_token_accuracy": 0.1974472373723984, + "num_tokens": 12992115.0, + "step": 5880 + }, + { + "entropy": 5.358849620819091, + "epoch": 5.932929904185578, + "grad_norm": 1.3046875, + "learning_rate": 0.00024109571474386631, + "loss": 4.6664, + "mean_token_accuracy": 0.21497285068035127, + "num_tokens": 13002611.0, + "step": 5885 + }, + { + "entropy": 5.371519708633423, + "epoch": 5.937972768532527, + "grad_norm": 1.421875, + "learning_rate": 0.00024070363113623018, + "loss": 4.7082, + "mean_token_accuracy": 0.21265474408864976, + "num_tokens": 13013510.0, + "step": 5890 + }, + { + "entropy": 5.40354437828064, + "epoch": 5.943015632879476, + "grad_norm": 1.3359375, + "learning_rate": 0.00024031165412249938, + "loss": 4.8571, + "mean_token_accuracy": 0.19604741930961608, + "num_tokens": 13025962.0, + "step": 5895 + }, + { + "entropy": 5.315206623077392, + "epoch": 5.948058497226425, + "grad_norm": 1.421875, + "learning_rate": 0.000239919784920948, + "loss": 4.7802, + "mean_token_accuracy": 0.2017505183815956, + "num_tokens": 13036751.0, + "step": 5900 + }, + { + "entropy": 5.318692922592163, + "epoch": 5.953101361573374, + "grad_norm": 1.2421875, + "learning_rate": 0.00023952802474951418, + "loss": 4.7549, + "mean_token_accuracy": 0.20791540592908858, + "num_tokens": 13048302.0, + "step": 5905 + }, + { + "entropy": 5.40013747215271, + "epoch": 5.958144225920323, + "grad_norm": 1.140625, + "learning_rate": 0.00023913637482579774, + "loss": 4.8031, + "mean_token_accuracy": 0.2007676437497139, + "num_tokens": 13059879.0, + "step": 5910 + }, + { + "entropy": 5.39221043586731, + "epoch": 5.9631870902672715, + "grad_norm": 1.34375, + "learning_rate": 0.00023874483636705563, + "loss": 4.7488, + "mean_token_accuracy": 0.20411685705184937, + "num_tokens": 13071540.0, + "step": 5915 + }, + { + "entropy": 5.358206176757813, + "epoch": 5.968229954614221, + "grad_norm": 1.3046875, + "learning_rate": 0.00023835341059019838, + "loss": 4.7673, + "mean_token_accuracy": 0.2024170696735382, + "num_tokens": 13082981.0, + "step": 5920 + }, + { + "entropy": 5.371860218048096, + "epoch": 5.97327281896117, + "grad_norm": 1.25, + "learning_rate": 0.00023796209871178642, + "loss": 4.7424, + "mean_token_accuracy": 0.20808600932359694, + "num_tokens": 13092669.0, + "step": 5925 + }, + { + "entropy": 5.33985652923584, + "epoch": 5.978315683308119, + "grad_norm": 1.3671875, + "learning_rate": 0.00023757090194802605, + "loss": 4.807, + "mean_token_accuracy": 0.20043543875217437, + "num_tokens": 13104081.0, + "step": 5930 + }, + { + "entropy": 5.336535930633545, + "epoch": 5.983358547655068, + "grad_norm": 1.3984375, + "learning_rate": 0.00023717982151476592, + "loss": 4.8211, + "mean_token_accuracy": 0.20272261053323745, + "num_tokens": 13115068.0, + "step": 5935 + }, + { + "entropy": 5.359402418136597, + "epoch": 5.988401412002017, + "grad_norm": 1.375, + "learning_rate": 0.00023678885862749282, + "loss": 4.7476, + "mean_token_accuracy": 0.2031234934926033, + "num_tokens": 13125930.0, + "step": 5940 + }, + { + "entropy": 5.453249120712281, + "epoch": 5.993444276348966, + "grad_norm": 1.1796875, + "learning_rate": 0.00023639801450132863, + "loss": 4.8517, + "mean_token_accuracy": 0.2007930040359497, + "num_tokens": 13137487.0, + "step": 5945 + }, + { + "entropy": 5.37138524055481, + "epoch": 5.998487140695915, + "grad_norm": 1.4765625, + "learning_rate": 0.00023600729035102585, + "loss": 4.6566, + "mean_token_accuracy": 0.21346824765205383, + "num_tokens": 13147542.0, + "step": 5950 + }, + { + "entropy": 5.359211126963298, + "epoch": 6.0030257186081695, + "grad_norm": 1.296875, + "learning_rate": 0.0002356166873909642, + "loss": 4.6838, + "mean_token_accuracy": 0.2145542949438095, + "num_tokens": 13156473.0, + "step": 5955 + }, + { + "entropy": 5.336161470413208, + "epoch": 6.008068582955119, + "grad_norm": 1.3125, + "learning_rate": 0.00023522620683514645, + "loss": 4.6062, + "mean_token_accuracy": 0.2217238202691078, + "num_tokens": 13167225.0, + "step": 5960 + }, + { + "entropy": 5.365195655822754, + "epoch": 6.013111447302068, + "grad_norm": 1.5703125, + "learning_rate": 0.00023483584989719553, + "loss": 4.5606, + "mean_token_accuracy": 0.220480115711689, + "num_tokens": 13178034.0, + "step": 5965 + }, + { + "entropy": 5.463253307342529, + "epoch": 6.018154311649017, + "grad_norm": 1.28125, + "learning_rate": 0.00023444561779034957, + "loss": 4.7097, + "mean_token_accuracy": 0.21369642317295073, + "num_tokens": 13189610.0, + "step": 5970 + }, + { + "entropy": 5.399715805053711, + "epoch": 6.023197175995966, + "grad_norm": 1.1328125, + "learning_rate": 0.00023405551172745904, + "loss": 4.6941, + "mean_token_accuracy": 0.21796804219484328, + "num_tokens": 13201392.0, + "step": 5975 + }, + { + "entropy": 5.376670169830322, + "epoch": 6.028240040342915, + "grad_norm": 1.21875, + "learning_rate": 0.00023366553292098247, + "loss": 4.6309, + "mean_token_accuracy": 0.22139676958322524, + "num_tokens": 13213125.0, + "step": 5980 + }, + { + "entropy": 5.390435981750488, + "epoch": 6.033282904689864, + "grad_norm": 1.203125, + "learning_rate": 0.0002332756825829832, + "loss": 4.6585, + "mean_token_accuracy": 0.21771981567144394, + "num_tokens": 13224287.0, + "step": 5985 + }, + { + "entropy": 5.368021631240845, + "epoch": 6.038325769036813, + "grad_norm": 1.4140625, + "learning_rate": 0.0002328859619251249, + "loss": 4.6452, + "mean_token_accuracy": 0.2108944609761238, + "num_tokens": 13234035.0, + "step": 5990 + }, + { + "entropy": 5.319368362426758, + "epoch": 6.043368633383762, + "grad_norm": 1.1953125, + "learning_rate": 0.00023249637215866847, + "loss": 4.5883, + "mean_token_accuracy": 0.22029249966144562, + "num_tokens": 13245029.0, + "step": 5995 + }, + { + "entropy": 5.3847626686096195, + "epoch": 6.048411497730711, + "grad_norm": 1.1796875, + "learning_rate": 0.0002321069144944678, + "loss": 4.7143, + "mean_token_accuracy": 0.2131657525897026, + "num_tokens": 13256844.0, + "step": 6000 + }, + { + "epoch": 6.048411497730711, + "eval_entropy": 5.204124319644374, + "eval_loss": 5.655833721160889, + "eval_mean_token_accuracy": 0.15606892571497813, + "eval_num_tokens": 13256844.0, + "eval_runtime": 2.0456, + "eval_samples_per_second": 1534.049, + "eval_steps_per_second": 192.123, + "step": 6000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3279894447237120.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-6000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-7000/added_tokens.json b/checkpoint-7000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-7000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7000/model.safetensors b/checkpoint-7000/model.safetensors new file mode 100644 index 0000000..0de59c9 --- /dev/null +++ b/checkpoint-7000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28c1d8e47e0d141409490f7299e9ea9879fff568fe8a03ec3bea5d544476b8be +size 78179408 diff --git a/checkpoint-7000/rng_state.pth b/checkpoint-7000/rng_state.pth new file mode 100644 index 0000000..7858b94 --- /dev/null +++ b/checkpoint-7000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b8ac59a9051bfa29edeac8c2b3838bfa29fc3ffe6b39691accfb5a036d073fe +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-7000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..e984acc --- /dev/null +++ b/checkpoint-7000/trainer_state.json @@ -0,0 +1,14111 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.056480080685829, + "eval_steps": 1000, + "global_step": 7000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + }, + { + "entropy": 5.507882356643677, + "epoch": 4.0373171961674235, + "grad_norm": 1.2890625, + "learning_rate": 0.0003851560183515953, + "loss": 4.9006, + "mean_token_accuracy": 0.19513047337532044, + "num_tokens": 8846883.0, + "step": 4005 + }, + { + "entropy": 5.636105680465699, + "epoch": 4.042360060514373, + "grad_norm": 1.140625, + "learning_rate": 0.000384809971843246, + "loss": 5.0285, + "mean_token_accuracy": 0.18483300358057023, + "num_tokens": 8857592.0, + "step": 4010 + }, + { + "entropy": 5.475295829772949, + "epoch": 4.047402924861321, + "grad_norm": 1.09375, + "learning_rate": 0.000384463584042971, + "loss": 4.8952, + "mean_token_accuracy": 0.19550566673278807, + "num_tokens": 8868527.0, + "step": 4015 + }, + { + "entropy": 5.454197931289673, + "epoch": 4.05244578920827, + "grad_norm": 1.1640625, + "learning_rate": 0.00038411685602735175, + "loss": 4.9249, + "mean_token_accuracy": 0.1891388326883316, + "num_tokens": 8879416.0, + "step": 4020 + }, + { + "entropy": 5.4192150115966795, + "epoch": 4.057488653555219, + "grad_norm": 1.140625, + "learning_rate": 0.00038376978887402687, + "loss": 4.9098, + "mean_token_accuracy": 0.19191017746925354, + "num_tokens": 8889452.0, + "step": 4025 + }, + { + "entropy": 5.370370864868164, + "epoch": 4.062531517902168, + "grad_norm": 1.0625, + "learning_rate": 0.0003834223836616891, + "loss": 4.7748, + "mean_token_accuracy": 0.19761549085378646, + "num_tokens": 8900447.0, + "step": 4030 + }, + { + "entropy": 5.534723281860352, + "epoch": 4.067574382249117, + "grad_norm": 1.1328125, + "learning_rate": 0.00038307464147008176, + "loss": 4.9709, + "mean_token_accuracy": 0.18329481780529022, + "num_tokens": 8911298.0, + "step": 4035 + }, + { + "entropy": 5.439350223541259, + "epoch": 4.072617246596066, + "grad_norm": 1.15625, + "learning_rate": 0.0003827265633799957, + "loss": 4.9157, + "mean_token_accuracy": 0.1890334367752075, + "num_tokens": 8922279.0, + "step": 4040 + }, + { + "entropy": 5.486150932312012, + "epoch": 4.0776601109430155, + "grad_norm": 1.1875, + "learning_rate": 0.0003823781504732657, + "loss": 4.9313, + "mean_token_accuracy": 0.18667482137680053, + "num_tokens": 8934780.0, + "step": 4045 + }, + { + "entropy": 5.514814758300782, + "epoch": 4.082702975289965, + "grad_norm": 1.1484375, + "learning_rate": 0.0003820294038327669, + "loss": 4.8954, + "mean_token_accuracy": 0.1852332517504692, + "num_tokens": 8946114.0, + "step": 4050 + }, + { + "entropy": 5.417545366287231, + "epoch": 4.087745839636914, + "grad_norm": 1.015625, + "learning_rate": 0.0003816803245424121, + "loss": 4.8903, + "mean_token_accuracy": 0.19420945197343825, + "num_tokens": 8957830.0, + "step": 4055 + }, + { + "entropy": 5.4529143333435055, + "epoch": 4.092788703983863, + "grad_norm": 1.15625, + "learning_rate": 0.0003813309136871478, + "loss": 4.9542, + "mean_token_accuracy": 0.19547271430492402, + "num_tokens": 8968312.0, + "step": 4060 + }, + { + "entropy": 5.488467979431152, + "epoch": 4.097831568330812, + "grad_norm": 1.125, + "learning_rate": 0.00038098117235295083, + "loss": 4.8996, + "mean_token_accuracy": 0.1928773194551468, + "num_tokens": 8979502.0, + "step": 4065 + }, + { + "entropy": 5.448248672485351, + "epoch": 4.102874432677761, + "grad_norm": 1.078125, + "learning_rate": 0.0003806311016268254, + "loss": 4.9214, + "mean_token_accuracy": 0.18985837399959565, + "num_tokens": 8991934.0, + "step": 4070 + }, + { + "entropy": 5.45822057723999, + "epoch": 4.10791729702471, + "grad_norm": 1.234375, + "learning_rate": 0.0003802807025967995, + "loss": 4.8492, + "mean_token_accuracy": 0.1978401616215706, + "num_tokens": 9001669.0, + "step": 4075 + }, + { + "entropy": 5.462690544128418, + "epoch": 4.112960161371659, + "grad_norm": 1.3671875, + "learning_rate": 0.0003799299763519213, + "loss": 4.9006, + "mean_token_accuracy": 0.19447372406721114, + "num_tokens": 9011904.0, + "step": 4080 + }, + { + "entropy": 5.428786897659302, + "epoch": 4.118003025718608, + "grad_norm": 1.0859375, + "learning_rate": 0.0003795789239822561, + "loss": 4.91, + "mean_token_accuracy": 0.18757592886686325, + "num_tokens": 9023024.0, + "step": 4085 + }, + { + "entropy": 5.474789571762085, + "epoch": 4.1230458900655576, + "grad_norm": 1.109375, + "learning_rate": 0.0003792275465788826, + "loss": 5.0288, + "mean_token_accuracy": 0.18281726986169816, + "num_tokens": 9035721.0, + "step": 4090 + }, + { + "entropy": 5.549254083633423, + "epoch": 4.128088754412507, + "grad_norm": 1.171875, + "learning_rate": 0.00037887584523389013, + "loss": 4.9429, + "mean_token_accuracy": 0.1963011309504509, + "num_tokens": 9046541.0, + "step": 4095 + }, + { + "entropy": 5.51261191368103, + "epoch": 4.133131618759456, + "grad_norm": 1.28125, + "learning_rate": 0.00037852382104037454, + "loss": 4.9209, + "mean_token_accuracy": 0.1832383990287781, + "num_tokens": 9057696.0, + "step": 4100 + }, + { + "entropy": 5.49119758605957, + "epoch": 4.138174483106404, + "grad_norm": 1.34375, + "learning_rate": 0.00037817147509243497, + "loss": 5.0707, + "mean_token_accuracy": 0.18049182891845703, + "num_tokens": 9070737.0, + "step": 4105 + }, + { + "entropy": 5.50582594871521, + "epoch": 4.143217347453353, + "grad_norm": 1.25, + "learning_rate": 0.0003778188084851709, + "loss": 4.935, + "mean_token_accuracy": 0.19351411312818528, + "num_tokens": 9081582.0, + "step": 4110 + }, + { + "entropy": 5.539880180358887, + "epoch": 4.148260211800302, + "grad_norm": 1.1953125, + "learning_rate": 0.00037746582231467816, + "loss": 5.0069, + "mean_token_accuracy": 0.18012915998697282, + "num_tokens": 9092571.0, + "step": 4115 + }, + { + "entropy": 5.47385425567627, + "epoch": 4.153303076147251, + "grad_norm": 1.234375, + "learning_rate": 0.0003771125176780461, + "loss": 4.9757, + "mean_token_accuracy": 0.18279217034578324, + "num_tokens": 9103172.0, + "step": 4120 + }, + { + "entropy": 5.495398378372192, + "epoch": 4.1583459404942005, + "grad_norm": 1.078125, + "learning_rate": 0.00037675889567335345, + "loss": 4.9165, + "mean_token_accuracy": 0.18877640664577483, + "num_tokens": 9114407.0, + "step": 4125 + }, + { + "entropy": 5.4332798480987545, + "epoch": 4.16338880484115, + "grad_norm": 1.015625, + "learning_rate": 0.00037640495739966573, + "loss": 4.871, + "mean_token_accuracy": 0.19287270307540894, + "num_tokens": 9126175.0, + "step": 4130 + }, + { + "entropy": 5.474513959884644, + "epoch": 4.168431669188099, + "grad_norm": 1.09375, + "learning_rate": 0.00037605070395703124, + "loss": 5.0226, + "mean_token_accuracy": 0.18439341336488724, + "num_tokens": 9139046.0, + "step": 4135 + }, + { + "entropy": 5.486795473098755, + "epoch": 4.173474533535048, + "grad_norm": 1.328125, + "learning_rate": 0.00037569613644647783, + "loss": 4.9218, + "mean_token_accuracy": 0.1871136710047722, + "num_tokens": 9150413.0, + "step": 4140 + }, + { + "entropy": 5.5463550090789795, + "epoch": 4.178517397881997, + "grad_norm": 1.109375, + "learning_rate": 0.0003753412559700094, + "loss": 4.9098, + "mean_token_accuracy": 0.1975122556090355, + "num_tokens": 9161831.0, + "step": 4145 + }, + { + "entropy": 5.437201404571534, + "epoch": 4.183560262228946, + "grad_norm": 1.234375, + "learning_rate": 0.00037498606363060285, + "loss": 4.9258, + "mean_token_accuracy": 0.1963041603565216, + "num_tokens": 9172381.0, + "step": 4150 + }, + { + "entropy": 5.364158773422242, + "epoch": 4.188603126575895, + "grad_norm": 1.1953125, + "learning_rate": 0.0003746305605322041, + "loss": 4.8546, + "mean_token_accuracy": 0.19601071029901504, + "num_tokens": 9182212.0, + "step": 4155 + }, + { + "entropy": 5.442264175415039, + "epoch": 4.193645990922844, + "grad_norm": 1.2734375, + "learning_rate": 0.00037427474777972477, + "loss": 4.9478, + "mean_token_accuracy": 0.19168211966753007, + "num_tokens": 9192207.0, + "step": 4160 + }, + { + "entropy": 5.51265287399292, + "epoch": 4.198688855269793, + "grad_norm": 1.140625, + "learning_rate": 0.00037391862647903943, + "loss": 4.9895, + "mean_token_accuracy": 0.18737609982490538, + "num_tokens": 9203693.0, + "step": 4165 + }, + { + "entropy": 5.489502048492431, + "epoch": 4.2037317196167425, + "grad_norm": 1.0859375, + "learning_rate": 0.00037356219773698106, + "loss": 4.93, + "mean_token_accuracy": 0.19232701063156127, + "num_tokens": 9215201.0, + "step": 4170 + }, + { + "entropy": 5.35007643699646, + "epoch": 4.208774583963692, + "grad_norm": 1.28125, + "learning_rate": 0.00037320546266133854, + "loss": 4.8919, + "mean_token_accuracy": 0.18937314301729202, + "num_tokens": 9227705.0, + "step": 4175 + }, + { + "entropy": 5.513562440872192, + "epoch": 4.213817448310641, + "grad_norm": 1.09375, + "learning_rate": 0.0003728484223608526, + "loss": 5.0298, + "mean_token_accuracy": 0.19036928117275237, + "num_tokens": 9238372.0, + "step": 4180 + }, + { + "entropy": 5.479854774475098, + "epoch": 4.21886031265759, + "grad_norm": 1.0859375, + "learning_rate": 0.00037249107794521286, + "loss": 4.9577, + "mean_token_accuracy": 0.18163685202598573, + "num_tokens": 9250303.0, + "step": 4185 + }, + { + "entropy": 5.421753692626953, + "epoch": 4.223903177004539, + "grad_norm": 1.234375, + "learning_rate": 0.00037213343052505394, + "loss": 5.0321, + "mean_token_accuracy": 0.18563628941774368, + "num_tokens": 9261750.0, + "step": 4190 + }, + { + "entropy": 5.509016704559326, + "epoch": 4.228946041351487, + "grad_norm": 1.0234375, + "learning_rate": 0.0003717754812119523, + "loss": 4.9431, + "mean_token_accuracy": 0.19167808294296265, + "num_tokens": 9273808.0, + "step": 4195 + }, + { + "entropy": 5.454015445709229, + "epoch": 4.233988905698436, + "grad_norm": 1.1171875, + "learning_rate": 0.0003714172311184226, + "loss": 4.9408, + "mean_token_accuracy": 0.18980903923511505, + "num_tokens": 9285099.0, + "step": 4200 + }, + { + "entropy": 5.498741102218628, + "epoch": 4.2390317700453854, + "grad_norm": 1.171875, + "learning_rate": 0.0003710586813579144, + "loss": 5.0256, + "mean_token_accuracy": 0.18340314030647278, + "num_tokens": 9295513.0, + "step": 4205 + }, + { + "entropy": 5.5043713569641115, + "epoch": 4.244074634392335, + "grad_norm": 1.2890625, + "learning_rate": 0.00037069983304480875, + "loss": 5.0181, + "mean_token_accuracy": 0.17525929361581802, + "num_tokens": 9307243.0, + "step": 4210 + }, + { + "entropy": 5.41992335319519, + "epoch": 4.249117498739284, + "grad_norm": 1.21875, + "learning_rate": 0.0003703406872944144, + "loss": 4.9652, + "mean_token_accuracy": 0.1928505852818489, + "num_tokens": 9319289.0, + "step": 4215 + }, + { + "entropy": 5.529471921920776, + "epoch": 4.254160363086233, + "grad_norm": 1.1171875, + "learning_rate": 0.0003699812452229645, + "loss": 5.0786, + "mean_token_accuracy": 0.1831396237015724, + "num_tokens": 9332273.0, + "step": 4220 + }, + { + "entropy": 5.502027702331543, + "epoch": 4.259203227433182, + "grad_norm": 1.3046875, + "learning_rate": 0.00036962150794761354, + "loss": 4.9647, + "mean_token_accuracy": 0.18839758336544038, + "num_tokens": 9343703.0, + "step": 4225 + }, + { + "entropy": 5.409524011611938, + "epoch": 4.264246091780131, + "grad_norm": 1.078125, + "learning_rate": 0.0003692614765864331, + "loss": 4.9535, + "mean_token_accuracy": 0.18380556404590606, + "num_tokens": 9355371.0, + "step": 4230 + }, + { + "entropy": 5.415918779373169, + "epoch": 4.26928895612708, + "grad_norm": 1.0703125, + "learning_rate": 0.00036890115225840904, + "loss": 4.9783, + "mean_token_accuracy": 0.18282967656850815, + "num_tokens": 9367337.0, + "step": 4235 + }, + { + "entropy": 5.495303773880005, + "epoch": 4.274331820474029, + "grad_norm": 1.203125, + "learning_rate": 0.0003685405360834376, + "loss": 4.9964, + "mean_token_accuracy": 0.1882554829120636, + "num_tokens": 9378613.0, + "step": 4240 + }, + { + "entropy": 5.522206258773804, + "epoch": 4.279374684820978, + "grad_norm": 1.09375, + "learning_rate": 0.00036817962918232234, + "loss": 4.9605, + "mean_token_accuracy": 0.18544823825359344, + "num_tokens": 9390576.0, + "step": 4245 + }, + { + "entropy": 5.513616561889648, + "epoch": 4.2844175491679275, + "grad_norm": 1.2734375, + "learning_rate": 0.00036781843267677, + "loss": 4.9929, + "mean_token_accuracy": 0.1839417487382889, + "num_tokens": 9401828.0, + "step": 4250 + }, + { + "entropy": 5.4544768810272215, + "epoch": 4.289460413514877, + "grad_norm": 1.1171875, + "learning_rate": 0.0003674569476893878, + "loss": 4.9674, + "mean_token_accuracy": 0.18869195580482484, + "num_tokens": 9414065.0, + "step": 4255 + }, + { + "entropy": 5.501214170455933, + "epoch": 4.294503277861826, + "grad_norm": 1.28125, + "learning_rate": 0.0003670951753436794, + "loss": 4.9991, + "mean_token_accuracy": 0.193516606092453, + "num_tokens": 9425025.0, + "step": 4260 + }, + { + "entropy": 5.451015043258667, + "epoch": 4.299546142208775, + "grad_norm": 1.2265625, + "learning_rate": 0.00036673311676404163, + "loss": 4.9283, + "mean_token_accuracy": 0.1888926148414612, + "num_tokens": 9435562.0, + "step": 4265 + }, + { + "entropy": 5.448048305511475, + "epoch": 4.304589006555724, + "grad_norm": 1.21875, + "learning_rate": 0.0003663707730757608, + "loss": 4.9323, + "mean_token_accuracy": 0.1817737638950348, + "num_tokens": 9445963.0, + "step": 4270 + }, + { + "entropy": 5.42729001045227, + "epoch": 4.309631870902673, + "grad_norm": 1.203125, + "learning_rate": 0.00036600814540500956, + "loss": 4.9144, + "mean_token_accuracy": 0.18806320428848267, + "num_tokens": 9456810.0, + "step": 4275 + }, + { + "entropy": 5.404821681976318, + "epoch": 4.314674735249622, + "grad_norm": 1.359375, + "learning_rate": 0.000365645234878843, + "loss": 4.944, + "mean_token_accuracy": 0.18662286251783372, + "num_tokens": 9466527.0, + "step": 4280 + }, + { + "entropy": 5.460329341888428, + "epoch": 4.31971759959657, + "grad_norm": 1.1796875, + "learning_rate": 0.00036528204262519545, + "loss": 4.9273, + "mean_token_accuracy": 0.19052704572677612, + "num_tokens": 9477770.0, + "step": 4285 + }, + { + "entropy": 5.477109098434449, + "epoch": 4.3247604639435195, + "grad_norm": 1.2109375, + "learning_rate": 0.0003649185697728768, + "loss": 4.9679, + "mean_token_accuracy": 0.1862930953502655, + "num_tokens": 9487723.0, + "step": 4290 + }, + { + "entropy": 5.513242292404175, + "epoch": 4.329803328290469, + "grad_norm": 1.4375, + "learning_rate": 0.00036455481745156906, + "loss": 4.9169, + "mean_token_accuracy": 0.19376833438873292, + "num_tokens": 9497286.0, + "step": 4295 + }, + { + "entropy": 5.3801576614379885, + "epoch": 4.334846192637418, + "grad_norm": 1.078125, + "learning_rate": 0.0003641907867918228, + "loss": 4.8533, + "mean_token_accuracy": 0.1950397878885269, + "num_tokens": 9508535.0, + "step": 4300 + }, + { + "entropy": 5.381755065917969, + "epoch": 4.339889056984367, + "grad_norm": 1.1328125, + "learning_rate": 0.0003638264789250538, + "loss": 4.9355, + "mean_token_accuracy": 0.18968858420848847, + "num_tokens": 9518165.0, + "step": 4305 + }, + { + "entropy": 5.4629909038543705, + "epoch": 4.344931921331316, + "grad_norm": 1.203125, + "learning_rate": 0.00036346189498353914, + "loss": 4.9332, + "mean_token_accuracy": 0.18796923905611038, + "num_tokens": 9528197.0, + "step": 4310 + }, + { + "entropy": 5.469100570678711, + "epoch": 4.349974785678265, + "grad_norm": 1.15625, + "learning_rate": 0.0003630970361004143, + "loss": 4.9514, + "mean_token_accuracy": 0.1987667128443718, + "num_tokens": 9539024.0, + "step": 4315 + }, + { + "entropy": 5.498983573913574, + "epoch": 4.355017650025214, + "grad_norm": 1.2109375, + "learning_rate": 0.0003627319034096691, + "loss": 4.9047, + "mean_token_accuracy": 0.1949477717280388, + "num_tokens": 9548701.0, + "step": 4320 + }, + { + "entropy": 5.3508720874786375, + "epoch": 4.360060514372163, + "grad_norm": 1.375, + "learning_rate": 0.0003623664980461443, + "loss": 4.8769, + "mean_token_accuracy": 0.19532206803560256, + "num_tokens": 9558576.0, + "step": 4325 + }, + { + "entropy": 5.39421124458313, + "epoch": 4.3651033787191125, + "grad_norm": 1.3828125, + "learning_rate": 0.00036200082114552806, + "loss": 4.9565, + "mean_token_accuracy": 0.18533562421798705, + "num_tokens": 9567464.0, + "step": 4330 + }, + { + "entropy": 5.425723648071289, + "epoch": 4.370146243066062, + "grad_norm": 1.3125, + "learning_rate": 0.00036163487384435294, + "loss": 4.8855, + "mean_token_accuracy": 0.19447901099920273, + "num_tokens": 9578011.0, + "step": 4335 + }, + { + "entropy": 5.549548530578614, + "epoch": 4.375189107413011, + "grad_norm": 1.234375, + "learning_rate": 0.0003612686572799914, + "loss": 5.0191, + "mean_token_accuracy": 0.1840487852692604, + "num_tokens": 9589279.0, + "step": 4340 + }, + { + "entropy": 5.472797155380249, + "epoch": 4.38023197175996, + "grad_norm": 1.203125, + "learning_rate": 0.0003609021725906529, + "loss": 4.9258, + "mean_token_accuracy": 0.18987287431955338, + "num_tokens": 9600170.0, + "step": 4345 + }, + { + "entropy": 5.4490509033203125, + "epoch": 4.385274836106909, + "grad_norm": 1.1484375, + "learning_rate": 0.00036053542091538045, + "loss": 4.925, + "mean_token_accuracy": 0.19032368808984756, + "num_tokens": 9611006.0, + "step": 4350 + }, + { + "entropy": 5.473626661300659, + "epoch": 4.390317700453858, + "grad_norm": 1.328125, + "learning_rate": 0.00036016840339404664, + "loss": 5.0008, + "mean_token_accuracy": 0.18587622791528702, + "num_tokens": 9621645.0, + "step": 4355 + }, + { + "entropy": 5.423802852630615, + "epoch": 4.395360564800807, + "grad_norm": 1.078125, + "learning_rate": 0.0003598011211673505, + "loss": 5.016, + "mean_token_accuracy": 0.18200191259384155, + "num_tokens": 9633221.0, + "step": 4360 + }, + { + "entropy": 5.462389421463013, + "epoch": 4.400403429147756, + "grad_norm": 1.28125, + "learning_rate": 0.0003594335753768135, + "loss": 5.0055, + "mean_token_accuracy": 0.1831961914896965, + "num_tokens": 9644616.0, + "step": 4365 + }, + { + "entropy": 5.469020700454712, + "epoch": 4.405446293494705, + "grad_norm": 1.1953125, + "learning_rate": 0.0003590657671647766, + "loss": 4.939, + "mean_token_accuracy": 0.19091181010007857, + "num_tokens": 9656072.0, + "step": 4370 + }, + { + "entropy": 5.4417582035064695, + "epoch": 4.4104891578416545, + "grad_norm": 1.2734375, + "learning_rate": 0.00035869769767439606, + "loss": 4.9764, + "mean_token_accuracy": 0.18057194650173186, + "num_tokens": 9667252.0, + "step": 4375 + }, + { + "entropy": 5.527696800231934, + "epoch": 4.415532022188603, + "grad_norm": 1.1875, + "learning_rate": 0.0003583293680496404, + "loss": 5.0256, + "mean_token_accuracy": 0.18298113197088242, + "num_tokens": 9677810.0, + "step": 4380 + }, + { + "entropy": 5.482815313339233, + "epoch": 4.420574886535552, + "grad_norm": 1.1328125, + "learning_rate": 0.0003579607794352867, + "loss": 4.9634, + "mean_token_accuracy": 0.19282228946685792, + "num_tokens": 9688950.0, + "step": 4385 + }, + { + "entropy": 5.51417818069458, + "epoch": 4.425617750882501, + "grad_norm": 1.265625, + "learning_rate": 0.00035759193297691674, + "loss": 5.0062, + "mean_token_accuracy": 0.1773902341723442, + "num_tokens": 9699961.0, + "step": 4390 + }, + { + "entropy": 5.441384744644165, + "epoch": 4.43066061522945, + "grad_norm": 1.1328125, + "learning_rate": 0.00035722282982091373, + "loss": 4.968, + "mean_token_accuracy": 0.18881333619356155, + "num_tokens": 9711548.0, + "step": 4395 + }, + { + "entropy": 5.4814496517181395, + "epoch": 4.435703479576399, + "grad_norm": 1.390625, + "learning_rate": 0.0003568534711144591, + "loss": 5.0064, + "mean_token_accuracy": 0.19238194972276687, + "num_tokens": 9722237.0, + "step": 4400 + }, + { + "entropy": 5.461666250228882, + "epoch": 4.440746343923348, + "grad_norm": 1.2734375, + "learning_rate": 0.000356483858005528, + "loss": 5.02, + "mean_token_accuracy": 0.18607597798109055, + "num_tokens": 9733654.0, + "step": 4405 + }, + { + "entropy": 5.396451997756958, + "epoch": 4.445789208270297, + "grad_norm": 1.0859375, + "learning_rate": 0.00035611399164288654, + "loss": 4.8687, + "mean_token_accuracy": 0.19753507524728775, + "num_tokens": 9745012.0, + "step": 4410 + }, + { + "entropy": 5.431181240081787, + "epoch": 4.450832072617247, + "grad_norm": 1.1484375, + "learning_rate": 0.0003557438731760879, + "loss": 4.9509, + "mean_token_accuracy": 0.18538981080055236, + "num_tokens": 9755851.0, + "step": 4415 + }, + { + "entropy": 5.40848217010498, + "epoch": 4.455874936964196, + "grad_norm": 1.171875, + "learning_rate": 0.0003553735037554689, + "loss": 4.8793, + "mean_token_accuracy": 0.19078117311000825, + "num_tokens": 9765652.0, + "step": 4420 + }, + { + "entropy": 5.463437080383301, + "epoch": 4.460917801311145, + "grad_norm": 1.15625, + "learning_rate": 0.0003550028845321461, + "loss": 4.9528, + "mean_token_accuracy": 0.18317756056785583, + "num_tokens": 9776618.0, + "step": 4425 + }, + { + "entropy": 5.437930488586426, + "epoch": 4.465960665658094, + "grad_norm": 1.3515625, + "learning_rate": 0.0003546320166580127, + "loss": 4.912, + "mean_token_accuracy": 0.18995112627744676, + "num_tokens": 9786523.0, + "step": 4430 + }, + { + "entropy": 5.503436660766601, + "epoch": 4.471003530005043, + "grad_norm": 1.1640625, + "learning_rate": 0.00035426090128573464, + "loss": 4.9902, + "mean_token_accuracy": 0.18866927772760392, + "num_tokens": 9797013.0, + "step": 4435 + }, + { + "entropy": 5.505742359161377, + "epoch": 4.476046394351992, + "grad_norm": 1.109375, + "learning_rate": 0.00035388953956874686, + "loss": 4.978, + "mean_token_accuracy": 0.1855326250195503, + "num_tokens": 9807431.0, + "step": 4440 + }, + { + "entropy": 5.459383773803711, + "epoch": 4.481089258698941, + "grad_norm": 1.328125, + "learning_rate": 0.0003535179326612504, + "loss": 5.0067, + "mean_token_accuracy": 0.18672738820314408, + "num_tokens": 9817560.0, + "step": 4445 + }, + { + "entropy": 5.431673955917359, + "epoch": 4.48613212304589, + "grad_norm": 1.0703125, + "learning_rate": 0.00035314608171820787, + "loss": 4.9291, + "mean_token_accuracy": 0.18797255009412767, + "num_tokens": 9828233.0, + "step": 4450 + }, + { + "entropy": 5.450408601760865, + "epoch": 4.4911749873928395, + "grad_norm": 1.3046875, + "learning_rate": 0.00035277398789534075, + "loss": 4.9298, + "mean_token_accuracy": 0.19417595118284225, + "num_tokens": 9838699.0, + "step": 4455 + }, + { + "entropy": 5.42654972076416, + "epoch": 4.496217851739789, + "grad_norm": 1.203125, + "learning_rate": 0.0003524016523491252, + "loss": 4.9502, + "mean_token_accuracy": 0.1807286635041237, + "num_tokens": 9849635.0, + "step": 4460 + }, + { + "entropy": 5.424818992614746, + "epoch": 4.501260716086737, + "grad_norm": 1.1015625, + "learning_rate": 0.00035202907623678865, + "loss": 4.9072, + "mean_token_accuracy": 0.18710703998804093, + "num_tokens": 9861822.0, + "step": 4465 + }, + { + "entropy": 5.43951678276062, + "epoch": 4.506303580433686, + "grad_norm": 1.171875, + "learning_rate": 0.0003516562607163062, + "loss": 4.9867, + "mean_token_accuracy": 0.18685145676136017, + "num_tokens": 9872341.0, + "step": 4470 + }, + { + "entropy": 5.522892475128174, + "epoch": 4.511346444780635, + "grad_norm": 1.2265625, + "learning_rate": 0.0003512832069463971, + "loss": 5.009, + "mean_token_accuracy": 0.18200730085372924, + "num_tokens": 9883078.0, + "step": 4475 + }, + { + "entropy": 5.457088470458984, + "epoch": 4.516389309127584, + "grad_norm": 1.109375, + "learning_rate": 0.00035090991608652125, + "loss": 5.0672, + "mean_token_accuracy": 0.18591289818286896, + "num_tokens": 9894688.0, + "step": 4480 + }, + { + "entropy": 5.392157983779907, + "epoch": 4.521432173474533, + "grad_norm": 1.2890625, + "learning_rate": 0.00035053638929687504, + "loss": 4.8778, + "mean_token_accuracy": 0.18869801312685014, + "num_tokens": 9904409.0, + "step": 4485 + }, + { + "entropy": 5.485831022262573, + "epoch": 4.526475037821482, + "grad_norm": 1.140625, + "learning_rate": 0.0003501626277383884, + "loss": 5.0515, + "mean_token_accuracy": 0.1752968832850456, + "num_tokens": 9915204.0, + "step": 4490 + }, + { + "entropy": 5.5224214553833, + "epoch": 4.5315179021684315, + "grad_norm": 1.2734375, + "learning_rate": 0.000349788632572721, + "loss": 4.9806, + "mean_token_accuracy": 0.18406761437654495, + "num_tokens": 9927354.0, + "step": 4495 + }, + { + "entropy": 5.412999963760376, + "epoch": 4.536560766515381, + "grad_norm": 1.296875, + "learning_rate": 0.0003494144049622582, + "loss": 4.902, + "mean_token_accuracy": 0.1886482670903206, + "num_tokens": 9939009.0, + "step": 4500 + }, + { + "entropy": 5.391222190856934, + "epoch": 4.54160363086233, + "grad_norm": 1.2421875, + "learning_rate": 0.0003490399460701083, + "loss": 5.0147, + "mean_token_accuracy": 0.18851865231990814, + "num_tokens": 9950332.0, + "step": 4505 + }, + { + "entropy": 5.448312902450562, + "epoch": 4.546646495209279, + "grad_norm": 1.1484375, + "learning_rate": 0.000348665257060098, + "loss": 4.922, + "mean_token_accuracy": 0.1947105810046196, + "num_tokens": 9961206.0, + "step": 4510 + }, + { + "entropy": 5.484153413772583, + "epoch": 4.551689359556228, + "grad_norm": 1.2109375, + "learning_rate": 0.0003482903390967695, + "loss": 4.917, + "mean_token_accuracy": 0.19644837379455565, + "num_tokens": 9972272.0, + "step": 4515 + }, + { + "entropy": 5.377922439575196, + "epoch": 4.556732223903177, + "grad_norm": 1.375, + "learning_rate": 0.00034791519334537635, + "loss": 4.9262, + "mean_token_accuracy": 0.19269737154245375, + "num_tokens": 9982189.0, + "step": 4520 + }, + { + "entropy": 5.377587604522705, + "epoch": 4.561775088250126, + "grad_norm": 1.1953125, + "learning_rate": 0.0003475398209718804, + "loss": 4.8724, + "mean_token_accuracy": 0.1955879732966423, + "num_tokens": 9993122.0, + "step": 4525 + }, + { + "entropy": 5.44607400894165, + "epoch": 4.566817952597075, + "grad_norm": 1.140625, + "learning_rate": 0.0003471642231429475, + "loss": 4.8815, + "mean_token_accuracy": 0.19085957556962968, + "num_tokens": 10004043.0, + "step": 4530 + }, + { + "entropy": 5.408733749389649, + "epoch": 4.5718608169440245, + "grad_norm": 1.21875, + "learning_rate": 0.0003467884010259443, + "loss": 4.8907, + "mean_token_accuracy": 0.19512842446565629, + "num_tokens": 10014042.0, + "step": 4535 + }, + { + "entropy": 5.363145399093628, + "epoch": 4.576903681290974, + "grad_norm": 1.1171875, + "learning_rate": 0.00034641235578893476, + "loss": 4.8653, + "mean_token_accuracy": 0.1962948814034462, + "num_tokens": 10025742.0, + "step": 4540 + }, + { + "entropy": 5.402016878128052, + "epoch": 4.581946545637923, + "grad_norm": 1.2421875, + "learning_rate": 0.0003460360886006761, + "loss": 4.9674, + "mean_token_accuracy": 0.18587110042572022, + "num_tokens": 10036727.0, + "step": 4545 + }, + { + "entropy": 5.4374651432037355, + "epoch": 4.586989409984872, + "grad_norm": 1.1953125, + "learning_rate": 0.00034565960063061534, + "loss": 4.9226, + "mean_token_accuracy": 0.18302160054445266, + "num_tokens": 10047246.0, + "step": 4550 + }, + { + "entropy": 5.398792886734009, + "epoch": 4.592032274331821, + "grad_norm": 1.1015625, + "learning_rate": 0.0003452828930488859, + "loss": 4.9253, + "mean_token_accuracy": 0.1938019722700119, + "num_tokens": 10059750.0, + "step": 4555 + }, + { + "entropy": 5.455434322357178, + "epoch": 4.597075138678769, + "grad_norm": 1.0625, + "learning_rate": 0.00034490596702630355, + "loss": 4.9739, + "mean_token_accuracy": 0.1875145599246025, + "num_tokens": 10071431.0, + "step": 4560 + }, + { + "entropy": 5.463915681838989, + "epoch": 4.602118003025718, + "grad_norm": 1.2578125, + "learning_rate": 0.0003445288237343632, + "loss": 4.9644, + "mean_token_accuracy": 0.18932064026594161, + "num_tokens": 10081567.0, + "step": 4565 + }, + { + "entropy": 5.497029161453247, + "epoch": 4.607160867372667, + "grad_norm": 1.1484375, + "learning_rate": 0.00034415146434523463, + "loss": 5.0002, + "mean_token_accuracy": 0.18606244027614594, + "num_tokens": 10092506.0, + "step": 4570 + }, + { + "entropy": 5.480929279327393, + "epoch": 4.6122037317196165, + "grad_norm": 1.296875, + "learning_rate": 0.00034377389003175984, + "loss": 4.9801, + "mean_token_accuracy": 0.1865699604153633, + "num_tokens": 10103896.0, + "step": 4575 + }, + { + "entropy": 5.372171783447266, + "epoch": 4.617246596066566, + "grad_norm": 1.421875, + "learning_rate": 0.0003433961019674483, + "loss": 4.9572, + "mean_token_accuracy": 0.1918066293001175, + "num_tokens": 10113646.0, + "step": 4580 + }, + { + "entropy": 5.419704341888428, + "epoch": 4.622289460413515, + "grad_norm": 1.109375, + "learning_rate": 0.0003430181013264741, + "loss": 5.0208, + "mean_token_accuracy": 0.1797514334321022, + "num_tokens": 10125097.0, + "step": 4585 + }, + { + "entropy": 5.5000776767730715, + "epoch": 4.627332324760464, + "grad_norm": 1.296875, + "learning_rate": 0.0003426398892836719, + "loss": 4.9718, + "mean_token_accuracy": 0.18807972222566605, + "num_tokens": 10137396.0, + "step": 4590 + }, + { + "entropy": 5.483876419067383, + "epoch": 4.632375189107413, + "grad_norm": 1.171875, + "learning_rate": 0.0003422614670145336, + "loss": 5.0777, + "mean_token_accuracy": 0.18274005502462387, + "num_tokens": 10147483.0, + "step": 4595 + }, + { + "entropy": 5.432821559906006, + "epoch": 4.637418053454362, + "grad_norm": 1.1796875, + "learning_rate": 0.0003418828356952041, + "loss": 4.951, + "mean_token_accuracy": 0.18625150471925736, + "num_tokens": 10159693.0, + "step": 4600 + }, + { + "entropy": 5.431114387512207, + "epoch": 4.642460917801311, + "grad_norm": 1.2109375, + "learning_rate": 0.00034150399650247846, + "loss": 4.84, + "mean_token_accuracy": 0.19102736562490463, + "num_tokens": 10170371.0, + "step": 4605 + }, + { + "entropy": 5.411733675003052, + "epoch": 4.64750378214826, + "grad_norm": 1.2578125, + "learning_rate": 0.00034112495061379764, + "loss": 4.9494, + "mean_token_accuracy": 0.19134079068899154, + "num_tokens": 10181487.0, + "step": 4610 + }, + { + "entropy": 5.41342191696167, + "epoch": 4.652546646495209, + "grad_norm": 1.25, + "learning_rate": 0.00034074569920724483, + "loss": 4.9766, + "mean_token_accuracy": 0.18301253765821457, + "num_tokens": 10193386.0, + "step": 4615 + }, + { + "entropy": 5.498093175888061, + "epoch": 4.6575895108421586, + "grad_norm": 1.1328125, + "learning_rate": 0.0003403662434615423, + "loss": 5.0328, + "mean_token_accuracy": 0.18311253786087037, + "num_tokens": 10205531.0, + "step": 4620 + }, + { + "entropy": 5.456884098052979, + "epoch": 4.662632375189108, + "grad_norm": 1.0703125, + "learning_rate": 0.00033998658455604736, + "loss": 4.9797, + "mean_token_accuracy": 0.18898638486862182, + "num_tokens": 10216586.0, + "step": 4625 + }, + { + "entropy": 5.431148862838745, + "epoch": 4.667675239536057, + "grad_norm": 1.171875, + "learning_rate": 0.00033960672367074827, + "loss": 4.8987, + "mean_token_accuracy": 0.19037448465824128, + "num_tokens": 10227330.0, + "step": 4630 + }, + { + "entropy": 5.440126276016235, + "epoch": 4.672718103883006, + "grad_norm": 1.140625, + "learning_rate": 0.0003392266619862619, + "loss": 5.0402, + "mean_token_accuracy": 0.17827739417552949, + "num_tokens": 10238295.0, + "step": 4635 + }, + { + "entropy": 5.449625444412232, + "epoch": 4.677760968229954, + "grad_norm": 1.2109375, + "learning_rate": 0.0003388464006838284, + "loss": 4.9925, + "mean_token_accuracy": 0.19437420070171357, + "num_tokens": 10249011.0, + "step": 4640 + }, + { + "entropy": 5.503025913238526, + "epoch": 4.682803832576903, + "grad_norm": 1.2265625, + "learning_rate": 0.00033846594094530874, + "loss": 4.9525, + "mean_token_accuracy": 0.18661330491304398, + "num_tokens": 10260986.0, + "step": 4645 + }, + { + "entropy": 5.403000020980835, + "epoch": 4.687846696923852, + "grad_norm": 1.109375, + "learning_rate": 0.0003380852839531806, + "loss": 4.9642, + "mean_token_accuracy": 0.18330392688512803, + "num_tokens": 10271557.0, + "step": 4650 + }, + { + "entropy": 5.465458154678345, + "epoch": 4.6928895612708015, + "grad_norm": 1.265625, + "learning_rate": 0.00033770443089053476, + "loss": 4.9798, + "mean_token_accuracy": 0.18609561026096344, + "num_tokens": 10281458.0, + "step": 4655 + }, + { + "entropy": 5.459237432479858, + "epoch": 4.697932425617751, + "grad_norm": 1.078125, + "learning_rate": 0.00033732338294107116, + "loss": 4.9671, + "mean_token_accuracy": 0.1871896654367447, + "num_tokens": 10293336.0, + "step": 4660 + }, + { + "entropy": 5.432980871200561, + "epoch": 4.7029752899647, + "grad_norm": 1.2734375, + "learning_rate": 0.00033694214128909567, + "loss": 4.9673, + "mean_token_accuracy": 0.18993277698755265, + "num_tokens": 10303633.0, + "step": 4665 + }, + { + "entropy": 5.44464521408081, + "epoch": 4.708018154311649, + "grad_norm": 1.2578125, + "learning_rate": 0.00033656070711951633, + "loss": 4.9845, + "mean_token_accuracy": 0.18049918115139008, + "num_tokens": 10314776.0, + "step": 4670 + }, + { + "entropy": 5.4221460819244385, + "epoch": 4.713061018658598, + "grad_norm": 1.09375, + "learning_rate": 0.0003361790816178391, + "loss": 4.9222, + "mean_token_accuracy": 0.19435497671365737, + "num_tokens": 10325792.0, + "step": 4675 + }, + { + "entropy": 5.3949438571929935, + "epoch": 4.718103883005547, + "grad_norm": 1.21875, + "learning_rate": 0.0003357972659701649, + "loss": 5.0, + "mean_token_accuracy": 0.18047935217618943, + "num_tokens": 10339024.0, + "step": 4680 + }, + { + "entropy": 5.466359615325928, + "epoch": 4.723146747352496, + "grad_norm": 1.2421875, + "learning_rate": 0.00033541526136318564, + "loss": 4.9542, + "mean_token_accuracy": 0.18820637315511704, + "num_tokens": 10349198.0, + "step": 4685 + }, + { + "entropy": 5.476608657836914, + "epoch": 4.728189611699445, + "grad_norm": 1.1328125, + "learning_rate": 0.0003350330689841804, + "loss": 5.047, + "mean_token_accuracy": 0.17754877507686614, + "num_tokens": 10360925.0, + "step": 4690 + }, + { + "entropy": 5.471492719650269, + "epoch": 4.733232476046394, + "grad_norm": 1.25, + "learning_rate": 0.0003346506900210118, + "loss": 4.9786, + "mean_token_accuracy": 0.1891571193933487, + "num_tokens": 10372074.0, + "step": 4695 + }, + { + "entropy": 5.40898289680481, + "epoch": 4.7382753403933435, + "grad_norm": 1.2578125, + "learning_rate": 0.0003342681256621227, + "loss": 4.8793, + "mean_token_accuracy": 0.19103499352931977, + "num_tokens": 10384050.0, + "step": 4700 + }, + { + "entropy": 5.43700852394104, + "epoch": 4.743318204740293, + "grad_norm": 1.203125, + "learning_rate": 0.0003338853770965319, + "loss": 4.9256, + "mean_token_accuracy": 0.18500882834196092, + "num_tokens": 10394466.0, + "step": 4705 + }, + { + "entropy": 5.408495807647705, + "epoch": 4.748361069087242, + "grad_norm": 1.1953125, + "learning_rate": 0.00033350244551383064, + "loss": 4.9981, + "mean_token_accuracy": 0.18811080902814864, + "num_tokens": 10405279.0, + "step": 4710 + }, + { + "entropy": 5.397424650192261, + "epoch": 4.753403933434191, + "grad_norm": 1.1796875, + "learning_rate": 0.0003331193321041793, + "loss": 4.9563, + "mean_token_accuracy": 0.1881820723414421, + "num_tokens": 10417504.0, + "step": 4715 + }, + { + "entropy": 5.425117683410645, + "epoch": 4.75844679778114, + "grad_norm": 1.1015625, + "learning_rate": 0.00033273603805830296, + "loss": 4.9777, + "mean_token_accuracy": 0.18997900187969208, + "num_tokens": 10428824.0, + "step": 4720 + }, + { + "entropy": 5.47361912727356, + "epoch": 4.763489662128089, + "grad_norm": 1.140625, + "learning_rate": 0.00033235256456748847, + "loss": 5.0229, + "mean_token_accuracy": 0.1850911021232605, + "num_tokens": 10440164.0, + "step": 4725 + }, + { + "entropy": 5.507453775405883, + "epoch": 4.768532526475038, + "grad_norm": 1.2578125, + "learning_rate": 0.0003319689128235804, + "loss": 4.9309, + "mean_token_accuracy": 0.19020796716213226, + "num_tokens": 10450216.0, + "step": 4730 + }, + { + "entropy": 5.436894702911377, + "epoch": 4.773575390821987, + "grad_norm": 1.390625, + "learning_rate": 0.00033158508401897707, + "loss": 4.9579, + "mean_token_accuracy": 0.19510447680950166, + "num_tokens": 10461521.0, + "step": 4735 + }, + { + "entropy": 5.441084003448486, + "epoch": 4.778618255168936, + "grad_norm": 1.140625, + "learning_rate": 0.0003312010793466273, + "loss": 5.0663, + "mean_token_accuracy": 0.17662031203508377, + "num_tokens": 10473052.0, + "step": 4740 + }, + { + "entropy": 5.386702537536621, + "epoch": 4.783661119515885, + "grad_norm": 1.2734375, + "learning_rate": 0.0003308169000000265, + "loss": 4.9103, + "mean_token_accuracy": 0.19201598614454268, + "num_tokens": 10483197.0, + "step": 4745 + }, + { + "entropy": 5.4234694480896, + "epoch": 4.788703983862834, + "grad_norm": 1.203125, + "learning_rate": 0.0003304325471732129, + "loss": 4.9217, + "mean_token_accuracy": 0.18737069070339202, + "num_tokens": 10493877.0, + "step": 4750 + }, + { + "entropy": 5.445645141601562, + "epoch": 4.793746848209783, + "grad_norm": 1.09375, + "learning_rate": 0.00033004802206076396, + "loss": 4.9896, + "mean_token_accuracy": 0.1867102414369583, + "num_tokens": 10505457.0, + "step": 4755 + }, + { + "entropy": 5.451334476470947, + "epoch": 4.798789712556732, + "grad_norm": 1.25, + "learning_rate": 0.00032966332585779263, + "loss": 5.0065, + "mean_token_accuracy": 0.18804700821638107, + "num_tokens": 10516746.0, + "step": 4760 + }, + { + "entropy": 5.501697826385498, + "epoch": 4.803832576903681, + "grad_norm": 1.265625, + "learning_rate": 0.00032927845975994356, + "loss": 4.987, + "mean_token_accuracy": 0.18748954087495803, + "num_tokens": 10527879.0, + "step": 4765 + }, + { + "entropy": 5.478173398971558, + "epoch": 4.80887544125063, + "grad_norm": 1.25, + "learning_rate": 0.00032889342496338953, + "loss": 5.043, + "mean_token_accuracy": 0.18037958443164825, + "num_tokens": 10539729.0, + "step": 4770 + }, + { + "entropy": 5.456065368652344, + "epoch": 4.813918305597579, + "grad_norm": 1.1484375, + "learning_rate": 0.0003285082226648273, + "loss": 5.061, + "mean_token_accuracy": 0.18717390894889832, + "num_tokens": 10551343.0, + "step": 4775 + }, + { + "entropy": 5.458584022521973, + "epoch": 4.8189611699445285, + "grad_norm": 1.1875, + "learning_rate": 0.0003281228540614749, + "loss": 4.9506, + "mean_token_accuracy": 0.19011957943439484, + "num_tokens": 10562362.0, + "step": 4780 + }, + { + "entropy": 5.431289768218994, + "epoch": 4.824004034291478, + "grad_norm": 1.1171875, + "learning_rate": 0.00032773732035106657, + "loss": 4.9544, + "mean_token_accuracy": 0.18818462193012236, + "num_tokens": 10574203.0, + "step": 4785 + }, + { + "entropy": 5.452210330963135, + "epoch": 4.829046898638427, + "grad_norm": 1.1796875, + "learning_rate": 0.00032735162273185006, + "loss": 4.9991, + "mean_token_accuracy": 0.17896709591150284, + "num_tokens": 10585732.0, + "step": 4790 + }, + { + "entropy": 5.494658279418945, + "epoch": 4.834089762985376, + "grad_norm": 1.1953125, + "learning_rate": 0.0003269657624025824, + "loss": 5.0101, + "mean_token_accuracy": 0.19213832318782806, + "num_tokens": 10596414.0, + "step": 4795 + }, + { + "entropy": 5.473741817474365, + "epoch": 4.839132627332325, + "grad_norm": 1.03125, + "learning_rate": 0.0003265797405625265, + "loss": 4.947, + "mean_token_accuracy": 0.189757277071476, + "num_tokens": 10608893.0, + "step": 4800 + }, + { + "entropy": 5.353061628341675, + "epoch": 4.844175491679274, + "grad_norm": 1.2421875, + "learning_rate": 0.0003261935584114471, + "loss": 4.869, + "mean_token_accuracy": 0.19499963223934175, + "num_tokens": 10619229.0, + "step": 4805 + }, + { + "entropy": 5.358573865890503, + "epoch": 4.849218356026223, + "grad_norm": 1.0703125, + "learning_rate": 0.0003258072171496072, + "loss": 4.9867, + "mean_token_accuracy": 0.18436321318149568, + "num_tokens": 10630811.0, + "step": 4810 + }, + { + "entropy": 5.45855302810669, + "epoch": 4.854261220373172, + "grad_norm": 1.3203125, + "learning_rate": 0.0003254207179777644, + "loss": 4.9808, + "mean_token_accuracy": 0.19197733849287033, + "num_tokens": 10641191.0, + "step": 4815 + }, + { + "entropy": 5.453788089752197, + "epoch": 4.8593040847201205, + "grad_norm": 1.265625, + "learning_rate": 0.000325034062097167, + "loss": 5.0329, + "mean_token_accuracy": 0.18242633044719697, + "num_tokens": 10652019.0, + "step": 4820 + }, + { + "entropy": 5.456726026535034, + "epoch": 4.86434694906707, + "grad_norm": 1.140625, + "learning_rate": 0.00032464725070955046, + "loss": 5.0328, + "mean_token_accuracy": 0.18062737584114075, + "num_tokens": 10664820.0, + "step": 4825 + }, + { + "entropy": 5.48663558959961, + "epoch": 4.869389813414019, + "grad_norm": 1.296875, + "learning_rate": 0.00032426028501713347, + "loss": 4.9731, + "mean_token_accuracy": 0.18408883810043336, + "num_tokens": 10676343.0, + "step": 4830 + }, + { + "entropy": 5.445742988586426, + "epoch": 4.874432677760968, + "grad_norm": 1.25, + "learning_rate": 0.00032387316622261425, + "loss": 5.0056, + "mean_token_accuracy": 0.18338582515716553, + "num_tokens": 10687464.0, + "step": 4835 + }, + { + "entropy": 5.407337713241577, + "epoch": 4.879475542107917, + "grad_norm": 1.1328125, + "learning_rate": 0.00032348589552916703, + "loss": 4.9456, + "mean_token_accuracy": 0.18678104132413864, + "num_tokens": 10698796.0, + "step": 4840 + }, + { + "entropy": 5.440946578979492, + "epoch": 4.884518406454866, + "grad_norm": 1.21875, + "learning_rate": 0.0003230984741404381, + "loss": 4.9428, + "mean_token_accuracy": 0.18648777455091475, + "num_tokens": 10708759.0, + "step": 4845 + }, + { + "entropy": 5.520267152786255, + "epoch": 4.889561270801815, + "grad_norm": 1.3671875, + "learning_rate": 0.0003227109032605419, + "loss": 4.9954, + "mean_token_accuracy": 0.18635909855365754, + "num_tokens": 10718518.0, + "step": 4850 + }, + { + "entropy": 5.474165201187134, + "epoch": 4.894604135148764, + "grad_norm": 1.171875, + "learning_rate": 0.0003223231840940578, + "loss": 5.0391, + "mean_token_accuracy": 0.18102305382490158, + "num_tokens": 10730091.0, + "step": 4855 + }, + { + "entropy": 5.400430488586426, + "epoch": 4.8996469994957135, + "grad_norm": 1.2578125, + "learning_rate": 0.00032193531784602595, + "loss": 4.9725, + "mean_token_accuracy": 0.18741223067045212, + "num_tokens": 10739664.0, + "step": 4860 + }, + { + "entropy": 5.423764419555664, + "epoch": 4.904689863842663, + "grad_norm": 1.3359375, + "learning_rate": 0.00032154730572194346, + "loss": 4.9291, + "mean_token_accuracy": 0.19145375043153762, + "num_tokens": 10749573.0, + "step": 4865 + }, + { + "entropy": 5.503514146804809, + "epoch": 4.909732728189612, + "grad_norm": 1.2734375, + "learning_rate": 0.000321159148927761, + "loss": 5.0556, + "mean_token_accuracy": 0.18899090141057967, + "num_tokens": 10760455.0, + "step": 4870 + }, + { + "entropy": 5.5097449779510494, + "epoch": 4.914775592536561, + "grad_norm": 1.3125, + "learning_rate": 0.000320770848669879, + "loss": 5.0187, + "mean_token_accuracy": 0.18463164716959, + "num_tokens": 10771845.0, + "step": 4875 + }, + { + "entropy": 5.438835954666137, + "epoch": 4.91981845688351, + "grad_norm": 1.171875, + "learning_rate": 0.00032038240615514345, + "loss": 4.9946, + "mean_token_accuracy": 0.18855448365211486, + "num_tokens": 10783812.0, + "step": 4880 + }, + { + "entropy": 5.403696203231812, + "epoch": 4.924861321230459, + "grad_norm": 1.3125, + "learning_rate": 0.0003199938225908426, + "loss": 4.9135, + "mean_token_accuracy": 0.18758562356233596, + "num_tokens": 10794390.0, + "step": 4885 + }, + { + "entropy": 5.430738544464111, + "epoch": 4.929904185577408, + "grad_norm": 1.140625, + "learning_rate": 0.0003196050991847033, + "loss": 4.9578, + "mean_token_accuracy": 0.18548450171947478, + "num_tokens": 10805521.0, + "step": 4890 + }, + { + "entropy": 5.4192510604858395, + "epoch": 4.934947049924357, + "grad_norm": 1.15625, + "learning_rate": 0.0003192162371448868, + "loss": 4.9664, + "mean_token_accuracy": 0.1857212409377098, + "num_tokens": 10816265.0, + "step": 4895 + }, + { + "entropy": 5.4131299495697025, + "epoch": 4.939989914271306, + "grad_norm": 1.28125, + "learning_rate": 0.00031882723767998517, + "loss": 4.9921, + "mean_token_accuracy": 0.18737585991621017, + "num_tokens": 10826285.0, + "step": 4900 + }, + { + "entropy": 5.41847596168518, + "epoch": 4.9450327786182555, + "grad_norm": 1.2578125, + "learning_rate": 0.00031843810199901795, + "loss": 4.9347, + "mean_token_accuracy": 0.19147606939077377, + "num_tokens": 10836817.0, + "step": 4905 + }, + { + "entropy": 5.45005612373352, + "epoch": 4.950075642965205, + "grad_norm": 1.171875, + "learning_rate": 0.0003180488313114277, + "loss": 4.9638, + "mean_token_accuracy": 0.18842111229896547, + "num_tokens": 10848186.0, + "step": 4910 + }, + { + "entropy": 5.374664354324341, + "epoch": 4.955118507312154, + "grad_norm": 1.234375, + "learning_rate": 0.0003176594268270766, + "loss": 4.9524, + "mean_token_accuracy": 0.19444430619478226, + "num_tokens": 10858851.0, + "step": 4915 + }, + { + "entropy": 5.424822568893433, + "epoch": 4.960161371659103, + "grad_norm": 1.1171875, + "learning_rate": 0.00031726988975624293, + "loss": 4.9957, + "mean_token_accuracy": 0.18679312616586685, + "num_tokens": 10870242.0, + "step": 4920 + }, + { + "entropy": 5.4419248580932615, + "epoch": 4.965204236006051, + "grad_norm": 1.2734375, + "learning_rate": 0.00031688022130961675, + "loss": 4.9299, + "mean_token_accuracy": 0.18993133008480073, + "num_tokens": 10881580.0, + "step": 4925 + }, + { + "entropy": 5.439469051361084, + "epoch": 4.970247100353, + "grad_norm": 1.1484375, + "learning_rate": 0.0003164904226982967, + "loss": 4.9934, + "mean_token_accuracy": 0.19487899541854858, + "num_tokens": 10893140.0, + "step": 4930 + }, + { + "entropy": 5.448909187316895, + "epoch": 4.975289964699949, + "grad_norm": 1.1328125, + "learning_rate": 0.00031610049513378574, + "loss": 4.9945, + "mean_token_accuracy": 0.1908086955547333, + "num_tokens": 10904373.0, + "step": 4935 + }, + { + "entropy": 5.507550525665283, + "epoch": 4.9803328290468984, + "grad_norm": 1.328125, + "learning_rate": 0.00031571043982798786, + "loss": 5.0025, + "mean_token_accuracy": 0.18820565193891525, + "num_tokens": 10914155.0, + "step": 4940 + }, + { + "entropy": 5.516139650344849, + "epoch": 4.985375693393848, + "grad_norm": 1.1796875, + "learning_rate": 0.0003153202579932039, + "loss": 5.009, + "mean_token_accuracy": 0.1866231933236122, + "num_tokens": 10926325.0, + "step": 4945 + }, + { + "entropy": 5.493792581558227, + "epoch": 4.990418557740797, + "grad_norm": 1.15625, + "learning_rate": 0.00031492995084212794, + "loss": 5.0369, + "mean_token_accuracy": 0.18808876425027848, + "num_tokens": 10938799.0, + "step": 4950 + }, + { + "entropy": 5.443079853057862, + "epoch": 4.995461422087746, + "grad_norm": 1.1796875, + "learning_rate": 0.0003145395195878437, + "loss": 4.8587, + "mean_token_accuracy": 0.19427645206451416, + "num_tokens": 10949918.0, + "step": 4955 + }, + { + "entropy": 5.373980893029107, + "epoch": 5.0, + "grad_norm": 2.296875, + "learning_rate": 0.00031414896544382047, + "loss": 4.8479, + "mean_token_accuracy": 0.1932825760708915, + "num_tokens": 10958200.0, + "step": 4960 + }, + { + "entropy": 5.377087545394898, + "epoch": 5.005042864346949, + "grad_norm": 1.1796875, + "learning_rate": 0.0003137582896239095, + "loss": 4.7798, + "mean_token_accuracy": 0.19978601783514022, + "num_tokens": 10969020.0, + "step": 4965 + }, + { + "entropy": 5.3690825462341305, + "epoch": 5.010085728693898, + "grad_norm": 1.1796875, + "learning_rate": 0.0003133674933423404, + "loss": 4.6958, + "mean_token_accuracy": 0.21049367189407348, + "num_tokens": 10978191.0, + "step": 4970 + }, + { + "entropy": 5.39783124923706, + "epoch": 5.015128593040847, + "grad_norm": 1.1171875, + "learning_rate": 0.00031297657781371687, + "loss": 4.769, + "mean_token_accuracy": 0.20987659692764282, + "num_tokens": 10989022.0, + "step": 4975 + }, + { + "entropy": 5.46621470451355, + "epoch": 5.0201714573877965, + "grad_norm": 1.25, + "learning_rate": 0.0003125855442530135, + "loss": 4.8209, + "mean_token_accuracy": 0.20026374459266663, + "num_tokens": 11002727.0, + "step": 4980 + }, + { + "entropy": 5.405496120452881, + "epoch": 5.025214321734746, + "grad_norm": 1.078125, + "learning_rate": 0.00031219439387557155, + "loss": 4.762, + "mean_token_accuracy": 0.2060738682746887, + "num_tokens": 11013723.0, + "step": 4985 + }, + { + "entropy": 5.470185852050781, + "epoch": 5.030257186081695, + "grad_norm": 1.1640625, + "learning_rate": 0.00031180312789709535, + "loss": 4.7332, + "mean_token_accuracy": 0.20676991194486619, + "num_tokens": 11024676.0, + "step": 4990 + }, + { + "entropy": 5.4253129959106445, + "epoch": 5.035300050428644, + "grad_norm": 1.2265625, + "learning_rate": 0.0003114117475336487, + "loss": 4.7794, + "mean_token_accuracy": 0.2019949272274971, + "num_tokens": 11036314.0, + "step": 4995 + }, + { + "entropy": 5.399463033676147, + "epoch": 5.040342914775593, + "grad_norm": 1.3046875, + "learning_rate": 0.0003110202540016509, + "loss": 4.7499, + "mean_token_accuracy": 0.2073090746998787, + "num_tokens": 11046321.0, + "step": 5000 + }, + { + "epoch": 5.040342914775593, + "eval_entropy": 5.259037116708343, + "eval_loss": 5.665579795837402, + "eval_mean_token_accuracy": 0.1547874487538374, + "eval_num_tokens": 11046321.0, + "eval_runtime": 2.0489, + "eval_samples_per_second": 1531.555, + "eval_steps_per_second": 191.81, + "step": 5000 + }, + { + "entropy": 5.422780227661133, + "epoch": 5.045385779122542, + "grad_norm": 1.0546875, + "learning_rate": 0.00031062864851787267, + "loss": 4.7483, + "mean_token_accuracy": 0.20660395473241805, + "num_tokens": 11059021.0, + "step": 5005 + }, + { + "entropy": 5.413686323165893, + "epoch": 5.05042864346949, + "grad_norm": 1.390625, + "learning_rate": 0.00031023693229943294, + "loss": 4.7311, + "mean_token_accuracy": 0.20787329226732254, + "num_tokens": 11069785.0, + "step": 5010 + }, + { + "entropy": 5.442879867553711, + "epoch": 5.055471507816439, + "grad_norm": 1.328125, + "learning_rate": 0.0003098451065637948, + "loss": 4.789, + "mean_token_accuracy": 0.20268239378929137, + "num_tokens": 11079439.0, + "step": 5015 + }, + { + "entropy": 5.377065849304199, + "epoch": 5.0605143721633885, + "grad_norm": 1.2265625, + "learning_rate": 0.00030945317252876163, + "loss": 4.7887, + "mean_token_accuracy": 0.20264918059110643, + "num_tokens": 11089933.0, + "step": 5020 + }, + { + "entropy": 5.395506191253662, + "epoch": 5.065557236510338, + "grad_norm": 1.21875, + "learning_rate": 0.00030906113141247353, + "loss": 4.7127, + "mean_token_accuracy": 0.2048274829983711, + "num_tokens": 11099743.0, + "step": 5025 + }, + { + "entropy": 5.2882936000823975, + "epoch": 5.070600100857287, + "grad_norm": 1.4140625, + "learning_rate": 0.00030866898443340324, + "loss": 4.66, + "mean_token_accuracy": 0.21423418521881105, + "num_tokens": 11109993.0, + "step": 5030 + }, + { + "entropy": 5.454429244995117, + "epoch": 5.075642965204236, + "grad_norm": 1.234375, + "learning_rate": 0.0003082767328103527, + "loss": 4.7316, + "mean_token_accuracy": 0.19962920844554902, + "num_tokens": 11121071.0, + "step": 5035 + }, + { + "entropy": 5.468168592453003, + "epoch": 5.080685829551185, + "grad_norm": 1.34375, + "learning_rate": 0.00030788437776244895, + "loss": 4.707, + "mean_token_accuracy": 0.21180965304374694, + "num_tokens": 11130402.0, + "step": 5040 + }, + { + "entropy": 5.363940095901489, + "epoch": 5.085728693898134, + "grad_norm": 1.1875, + "learning_rate": 0.0003074919205091405, + "loss": 4.815, + "mean_token_accuracy": 0.200840762257576, + "num_tokens": 11141272.0, + "step": 5045 + }, + { + "entropy": 5.448993110656739, + "epoch": 5.090771558245083, + "grad_norm": 1.28125, + "learning_rate": 0.0003070993622701936, + "loss": 4.7531, + "mean_token_accuracy": 0.2033784419298172, + "num_tokens": 11152254.0, + "step": 5050 + }, + { + "entropy": 5.383047008514405, + "epoch": 5.095814422592032, + "grad_norm": 1.4296875, + "learning_rate": 0.00030670670426568837, + "loss": 4.6806, + "mean_token_accuracy": 0.21028010547161102, + "num_tokens": 11162848.0, + "step": 5055 + }, + { + "entropy": 5.356310844421387, + "epoch": 5.100857286938981, + "grad_norm": 1.265625, + "learning_rate": 0.0003063139477160147, + "loss": 4.6863, + "mean_token_accuracy": 0.20928248167037963, + "num_tokens": 11173896.0, + "step": 5060 + }, + { + "entropy": 5.398014307022095, + "epoch": 5.1059001512859306, + "grad_norm": 1.2734375, + "learning_rate": 0.00030592109384186935, + "loss": 4.7307, + "mean_token_accuracy": 0.21019263416528702, + "num_tokens": 11184423.0, + "step": 5065 + }, + { + "entropy": 5.388689661026001, + "epoch": 5.11094301563288, + "grad_norm": 1.3125, + "learning_rate": 0.000305528143864251, + "loss": 4.7624, + "mean_token_accuracy": 0.2092597559094429, + "num_tokens": 11195128.0, + "step": 5070 + }, + { + "entropy": 5.373467206954956, + "epoch": 5.115985879979829, + "grad_norm": 1.28125, + "learning_rate": 0.00030513509900445725, + "loss": 4.7285, + "mean_token_accuracy": 0.21020106822252274, + "num_tokens": 11205628.0, + "step": 5075 + }, + { + "entropy": 5.383992910385132, + "epoch": 5.121028744326778, + "grad_norm": 1.3828125, + "learning_rate": 0.00030474196048408065, + "loss": 4.7651, + "mean_token_accuracy": 0.20403726100921632, + "num_tokens": 11216835.0, + "step": 5080 + }, + { + "entropy": 5.391399335861206, + "epoch": 5.126071608673727, + "grad_norm": 1.4140625, + "learning_rate": 0.0003043487295250049, + "loss": 4.7863, + "mean_token_accuracy": 0.19799292981624603, + "num_tokens": 11228763.0, + "step": 5085 + }, + { + "entropy": 5.366147708892822, + "epoch": 5.131114473020676, + "grad_norm": 1.3203125, + "learning_rate": 0.0003039554073494006, + "loss": 4.7319, + "mean_token_accuracy": 0.21267775297164918, + "num_tokens": 11239432.0, + "step": 5090 + }, + { + "entropy": 5.470732545852661, + "epoch": 5.136157337367624, + "grad_norm": 1.15625, + "learning_rate": 0.0003035619951797224, + "loss": 4.8514, + "mean_token_accuracy": 0.1952908530831337, + "num_tokens": 11249618.0, + "step": 5095 + }, + { + "entropy": 5.432192802429199, + "epoch": 5.1412002017145735, + "grad_norm": 1.234375, + "learning_rate": 0.0003031684942387043, + "loss": 4.7746, + "mean_token_accuracy": 0.2070817768573761, + "num_tokens": 11260359.0, + "step": 5100 + }, + { + "entropy": 5.400609254837036, + "epoch": 5.146243066061523, + "grad_norm": 1.1328125, + "learning_rate": 0.00030277490574935633, + "loss": 4.8143, + "mean_token_accuracy": 0.1999165177345276, + "num_tokens": 11272003.0, + "step": 5105 + }, + { + "entropy": 5.39234561920166, + "epoch": 5.151285930408472, + "grad_norm": 1.1796875, + "learning_rate": 0.0003023812309349605, + "loss": 4.7549, + "mean_token_accuracy": 0.20627606362104417, + "num_tokens": 11283649.0, + "step": 5110 + }, + { + "entropy": 5.5274261951446535, + "epoch": 5.156328794755421, + "grad_norm": 1.1953125, + "learning_rate": 0.0003019874710190674, + "loss": 4.8718, + "mean_token_accuracy": 0.1988748401403427, + "num_tokens": 11295844.0, + "step": 5115 + }, + { + "entropy": 5.449365043640137, + "epoch": 5.16137165910237, + "grad_norm": 1.203125, + "learning_rate": 0.0003015936272254918, + "loss": 4.7737, + "mean_token_accuracy": 0.2059719055891037, + "num_tokens": 11306676.0, + "step": 5120 + }, + { + "entropy": 5.384851932525635, + "epoch": 5.166414523449319, + "grad_norm": 1.234375, + "learning_rate": 0.0003011997007783094, + "loss": 4.7456, + "mean_token_accuracy": 0.20340470224618912, + "num_tokens": 11317801.0, + "step": 5125 + }, + { + "entropy": 5.382043647766113, + "epoch": 5.171457387796268, + "grad_norm": 1.296875, + "learning_rate": 0.0003008056929018525, + "loss": 4.7306, + "mean_token_accuracy": 0.20402662605047225, + "num_tokens": 11327530.0, + "step": 5130 + }, + { + "entropy": 5.5060724258422855, + "epoch": 5.176500252143217, + "grad_norm": 1.3515625, + "learning_rate": 0.00030041160482070686, + "loss": 4.7442, + "mean_token_accuracy": 0.20388694554567338, + "num_tokens": 11338784.0, + "step": 5135 + }, + { + "entropy": 5.406298446655273, + "epoch": 5.181543116490166, + "grad_norm": 1.4765625, + "learning_rate": 0.00030001743775970714, + "loss": 4.7815, + "mean_token_accuracy": 0.20606305152177812, + "num_tokens": 11348666.0, + "step": 5140 + }, + { + "entropy": 5.387162542343139, + "epoch": 5.1865859808371155, + "grad_norm": 1.4140625, + "learning_rate": 0.00029962319294393383, + "loss": 4.73, + "mean_token_accuracy": 0.2070406809449196, + "num_tokens": 11358247.0, + "step": 5145 + }, + { + "entropy": 5.343744802474975, + "epoch": 5.191628845184065, + "grad_norm": 1.4140625, + "learning_rate": 0.0002992288715987088, + "loss": 4.754, + "mean_token_accuracy": 0.20762002915143968, + "num_tokens": 11369897.0, + "step": 5150 + }, + { + "entropy": 5.429714822769165, + "epoch": 5.196671709531014, + "grad_norm": 1.1796875, + "learning_rate": 0.0002988344749495919, + "loss": 4.8356, + "mean_token_accuracy": 0.20064053535461426, + "num_tokens": 11381747.0, + "step": 5155 + }, + { + "entropy": 5.450630521774292, + "epoch": 5.201714573877963, + "grad_norm": 1.1796875, + "learning_rate": 0.00029844000422237714, + "loss": 4.8277, + "mean_token_accuracy": 0.19658990800380707, + "num_tokens": 11393725.0, + "step": 5160 + }, + { + "entropy": 5.3230180740356445, + "epoch": 5.206757438224912, + "grad_norm": 1.3515625, + "learning_rate": 0.00029804546064308854, + "loss": 4.7771, + "mean_token_accuracy": 0.2036718338727951, + "num_tokens": 11405223.0, + "step": 5165 + }, + { + "entropy": 5.4090415954589846, + "epoch": 5.211800302571861, + "grad_norm": 1.1171875, + "learning_rate": 0.00029765084543797657, + "loss": 4.7617, + "mean_token_accuracy": 0.20066658705472945, + "num_tokens": 11416334.0, + "step": 5170 + }, + { + "entropy": 5.387953090667724, + "epoch": 5.21684316691881, + "grad_norm": 1.28125, + "learning_rate": 0.0002972561598335145, + "loss": 4.7496, + "mean_token_accuracy": 0.20192946195602418, + "num_tokens": 11427202.0, + "step": 5175 + }, + { + "entropy": 5.42350058555603, + "epoch": 5.221886031265759, + "grad_norm": 1.2734375, + "learning_rate": 0.0002968614050563943, + "loss": 4.8457, + "mean_token_accuracy": 0.19637791067361832, + "num_tokens": 11438302.0, + "step": 5180 + }, + { + "entropy": 5.411188840866089, + "epoch": 5.2269288956127085, + "grad_norm": 1.1875, + "learning_rate": 0.0002964665823335229, + "loss": 4.7577, + "mean_token_accuracy": 0.20150525718927384, + "num_tokens": 11450551.0, + "step": 5185 + }, + { + "entropy": 5.3604906558990475, + "epoch": 5.231971759959657, + "grad_norm": 1.171875, + "learning_rate": 0.00029607169289201836, + "loss": 4.741, + "mean_token_accuracy": 0.21597910523414612, + "num_tokens": 11460907.0, + "step": 5190 + }, + { + "entropy": 5.375416374206543, + "epoch": 5.237014624306606, + "grad_norm": 1.2109375, + "learning_rate": 0.00029567673795920625, + "loss": 4.7224, + "mean_token_accuracy": 0.207424658536911, + "num_tokens": 11472290.0, + "step": 5195 + }, + { + "entropy": 5.276330804824829, + "epoch": 5.242057488653555, + "grad_norm": 1.171875, + "learning_rate": 0.00029528171876261555, + "loss": 4.7787, + "mean_token_accuracy": 0.20905390083789827, + "num_tokens": 11484946.0, + "step": 5200 + }, + { + "entropy": 5.454510831832886, + "epoch": 5.247100353000504, + "grad_norm": 1.2734375, + "learning_rate": 0.0002948866365299751, + "loss": 4.8389, + "mean_token_accuracy": 0.1950281471014023, + "num_tokens": 11494845.0, + "step": 5205 + }, + { + "entropy": 5.511236238479614, + "epoch": 5.252143217347453, + "grad_norm": 1.203125, + "learning_rate": 0.0002944914924892096, + "loss": 4.852, + "mean_token_accuracy": 0.19927518665790558, + "num_tokens": 11506533.0, + "step": 5210 + }, + { + "entropy": 5.375716781616211, + "epoch": 5.257186081694402, + "grad_norm": 1.2265625, + "learning_rate": 0.0002940962878684358, + "loss": 4.7628, + "mean_token_accuracy": 0.20310329794883727, + "num_tokens": 11516985.0, + "step": 5215 + }, + { + "entropy": 5.324270009994507, + "epoch": 5.262228946041351, + "grad_norm": 1.515625, + "learning_rate": 0.0002937010238959588, + "loss": 4.7455, + "mean_token_accuracy": 0.20899288654327391, + "num_tokens": 11526203.0, + "step": 5220 + }, + { + "entropy": 5.351016664505005, + "epoch": 5.2672718103883005, + "grad_norm": 1.4609375, + "learning_rate": 0.0002933057018002681, + "loss": 4.8466, + "mean_token_accuracy": 0.2013192817568779, + "num_tokens": 11536676.0, + "step": 5225 + }, + { + "entropy": 5.415819597244263, + "epoch": 5.27231467473525, + "grad_norm": 1.1171875, + "learning_rate": 0.000292910322810034, + "loss": 4.7999, + "mean_token_accuracy": 0.20850418359041215, + "num_tokens": 11548466.0, + "step": 5230 + }, + { + "entropy": 5.401542377471924, + "epoch": 5.277357539082199, + "grad_norm": 1.1171875, + "learning_rate": 0.00029251488815410344, + "loss": 4.8248, + "mean_token_accuracy": 0.19646383076906204, + "num_tokens": 11560065.0, + "step": 5235 + }, + { + "entropy": 5.407020950317383, + "epoch": 5.282400403429148, + "grad_norm": 1.25, + "learning_rate": 0.00029211939906149644, + "loss": 4.8254, + "mean_token_accuracy": 0.1985974207520485, + "num_tokens": 11571718.0, + "step": 5240 + }, + { + "entropy": 5.37835693359375, + "epoch": 5.287443267776097, + "grad_norm": 1.2578125, + "learning_rate": 0.00029172385676140225, + "loss": 4.8058, + "mean_token_accuracy": 0.20265444219112397, + "num_tokens": 11583046.0, + "step": 5245 + }, + { + "entropy": 5.317554950714111, + "epoch": 5.292486132123046, + "grad_norm": 1.265625, + "learning_rate": 0.00029132826248317537, + "loss": 4.6898, + "mean_token_accuracy": 0.20848133116960527, + "num_tokens": 11593744.0, + "step": 5250 + }, + { + "entropy": 5.385888576507568, + "epoch": 5.297528996469995, + "grad_norm": 1.2421875, + "learning_rate": 0.0002909326174563322, + "loss": 4.7439, + "mean_token_accuracy": 0.20916520357131957, + "num_tokens": 11604337.0, + "step": 5255 + }, + { + "entropy": 5.394536018371582, + "epoch": 5.302571860816944, + "grad_norm": 1.2578125, + "learning_rate": 0.00029053692291054636, + "loss": 4.8092, + "mean_token_accuracy": 0.2000624418258667, + "num_tokens": 11615712.0, + "step": 5260 + }, + { + "entropy": 5.324703073501587, + "epoch": 5.307614725163893, + "grad_norm": 1.140625, + "learning_rate": 0.00029014118007564564, + "loss": 4.7372, + "mean_token_accuracy": 0.20561733543872834, + "num_tokens": 11625846.0, + "step": 5265 + }, + { + "entropy": 5.344365358352661, + "epoch": 5.3126575895108425, + "grad_norm": 1.296875, + "learning_rate": 0.0002897453901816081, + "loss": 4.7914, + "mean_token_accuracy": 0.20059997588396072, + "num_tokens": 11635968.0, + "step": 5270 + }, + { + "entropy": 5.4661658763885494, + "epoch": 5.317700453857791, + "grad_norm": 1.3515625, + "learning_rate": 0.00028934955445855773, + "loss": 4.8665, + "mean_token_accuracy": 0.20574951171875, + "num_tokens": 11646858.0, + "step": 5275 + }, + { + "entropy": 5.3323393821716305, + "epoch": 5.32274331820474, + "grad_norm": 1.328125, + "learning_rate": 0.00028895367413676095, + "loss": 4.7689, + "mean_token_accuracy": 0.20801410377025603, + "num_tokens": 11657728.0, + "step": 5280 + }, + { + "entropy": 5.462389087677002, + "epoch": 5.327786182551689, + "grad_norm": 1.265625, + "learning_rate": 0.0002885577504466232, + "loss": 4.8162, + "mean_token_accuracy": 0.20330755561590194, + "num_tokens": 11668288.0, + "step": 5285 + }, + { + "entropy": 5.37921552658081, + "epoch": 5.332829046898638, + "grad_norm": 1.140625, + "learning_rate": 0.00028816178461868425, + "loss": 4.7375, + "mean_token_accuracy": 0.2022107347846031, + "num_tokens": 11679883.0, + "step": 5290 + }, + { + "entropy": 5.415158128738403, + "epoch": 5.337871911245587, + "grad_norm": 1.1484375, + "learning_rate": 0.0002877657778836151, + "loss": 4.8363, + "mean_token_accuracy": 0.19621689319610597, + "num_tokens": 11690643.0, + "step": 5295 + }, + { + "entropy": 5.428422117233277, + "epoch": 5.342914775592536, + "grad_norm": 1.3828125, + "learning_rate": 0.0002873697314722138, + "loss": 4.8324, + "mean_token_accuracy": 0.20309034287929534, + "num_tokens": 11701687.0, + "step": 5300 + }, + { + "entropy": 5.359555959701538, + "epoch": 5.3479576399394855, + "grad_norm": 1.09375, + "learning_rate": 0.0002869736466154018, + "loss": 4.7564, + "mean_token_accuracy": 0.20772893279790877, + "num_tokens": 11713432.0, + "step": 5305 + }, + { + "entropy": 5.408741807937622, + "epoch": 5.353000504286435, + "grad_norm": 1.3203125, + "learning_rate": 0.00028657752454421974, + "loss": 4.8059, + "mean_token_accuracy": 0.20484850853681563, + "num_tokens": 11725009.0, + "step": 5310 + }, + { + "entropy": 5.435963106155396, + "epoch": 5.358043368633384, + "grad_norm": 1.265625, + "learning_rate": 0.0002861813664898245, + "loss": 4.7478, + "mean_token_accuracy": 0.21129528284072877, + "num_tokens": 11735576.0, + "step": 5315 + }, + { + "entropy": 5.396055507659912, + "epoch": 5.363086232980333, + "grad_norm": 1.234375, + "learning_rate": 0.00028578517368348425, + "loss": 4.7527, + "mean_token_accuracy": 0.2051149368286133, + "num_tokens": 11746334.0, + "step": 5320 + }, + { + "entropy": 5.342900180816651, + "epoch": 5.368129097327282, + "grad_norm": 1.1796875, + "learning_rate": 0.0002853889473565753, + "loss": 4.7693, + "mean_token_accuracy": 0.2017793208360672, + "num_tokens": 11757093.0, + "step": 5325 + }, + { + "entropy": 5.349963808059693, + "epoch": 5.373171961674231, + "grad_norm": 1.5859375, + "learning_rate": 0.0002849926887405784, + "loss": 4.7967, + "mean_token_accuracy": 0.19983594566583635, + "num_tokens": 11767141.0, + "step": 5330 + }, + { + "entropy": 5.512475156784058, + "epoch": 5.37821482602118, + "grad_norm": 1.2421875, + "learning_rate": 0.0002845963990670744, + "loss": 4.9514, + "mean_token_accuracy": 0.19021792709827423, + "num_tokens": 11778944.0, + "step": 5335 + }, + { + "entropy": 5.40713062286377, + "epoch": 5.383257690368129, + "grad_norm": 1.375, + "learning_rate": 0.00028420007956774077, + "loss": 4.6902, + "mean_token_accuracy": 0.20905327051877975, + "num_tokens": 11789081.0, + "step": 5340 + }, + { + "entropy": 5.3399951457977295, + "epoch": 5.388300554715078, + "grad_norm": 1.34375, + "learning_rate": 0.00028380373147434746, + "loss": 4.7737, + "mean_token_accuracy": 0.2040804609656334, + "num_tokens": 11800626.0, + "step": 5345 + }, + { + "entropy": 5.378877353668213, + "epoch": 5.3933434190620275, + "grad_norm": 1.203125, + "learning_rate": 0.00028340735601875376, + "loss": 4.7866, + "mean_token_accuracy": 0.19718751609325408, + "num_tokens": 11810899.0, + "step": 5350 + }, + { + "entropy": 5.417437934875489, + "epoch": 5.398386283408977, + "grad_norm": 1.21875, + "learning_rate": 0.0002830109544329036, + "loss": 4.8029, + "mean_token_accuracy": 0.20603054910898208, + "num_tokens": 11822599.0, + "step": 5355 + }, + { + "entropy": 5.413007068634033, + "epoch": 5.403429147755926, + "grad_norm": 1.0390625, + "learning_rate": 0.00028261452794882223, + "loss": 4.8487, + "mean_token_accuracy": 0.20448752641677856, + "num_tokens": 11836199.0, + "step": 5360 + }, + { + "entropy": 5.285883283615112, + "epoch": 5.408472012102875, + "grad_norm": 1.359375, + "learning_rate": 0.00028221807779861243, + "loss": 4.6572, + "mean_token_accuracy": 0.21588353663682938, + "num_tokens": 11846220.0, + "step": 5365 + }, + { + "entropy": 5.366286277770996, + "epoch": 5.413514876449823, + "grad_norm": 1.4453125, + "learning_rate": 0.0002818216052144502, + "loss": 4.7719, + "mean_token_accuracy": 0.20182025879621507, + "num_tokens": 11857356.0, + "step": 5370 + }, + { + "entropy": 5.40411696434021, + "epoch": 5.418557740796772, + "grad_norm": 1.3359375, + "learning_rate": 0.0002814251114285816, + "loss": 4.759, + "mean_token_accuracy": 0.20002357810735702, + "num_tokens": 11869088.0, + "step": 5375 + }, + { + "entropy": 5.362497329711914, + "epoch": 5.423600605143721, + "grad_norm": 1.3828125, + "learning_rate": 0.0002810285976733186, + "loss": 4.7575, + "mean_token_accuracy": 0.2007217139005661, + "num_tokens": 11878805.0, + "step": 5380 + }, + { + "entropy": 5.344033241271973, + "epoch": 5.4286434694906704, + "grad_norm": 1.296875, + "learning_rate": 0.0002806320651810349, + "loss": 4.7229, + "mean_token_accuracy": 0.20748991668224334, + "num_tokens": 11889656.0, + "step": 5385 + }, + { + "entropy": 5.390753555297851, + "epoch": 5.43368633383762, + "grad_norm": 1.21875, + "learning_rate": 0.0002802355151841627, + "loss": 4.7644, + "mean_token_accuracy": 0.20545733124017715, + "num_tokens": 11901816.0, + "step": 5390 + }, + { + "entropy": 5.306405162811279, + "epoch": 5.438729198184569, + "grad_norm": 1.296875, + "learning_rate": 0.0002798389489151886, + "loss": 4.7576, + "mean_token_accuracy": 0.2034154698252678, + "num_tokens": 11915049.0, + "step": 5395 + }, + { + "entropy": 5.366006183624267, + "epoch": 5.443772062531518, + "grad_norm": 1.1953125, + "learning_rate": 0.00027944236760664947, + "loss": 4.7347, + "mean_token_accuracy": 0.2040851205587387, + "num_tokens": 11925574.0, + "step": 5400 + }, + { + "entropy": 5.373019075393676, + "epoch": 5.448814926878467, + "grad_norm": 1.375, + "learning_rate": 0.00027904577249112945, + "loss": 4.7729, + "mean_token_accuracy": 0.20976183712482452, + "num_tokens": 11936790.0, + "step": 5405 + }, + { + "entropy": 5.37097053527832, + "epoch": 5.453857791225416, + "grad_norm": 1.2734375, + "learning_rate": 0.0002786491648012552, + "loss": 4.7702, + "mean_token_accuracy": 0.19968913346529008, + "num_tokens": 11947430.0, + "step": 5410 + }, + { + "entropy": 5.392760419845581, + "epoch": 5.458900655572365, + "grad_norm": 1.359375, + "learning_rate": 0.0002782525457696926, + "loss": 4.8093, + "mean_token_accuracy": 0.2016148239374161, + "num_tokens": 11959385.0, + "step": 5415 + }, + { + "entropy": 5.367619800567627, + "epoch": 5.463943519919314, + "grad_norm": 1.1875, + "learning_rate": 0.0002778559166291427, + "loss": 4.7897, + "mean_token_accuracy": 0.20243736058473588, + "num_tokens": 11972117.0, + "step": 5420 + }, + { + "entropy": 5.404072093963623, + "epoch": 5.468986384266263, + "grad_norm": 1.2109375, + "learning_rate": 0.0002774592786123379, + "loss": 4.8294, + "mean_token_accuracy": 0.19929574579000472, + "num_tokens": 11984195.0, + "step": 5425 + }, + { + "entropy": 5.384224510192871, + "epoch": 5.4740292486132125, + "grad_norm": 1.3828125, + "learning_rate": 0.0002770626329520386, + "loss": 4.7591, + "mean_token_accuracy": 0.20624046474695207, + "num_tokens": 11994875.0, + "step": 5430 + }, + { + "entropy": 5.42634220123291, + "epoch": 5.479072112960162, + "grad_norm": 1.3125, + "learning_rate": 0.0002766659808810285, + "loss": 4.8343, + "mean_token_accuracy": 0.20160355269908906, + "num_tokens": 12006408.0, + "step": 5435 + }, + { + "entropy": 5.4102010250091555, + "epoch": 5.484114977307111, + "grad_norm": 1.21875, + "learning_rate": 0.00027626932363211134, + "loss": 4.7882, + "mean_token_accuracy": 0.2065979465842247, + "num_tokens": 12016764.0, + "step": 5440 + }, + { + "entropy": 5.375625371932983, + "epoch": 5.48915784165406, + "grad_norm": 1.1328125, + "learning_rate": 0.0002758726624381071, + "loss": 4.7426, + "mean_token_accuracy": 0.21021603494882585, + "num_tokens": 12027900.0, + "step": 5445 + }, + { + "entropy": 5.3879789352417, + "epoch": 5.494200706001009, + "grad_norm": 1.34375, + "learning_rate": 0.0002754759985318478, + "loss": 4.8359, + "mean_token_accuracy": 0.19971801191568375, + "num_tokens": 12038641.0, + "step": 5450 + }, + { + "entropy": 5.400270891189575, + "epoch": 5.499243570347957, + "grad_norm": 1.203125, + "learning_rate": 0.0002750793331461741, + "loss": 4.8084, + "mean_token_accuracy": 0.19689522981643676, + "num_tokens": 12050938.0, + "step": 5455 + }, + { + "entropy": 5.380944490432739, + "epoch": 5.504286434694906, + "grad_norm": 1.203125, + "learning_rate": 0.0002746826675139313, + "loss": 4.7536, + "mean_token_accuracy": 0.2038170129060745, + "num_tokens": 12061483.0, + "step": 5460 + }, + { + "entropy": 5.428875350952149, + "epoch": 5.509329299041855, + "grad_norm": 1.4140625, + "learning_rate": 0.00027428600286796503, + "loss": 4.8109, + "mean_token_accuracy": 0.19564636945724487, + "num_tokens": 12073214.0, + "step": 5465 + }, + { + "entropy": 5.413195037841797, + "epoch": 5.5143721633888045, + "grad_norm": 1.515625, + "learning_rate": 0.00027388934044111836, + "loss": 4.7896, + "mean_token_accuracy": 0.20607620030641555, + "num_tokens": 12082536.0, + "step": 5470 + }, + { + "entropy": 5.447469186782837, + "epoch": 5.519415027735754, + "grad_norm": 1.2109375, + "learning_rate": 0.0002734926814662271, + "loss": 4.8629, + "mean_token_accuracy": 0.1926976814866066, + "num_tokens": 12094867.0, + "step": 5475 + }, + { + "entropy": 5.416417980194092, + "epoch": 5.524457892082703, + "grad_norm": 1.3984375, + "learning_rate": 0.00027309602717611673, + "loss": 4.8627, + "mean_token_accuracy": 0.20292915999889374, + "num_tokens": 12105385.0, + "step": 5480 + }, + { + "entropy": 5.364644479751587, + "epoch": 5.529500756429652, + "grad_norm": 1.1484375, + "learning_rate": 0.00027269937880359786, + "loss": 4.7571, + "mean_token_accuracy": 0.2100677892565727, + "num_tokens": 12117652.0, + "step": 5485 + }, + { + "entropy": 5.402087545394897, + "epoch": 5.534543620776601, + "grad_norm": 1.2734375, + "learning_rate": 0.00027230273758146263, + "loss": 4.8328, + "mean_token_accuracy": 0.20247368216514589, + "num_tokens": 12128372.0, + "step": 5490 + }, + { + "entropy": 5.426740074157715, + "epoch": 5.53958648512355, + "grad_norm": 1.3515625, + "learning_rate": 0.0002719061047424813, + "loss": 4.818, + "mean_token_accuracy": 0.2003900319337845, + "num_tokens": 12138943.0, + "step": 5495 + }, + { + "entropy": 5.3167243003845215, + "epoch": 5.544629349470499, + "grad_norm": 1.203125, + "learning_rate": 0.0002715094815193978, + "loss": 4.7368, + "mean_token_accuracy": 0.20867759585380555, + "num_tokens": 12149329.0, + "step": 5500 + }, + { + "entropy": 5.331606101989746, + "epoch": 5.549672213817448, + "grad_norm": 1.359375, + "learning_rate": 0.0002711128691449262, + "loss": 4.7266, + "mean_token_accuracy": 0.20735112428665162, + "num_tokens": 12160498.0, + "step": 5505 + }, + { + "entropy": 5.4235076904296875, + "epoch": 5.5547150781643975, + "grad_norm": 1.328125, + "learning_rate": 0.000270716268851747, + "loss": 4.8422, + "mean_token_accuracy": 0.19248930662870406, + "num_tokens": 12171110.0, + "step": 5510 + }, + { + "entropy": 5.297978353500366, + "epoch": 5.559757942511347, + "grad_norm": 1.1796875, + "learning_rate": 0.00027031968187250305, + "loss": 4.7609, + "mean_token_accuracy": 0.2007995918393135, + "num_tokens": 12182706.0, + "step": 5515 + }, + { + "entropy": 5.36890983581543, + "epoch": 5.564800806858296, + "grad_norm": 1.2578125, + "learning_rate": 0.0002699231094397957, + "loss": 4.7555, + "mean_token_accuracy": 0.20540590286254884, + "num_tokens": 12194023.0, + "step": 5520 + }, + { + "entropy": 5.39328031539917, + "epoch": 5.569843671205245, + "grad_norm": 1.40625, + "learning_rate": 0.0002695265527861815, + "loss": 4.7822, + "mean_token_accuracy": 0.19761642217636108, + "num_tokens": 12204165.0, + "step": 5525 + }, + { + "entropy": 5.416159820556641, + "epoch": 5.574886535552194, + "grad_norm": 1.28125, + "learning_rate": 0.0002691300131441674, + "loss": 4.8489, + "mean_token_accuracy": 0.1993971899151802, + "num_tokens": 12214840.0, + "step": 5530 + }, + { + "entropy": 5.398578071594239, + "epoch": 5.579929399899143, + "grad_norm": 1.1796875, + "learning_rate": 0.0002687334917462079, + "loss": 4.8122, + "mean_token_accuracy": 0.20347722321748735, + "num_tokens": 12226454.0, + "step": 5535 + }, + { + "entropy": 5.382529306411743, + "epoch": 5.584972264246092, + "grad_norm": 1.4921875, + "learning_rate": 0.0002683369898247005, + "loss": 4.8185, + "mean_token_accuracy": 0.19594880789518357, + "num_tokens": 12236958.0, + "step": 5540 + }, + { + "entropy": 5.407418203353882, + "epoch": 5.590015128593041, + "grad_norm": 1.2578125, + "learning_rate": 0.0002679405086119825, + "loss": 4.7829, + "mean_token_accuracy": 0.20016122311353685, + "num_tokens": 12248050.0, + "step": 5545 + }, + { + "entropy": 5.418981838226318, + "epoch": 5.59505799293999, + "grad_norm": 1.359375, + "learning_rate": 0.00026754404934032657, + "loss": 4.7709, + "mean_token_accuracy": 0.19695729166269302, + "num_tokens": 12258230.0, + "step": 5550 + }, + { + "entropy": 5.2918905258178714, + "epoch": 5.600100857286939, + "grad_norm": 1.3125, + "learning_rate": 0.0002671476132419374, + "loss": 4.7131, + "mean_token_accuracy": 0.2035423129796982, + "num_tokens": 12268708.0, + "step": 5555 + }, + { + "entropy": 5.359189367294311, + "epoch": 5.605143721633888, + "grad_norm": 1.2421875, + "learning_rate": 0.0002667512015489472, + "loss": 4.8098, + "mean_token_accuracy": 0.198850516974926, + "num_tokens": 12279363.0, + "step": 5560 + }, + { + "entropy": 5.361038446426392, + "epoch": 5.610186585980837, + "grad_norm": 1.2578125, + "learning_rate": 0.000266354815493413, + "loss": 4.6775, + "mean_token_accuracy": 0.2127465561032295, + "num_tokens": 12290525.0, + "step": 5565 + }, + { + "entropy": 5.3382140636444095, + "epoch": 5.615229450327786, + "grad_norm": 1.171875, + "learning_rate": 0.00026595845630731166, + "loss": 4.7394, + "mean_token_accuracy": 0.21278925836086274, + "num_tokens": 12301404.0, + "step": 5570 + }, + { + "entropy": 5.28578896522522, + "epoch": 5.620272314674735, + "grad_norm": 1.3515625, + "learning_rate": 0.00026556212522253666, + "loss": 4.7747, + "mean_token_accuracy": 0.20052016228437425, + "num_tokens": 12312601.0, + "step": 5575 + }, + { + "entropy": 5.371021366119384, + "epoch": 5.625315179021684, + "grad_norm": 1.4375, + "learning_rate": 0.0002651658234708941, + "loss": 4.7389, + "mean_token_accuracy": 0.20447789281606674, + "num_tokens": 12324192.0, + "step": 5580 + }, + { + "entropy": 5.4337811946868895, + "epoch": 5.630358043368633, + "grad_norm": 1.3046875, + "learning_rate": 0.00026476955228409924, + "loss": 4.7604, + "mean_token_accuracy": 0.21026771813631057, + "num_tokens": 12335358.0, + "step": 5585 + }, + { + "entropy": 5.328546142578125, + "epoch": 5.635400907715582, + "grad_norm": 1.1484375, + "learning_rate": 0.00026437331289377175, + "loss": 4.7659, + "mean_token_accuracy": 0.2018200382590294, + "num_tokens": 12347000.0, + "step": 5590 + }, + { + "entropy": 5.434003067016602, + "epoch": 5.640443772062532, + "grad_norm": 1.3046875, + "learning_rate": 0.0002639771065314329, + "loss": 4.8828, + "mean_token_accuracy": 0.19211796522140503, + "num_tokens": 12358067.0, + "step": 5595 + }, + { + "entropy": 5.412813138961792, + "epoch": 5.645486636409481, + "grad_norm": 1.078125, + "learning_rate": 0.00026358093442850134, + "loss": 4.7987, + "mean_token_accuracy": 0.19619182050228118, + "num_tokens": 12369359.0, + "step": 5600 + }, + { + "entropy": 5.379443597793579, + "epoch": 5.65052950075643, + "grad_norm": 1.1953125, + "learning_rate": 0.0002631847978162889, + "loss": 4.8384, + "mean_token_accuracy": 0.20223764479160308, + "num_tokens": 12380789.0, + "step": 5605 + }, + { + "entropy": 5.349356412887573, + "epoch": 5.655572365103379, + "grad_norm": 1.25, + "learning_rate": 0.00026278869792599745, + "loss": 4.7751, + "mean_token_accuracy": 0.20764461308717727, + "num_tokens": 12392591.0, + "step": 5610 + }, + { + "entropy": 5.34460825920105, + "epoch": 5.660615229450328, + "grad_norm": 1.3046875, + "learning_rate": 0.0002623926359887145, + "loss": 4.8184, + "mean_token_accuracy": 0.19706828147172928, + "num_tokens": 12404269.0, + "step": 5615 + }, + { + "entropy": 5.430381488800049, + "epoch": 5.665658093797277, + "grad_norm": 1.4453125, + "learning_rate": 0.00026199661323540973, + "loss": 4.8309, + "mean_token_accuracy": 0.20572761446237564, + "num_tokens": 12414356.0, + "step": 5620 + }, + { + "entropy": 5.4070611000061035, + "epoch": 5.670700958144226, + "grad_norm": 1.328125, + "learning_rate": 0.00026160063089693096, + "loss": 4.7887, + "mean_token_accuracy": 0.20611845701932907, + "num_tokens": 12424480.0, + "step": 5625 + }, + { + "entropy": 5.383074998855591, + "epoch": 5.675743822491175, + "grad_norm": 1.2578125, + "learning_rate": 0.0002612046902040006, + "loss": 4.8203, + "mean_token_accuracy": 0.19679659008979797, + "num_tokens": 12437253.0, + "step": 5630 + }, + { + "entropy": 5.478241586685181, + "epoch": 5.680786686838124, + "grad_norm": 1.1796875, + "learning_rate": 0.0002608087923872111, + "loss": 4.7828, + "mean_token_accuracy": 0.2005940333008766, + "num_tokens": 12448297.0, + "step": 5635 + }, + { + "entropy": 5.431466722488404, + "epoch": 5.685829551185073, + "grad_norm": 1.21875, + "learning_rate": 0.00026041293867702235, + "loss": 4.835, + "mean_token_accuracy": 0.20168797373771669, + "num_tokens": 12460066.0, + "step": 5640 + }, + { + "entropy": 5.405737352371216, + "epoch": 5.690872415532022, + "grad_norm": 1.2890625, + "learning_rate": 0.00026001713030375664, + "loss": 4.8312, + "mean_token_accuracy": 0.19425902664661407, + "num_tokens": 12469806.0, + "step": 5645 + }, + { + "entropy": 5.340780353546142, + "epoch": 5.695915279878971, + "grad_norm": 1.265625, + "learning_rate": 0.00025962136849759564, + "loss": 4.8248, + "mean_token_accuracy": 0.1924226090312004, + "num_tokens": 12480713.0, + "step": 5650 + }, + { + "entropy": 5.335066604614258, + "epoch": 5.70095814422592, + "grad_norm": 1.2890625, + "learning_rate": 0.00025922565448857605, + "loss": 4.7662, + "mean_token_accuracy": 0.19760394990444183, + "num_tokens": 12491635.0, + "step": 5655 + }, + { + "entropy": 5.405575895309449, + "epoch": 5.706001008572869, + "grad_norm": 1.4140625, + "learning_rate": 0.00025882998950658623, + "loss": 4.7873, + "mean_token_accuracy": 0.19493716955184937, + "num_tokens": 12502064.0, + "step": 5660 + }, + { + "entropy": 5.398749971389771, + "epoch": 5.711043872919818, + "grad_norm": 1.3359375, + "learning_rate": 0.00025843437478136196, + "loss": 4.8079, + "mean_token_accuracy": 0.20524186491966248, + "num_tokens": 12512525.0, + "step": 5665 + }, + { + "entropy": 5.335463333129883, + "epoch": 5.716086737266767, + "grad_norm": 1.1953125, + "learning_rate": 0.00025803881154248305, + "loss": 4.7732, + "mean_token_accuracy": 0.1931627333164215, + "num_tokens": 12523512.0, + "step": 5670 + }, + { + "entropy": 5.351618337631225, + "epoch": 5.7211296016137165, + "grad_norm": 1.3359375, + "learning_rate": 0.0002576433010193691, + "loss": 4.7278, + "mean_token_accuracy": 0.19881056994199753, + "num_tokens": 12533678.0, + "step": 5675 + }, + { + "entropy": 5.355673885345459, + "epoch": 5.726172465960666, + "grad_norm": 1.2265625, + "learning_rate": 0.000257247844441276, + "loss": 4.8625, + "mean_token_accuracy": 0.20028068572282792, + "num_tokens": 12545519.0, + "step": 5680 + }, + { + "entropy": 5.392779731750489, + "epoch": 5.731215330307615, + "grad_norm": 1.2421875, + "learning_rate": 0.00025685244303729187, + "loss": 4.7666, + "mean_token_accuracy": 0.20816505402326585, + "num_tokens": 12556960.0, + "step": 5685 + }, + { + "entropy": 5.359384536743164, + "epoch": 5.736258194654564, + "grad_norm": 1.265625, + "learning_rate": 0.0002564570980363334, + "loss": 4.7361, + "mean_token_accuracy": 0.20638254135847092, + "num_tokens": 12567085.0, + "step": 5690 + }, + { + "entropy": 5.3717506408691404, + "epoch": 5.741301059001513, + "grad_norm": 1.3671875, + "learning_rate": 0.00025606181066714195, + "loss": 4.7859, + "mean_token_accuracy": 0.19550453275442123, + "num_tokens": 12576382.0, + "step": 5695 + }, + { + "entropy": 5.380795001983643, + "epoch": 5.746343923348462, + "grad_norm": 1.28125, + "learning_rate": 0.0002556665821582798, + "loss": 4.804, + "mean_token_accuracy": 0.2034294456243515, + "num_tokens": 12587332.0, + "step": 5700 + }, + { + "entropy": 5.329462766647339, + "epoch": 5.751386787695411, + "grad_norm": 1.234375, + "learning_rate": 0.0002552714137381264, + "loss": 4.775, + "mean_token_accuracy": 0.20877379626035691, + "num_tokens": 12597816.0, + "step": 5705 + }, + { + "entropy": 5.419559144973755, + "epoch": 5.75642965204236, + "grad_norm": 1.203125, + "learning_rate": 0.0002548763066348741, + "loss": 4.8104, + "mean_token_accuracy": 0.2014116421341896, + "num_tokens": 12609463.0, + "step": 5710 + }, + { + "entropy": 5.347645282745361, + "epoch": 5.7614725163893095, + "grad_norm": 1.265625, + "learning_rate": 0.0002544812620765251, + "loss": 4.8199, + "mean_token_accuracy": 0.20352404415607453, + "num_tokens": 12621551.0, + "step": 5715 + }, + { + "entropy": 5.40521354675293, + "epoch": 5.766515380736259, + "grad_norm": 1.3671875, + "learning_rate": 0.0002540862812908868, + "loss": 4.7497, + "mean_token_accuracy": 0.2069175735116005, + "num_tokens": 12632246.0, + "step": 5720 + }, + { + "entropy": 5.376331758499146, + "epoch": 5.771558245083208, + "grad_norm": 1.265625, + "learning_rate": 0.0002536913655055687, + "loss": 4.7504, + "mean_token_accuracy": 0.20739430338144302, + "num_tokens": 12642398.0, + "step": 5725 + }, + { + "entropy": 5.343450546264648, + "epoch": 5.776601109430157, + "grad_norm": 1.2890625, + "learning_rate": 0.0002532965159479781, + "loss": 4.7801, + "mean_token_accuracy": 0.20516646802425384, + "num_tokens": 12652454.0, + "step": 5730 + }, + { + "entropy": 5.403167772293091, + "epoch": 5.781643973777105, + "grad_norm": 1.40625, + "learning_rate": 0.0002529017338453167, + "loss": 4.8266, + "mean_token_accuracy": 0.20408095866441728, + "num_tokens": 12663757.0, + "step": 5735 + }, + { + "entropy": 5.44119873046875, + "epoch": 5.786686838124054, + "grad_norm": 1.375, + "learning_rate": 0.0002525070204245761, + "loss": 4.8073, + "mean_token_accuracy": 0.20163584649562835, + "num_tokens": 12674795.0, + "step": 5740 + }, + { + "entropy": 5.388897228240967, + "epoch": 5.791729702471003, + "grad_norm": 1.34375, + "learning_rate": 0.00025211237691253507, + "loss": 4.8593, + "mean_token_accuracy": 0.19761030226945878, + "num_tokens": 12686162.0, + "step": 5745 + }, + { + "entropy": 5.411794424057007, + "epoch": 5.796772566817952, + "grad_norm": 1.3828125, + "learning_rate": 0.00025171780453575447, + "loss": 4.7833, + "mean_token_accuracy": 0.19894900172948837, + "num_tokens": 12696930.0, + "step": 5750 + }, + { + "entropy": 5.430048322677612, + "epoch": 5.8018154311649015, + "grad_norm": 1.265625, + "learning_rate": 0.0002513233045205746, + "loss": 4.8304, + "mean_token_accuracy": 0.20307109504938126, + "num_tokens": 12708083.0, + "step": 5755 + }, + { + "entropy": 5.339283895492554, + "epoch": 5.806858295511851, + "grad_norm": 1.40625, + "learning_rate": 0.0002509288780931102, + "loss": 4.7246, + "mean_token_accuracy": 0.20105741918087006, + "num_tokens": 12718852.0, + "step": 5760 + }, + { + "entropy": 5.389208507537842, + "epoch": 5.8119011598588, + "grad_norm": 1.515625, + "learning_rate": 0.0002505345264792482, + "loss": 4.8418, + "mean_token_accuracy": 0.2007734403014183, + "num_tokens": 12729276.0, + "step": 5765 + }, + { + "entropy": 5.384714031219483, + "epoch": 5.816944024205749, + "grad_norm": 1.2734375, + "learning_rate": 0.00025014025090464205, + "loss": 4.7587, + "mean_token_accuracy": 0.20847140103578568, + "num_tokens": 12739442.0, + "step": 5770 + }, + { + "entropy": 5.395238590240479, + "epoch": 5.821986888552698, + "grad_norm": 1.4296875, + "learning_rate": 0.00024974605259470975, + "loss": 4.8388, + "mean_token_accuracy": 0.20188961178064346, + "num_tokens": 12750315.0, + "step": 5775 + }, + { + "entropy": 5.367918825149536, + "epoch": 5.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.00024935193277462835, + "loss": 4.7595, + "mean_token_accuracy": 0.20250935703516007, + "num_tokens": 12761306.0, + "step": 5780 + }, + { + "entropy": 5.399157953262329, + "epoch": 5.832072617246596, + "grad_norm": 1.3984375, + "learning_rate": 0.0002489578926693317, + "loss": 4.767, + "mean_token_accuracy": 0.20976047068834305, + "num_tokens": 12772182.0, + "step": 5785 + }, + { + "entropy": 5.362395763397217, + "epoch": 5.837115481593545, + "grad_norm": 1.25, + "learning_rate": 0.0002485639335035053, + "loss": 4.7758, + "mean_token_accuracy": 0.2043982192873955, + "num_tokens": 12783455.0, + "step": 5790 + }, + { + "entropy": 5.37901291847229, + "epoch": 5.842158345940494, + "grad_norm": 1.21875, + "learning_rate": 0.00024817005650158345, + "loss": 4.7832, + "mean_token_accuracy": 0.20846178829669954, + "num_tokens": 12794756.0, + "step": 5795 + }, + { + "entropy": 5.333470296859741, + "epoch": 5.8472012102874436, + "grad_norm": 1.203125, + "learning_rate": 0.00024777626288774473, + "loss": 4.7694, + "mean_token_accuracy": 0.20354427844285966, + "num_tokens": 12807748.0, + "step": 5800 + }, + { + "entropy": 5.330673408508301, + "epoch": 5.852244074634393, + "grad_norm": 1.328125, + "learning_rate": 0.0002473825538859091, + "loss": 4.7809, + "mean_token_accuracy": 0.20519086122512817, + "num_tokens": 12818642.0, + "step": 5805 + }, + { + "entropy": 5.362842655181884, + "epoch": 5.857286938981342, + "grad_norm": 1.2734375, + "learning_rate": 0.0002469889307197331, + "loss": 4.7522, + "mean_token_accuracy": 0.2019769474864006, + "num_tokens": 12830873.0, + "step": 5810 + }, + { + "entropy": 5.417681550979614, + "epoch": 5.86232980332829, + "grad_norm": 1.28125, + "learning_rate": 0.0002465953946126065, + "loss": 4.8827, + "mean_token_accuracy": 0.19947465062141417, + "num_tokens": 12842545.0, + "step": 5815 + }, + { + "entropy": 5.452762079238892, + "epoch": 5.867372667675239, + "grad_norm": 1.390625, + "learning_rate": 0.00024620194678764875, + "loss": 4.8285, + "mean_token_accuracy": 0.20198632925748825, + "num_tokens": 12853398.0, + "step": 5820 + }, + { + "entropy": 5.382379150390625, + "epoch": 5.872415532022188, + "grad_norm": 1.2578125, + "learning_rate": 0.0002458085884677046, + "loss": 4.7487, + "mean_token_accuracy": 0.20454103201627732, + "num_tokens": 12865637.0, + "step": 5825 + }, + { + "entropy": 5.35223274230957, + "epoch": 5.877458396369137, + "grad_norm": 1.1875, + "learning_rate": 0.00024541532087534097, + "loss": 4.7892, + "mean_token_accuracy": 0.20246104747056962, + "num_tokens": 12877055.0, + "step": 5830 + }, + { + "entropy": 5.314401578903198, + "epoch": 5.8825012607160865, + "grad_norm": 1.546875, + "learning_rate": 0.0002450221452328424, + "loss": 4.6618, + "mean_token_accuracy": 0.21492190062999725, + "num_tokens": 12887609.0, + "step": 5835 + }, + { + "entropy": 5.378951358795166, + "epoch": 5.887544125063036, + "grad_norm": 1.421875, + "learning_rate": 0.00024462906276220814, + "loss": 4.7694, + "mean_token_accuracy": 0.20678590536117553, + "num_tokens": 12898327.0, + "step": 5840 + }, + { + "entropy": 5.352730464935303, + "epoch": 5.892586989409985, + "grad_norm": 1.265625, + "learning_rate": 0.0002442360746851473, + "loss": 4.8597, + "mean_token_accuracy": 0.19703632742166519, + "num_tokens": 12909837.0, + "step": 5845 + }, + { + "entropy": 5.38573989868164, + "epoch": 5.897629853756934, + "grad_norm": 1.140625, + "learning_rate": 0.00024384318222307605, + "loss": 4.8392, + "mean_token_accuracy": 0.2016778990626335, + "num_tokens": 12921386.0, + "step": 5850 + }, + { + "entropy": 5.345422220230103, + "epoch": 5.902672718103883, + "grad_norm": 1.390625, + "learning_rate": 0.0002434503865971131, + "loss": 4.7784, + "mean_token_accuracy": 0.21095688492059708, + "num_tokens": 12932099.0, + "step": 5855 + }, + { + "entropy": 5.382601737976074, + "epoch": 5.907715582450832, + "grad_norm": 1.203125, + "learning_rate": 0.0002430576890280765, + "loss": 4.8036, + "mean_token_accuracy": 0.20520464032888414, + "num_tokens": 12944151.0, + "step": 5860 + }, + { + "entropy": 5.406586980819702, + "epoch": 5.912758446797781, + "grad_norm": 1.2265625, + "learning_rate": 0.00024266509073647913, + "loss": 4.8275, + "mean_token_accuracy": 0.2021748811006546, + "num_tokens": 12956399.0, + "step": 5865 + }, + { + "entropy": 5.408793163299561, + "epoch": 5.91780131114473, + "grad_norm": 1.171875, + "learning_rate": 0.00024227259294252578, + "loss": 4.8454, + "mean_token_accuracy": 0.2002648815512657, + "num_tokens": 12968332.0, + "step": 5870 + }, + { + "entropy": 5.366849565505982, + "epoch": 5.922844175491679, + "grad_norm": 1.203125, + "learning_rate": 0.0002418801968661084, + "loss": 4.7667, + "mean_token_accuracy": 0.20432819426059723, + "num_tokens": 12979647.0, + "step": 5875 + }, + { + "entropy": 5.388034963607788, + "epoch": 5.9278870398386285, + "grad_norm": 1.1015625, + "learning_rate": 0.00024148790372680324, + "loss": 4.8368, + "mean_token_accuracy": 0.1974472373723984, + "num_tokens": 12992115.0, + "step": 5880 + }, + { + "entropy": 5.358849620819091, + "epoch": 5.932929904185578, + "grad_norm": 1.3046875, + "learning_rate": 0.00024109571474386631, + "loss": 4.6664, + "mean_token_accuracy": 0.21497285068035127, + "num_tokens": 13002611.0, + "step": 5885 + }, + { + "entropy": 5.371519708633423, + "epoch": 5.937972768532527, + "grad_norm": 1.421875, + "learning_rate": 0.00024070363113623018, + "loss": 4.7082, + "mean_token_accuracy": 0.21265474408864976, + "num_tokens": 13013510.0, + "step": 5890 + }, + { + "entropy": 5.40354437828064, + "epoch": 5.943015632879476, + "grad_norm": 1.3359375, + "learning_rate": 0.00024031165412249938, + "loss": 4.8571, + "mean_token_accuracy": 0.19604741930961608, + "num_tokens": 13025962.0, + "step": 5895 + }, + { + "entropy": 5.315206623077392, + "epoch": 5.948058497226425, + "grad_norm": 1.421875, + "learning_rate": 0.000239919784920948, + "loss": 4.7802, + "mean_token_accuracy": 0.2017505183815956, + "num_tokens": 13036751.0, + "step": 5900 + }, + { + "entropy": 5.318692922592163, + "epoch": 5.953101361573374, + "grad_norm": 1.2421875, + "learning_rate": 0.00023952802474951418, + "loss": 4.7549, + "mean_token_accuracy": 0.20791540592908858, + "num_tokens": 13048302.0, + "step": 5905 + }, + { + "entropy": 5.40013747215271, + "epoch": 5.958144225920323, + "grad_norm": 1.140625, + "learning_rate": 0.00023913637482579774, + "loss": 4.8031, + "mean_token_accuracy": 0.2007676437497139, + "num_tokens": 13059879.0, + "step": 5910 + }, + { + "entropy": 5.39221043586731, + "epoch": 5.9631870902672715, + "grad_norm": 1.34375, + "learning_rate": 0.00023874483636705563, + "loss": 4.7488, + "mean_token_accuracy": 0.20411685705184937, + "num_tokens": 13071540.0, + "step": 5915 + }, + { + "entropy": 5.358206176757813, + "epoch": 5.968229954614221, + "grad_norm": 1.3046875, + "learning_rate": 0.00023835341059019838, + "loss": 4.7673, + "mean_token_accuracy": 0.2024170696735382, + "num_tokens": 13082981.0, + "step": 5920 + }, + { + "entropy": 5.371860218048096, + "epoch": 5.97327281896117, + "grad_norm": 1.25, + "learning_rate": 0.00023796209871178642, + "loss": 4.7424, + "mean_token_accuracy": 0.20808600932359694, + "num_tokens": 13092669.0, + "step": 5925 + }, + { + "entropy": 5.33985652923584, + "epoch": 5.978315683308119, + "grad_norm": 1.3671875, + "learning_rate": 0.00023757090194802605, + "loss": 4.807, + "mean_token_accuracy": 0.20043543875217437, + "num_tokens": 13104081.0, + "step": 5930 + }, + { + "entropy": 5.336535930633545, + "epoch": 5.983358547655068, + "grad_norm": 1.3984375, + "learning_rate": 0.00023717982151476592, + "loss": 4.8211, + "mean_token_accuracy": 0.20272261053323745, + "num_tokens": 13115068.0, + "step": 5935 + }, + { + "entropy": 5.359402418136597, + "epoch": 5.988401412002017, + "grad_norm": 1.375, + "learning_rate": 0.00023678885862749282, + "loss": 4.7476, + "mean_token_accuracy": 0.2031234934926033, + "num_tokens": 13125930.0, + "step": 5940 + }, + { + "entropy": 5.453249120712281, + "epoch": 5.993444276348966, + "grad_norm": 1.1796875, + "learning_rate": 0.00023639801450132863, + "loss": 4.8517, + "mean_token_accuracy": 0.2007930040359497, + "num_tokens": 13137487.0, + "step": 5945 + }, + { + "entropy": 5.37138524055481, + "epoch": 5.998487140695915, + "grad_norm": 1.4765625, + "learning_rate": 0.00023600729035102585, + "loss": 4.6566, + "mean_token_accuracy": 0.21346824765205383, + "num_tokens": 13147542.0, + "step": 5950 + }, + { + "entropy": 5.359211126963298, + "epoch": 6.0030257186081695, + "grad_norm": 1.296875, + "learning_rate": 0.0002356166873909642, + "loss": 4.6838, + "mean_token_accuracy": 0.2145542949438095, + "num_tokens": 13156473.0, + "step": 5955 + }, + { + "entropy": 5.336161470413208, + "epoch": 6.008068582955119, + "grad_norm": 1.3125, + "learning_rate": 0.00023522620683514645, + "loss": 4.6062, + "mean_token_accuracy": 0.2217238202691078, + "num_tokens": 13167225.0, + "step": 5960 + }, + { + "entropy": 5.365195655822754, + "epoch": 6.013111447302068, + "grad_norm": 1.5703125, + "learning_rate": 0.00023483584989719553, + "loss": 4.5606, + "mean_token_accuracy": 0.220480115711689, + "num_tokens": 13178034.0, + "step": 5965 + }, + { + "entropy": 5.463253307342529, + "epoch": 6.018154311649017, + "grad_norm": 1.28125, + "learning_rate": 0.00023444561779034957, + "loss": 4.7097, + "mean_token_accuracy": 0.21369642317295073, + "num_tokens": 13189610.0, + "step": 5970 + }, + { + "entropy": 5.399715805053711, + "epoch": 6.023197175995966, + "grad_norm": 1.1328125, + "learning_rate": 0.00023405551172745904, + "loss": 4.6941, + "mean_token_accuracy": 0.21796804219484328, + "num_tokens": 13201392.0, + "step": 5975 + }, + { + "entropy": 5.376670169830322, + "epoch": 6.028240040342915, + "grad_norm": 1.21875, + "learning_rate": 0.00023366553292098247, + "loss": 4.6309, + "mean_token_accuracy": 0.22139676958322524, + "num_tokens": 13213125.0, + "step": 5980 + }, + { + "entropy": 5.390435981750488, + "epoch": 6.033282904689864, + "grad_norm": 1.203125, + "learning_rate": 0.0002332756825829832, + "loss": 4.6585, + "mean_token_accuracy": 0.21771981567144394, + "num_tokens": 13224287.0, + "step": 5985 + }, + { + "entropy": 5.368021631240845, + "epoch": 6.038325769036813, + "grad_norm": 1.4140625, + "learning_rate": 0.0002328859619251249, + "loss": 4.6452, + "mean_token_accuracy": 0.2108944609761238, + "num_tokens": 13234035.0, + "step": 5990 + }, + { + "entropy": 5.319368362426758, + "epoch": 6.043368633383762, + "grad_norm": 1.1953125, + "learning_rate": 0.00023249637215866847, + "loss": 4.5883, + "mean_token_accuracy": 0.22029249966144562, + "num_tokens": 13245029.0, + "step": 5995 + }, + { + "entropy": 5.3847626686096195, + "epoch": 6.048411497730711, + "grad_norm": 1.1796875, + "learning_rate": 0.0002321069144944678, + "loss": 4.7143, + "mean_token_accuracy": 0.2131657525897026, + "num_tokens": 13256844.0, + "step": 6000 + }, + { + "epoch": 6.048411497730711, + "eval_entropy": 5.204124319644374, + "eval_loss": 5.655833721160889, + "eval_mean_token_accuracy": 0.15606892571497813, + "eval_num_tokens": 13256844.0, + "eval_runtime": 2.0456, + "eval_samples_per_second": 1534.049, + "eval_steps_per_second": 192.123, + "step": 6000 + }, + { + "entropy": 5.3044281005859375, + "epoch": 6.05345436207766, + "grad_norm": 1.3125, + "learning_rate": 0.00023171759014296639, + "loss": 4.5661, + "mean_token_accuracy": 0.21968138217926025, + "num_tokens": 13269033.0, + "step": 6005 + }, + { + "entropy": 5.373870420455932, + "epoch": 6.058497226424609, + "grad_norm": 1.265625, + "learning_rate": 0.00023132840031419316, + "loss": 4.6246, + "mean_token_accuracy": 0.22420395761728287, + "num_tokens": 13280554.0, + "step": 6010 + }, + { + "entropy": 5.3554305076599125, + "epoch": 6.063540090771558, + "grad_norm": 1.3515625, + "learning_rate": 0.00023093934621775926, + "loss": 4.6383, + "mean_token_accuracy": 0.21762033998966218, + "num_tokens": 13292542.0, + "step": 6015 + }, + { + "entropy": 5.313539266586304, + "epoch": 6.068582955118507, + "grad_norm": 1.359375, + "learning_rate": 0.00023055042906285368, + "loss": 4.5749, + "mean_token_accuracy": 0.2176797240972519, + "num_tokens": 13304254.0, + "step": 6020 + }, + { + "entropy": 5.43445520401001, + "epoch": 6.073625819465456, + "grad_norm": 1.484375, + "learning_rate": 0.0002301616500582398, + "loss": 4.7142, + "mean_token_accuracy": 0.2070741280913353, + "num_tokens": 13313243.0, + "step": 6025 + }, + { + "entropy": 5.311390542984009, + "epoch": 6.078668683812405, + "grad_norm": 1.265625, + "learning_rate": 0.00022977301041225207, + "loss": 4.6181, + "mean_token_accuracy": 0.2188905104994774, + "num_tokens": 13324519.0, + "step": 6030 + }, + { + "entropy": 5.357176828384399, + "epoch": 6.083711548159354, + "grad_norm": 1.4375, + "learning_rate": 0.00022938451133279114, + "loss": 4.6547, + "mean_token_accuracy": 0.21753127127885818, + "num_tokens": 13335734.0, + "step": 6035 + }, + { + "entropy": 5.370665502548218, + "epoch": 6.088754412506304, + "grad_norm": 1.390625, + "learning_rate": 0.00022899615402732133, + "loss": 4.5943, + "mean_token_accuracy": 0.22275642305612564, + "num_tokens": 13347660.0, + "step": 6040 + }, + { + "entropy": 5.350598764419556, + "epoch": 6.093797276853253, + "grad_norm": 1.453125, + "learning_rate": 0.00022860793970286592, + "loss": 4.6277, + "mean_token_accuracy": 0.21988619714975358, + "num_tokens": 13357617.0, + "step": 6045 + }, + { + "entropy": 5.395689201354981, + "epoch": 6.098840141200202, + "grad_norm": 1.328125, + "learning_rate": 0.0002282198695660042, + "loss": 4.5862, + "mean_token_accuracy": 0.2198387399315834, + "num_tokens": 13368768.0, + "step": 6050 + }, + { + "entropy": 5.346694993972778, + "epoch": 6.103883005547151, + "grad_norm": 1.4140625, + "learning_rate": 0.00022783194482286684, + "loss": 4.6453, + "mean_token_accuracy": 0.22039656490087509, + "num_tokens": 13379387.0, + "step": 6055 + }, + { + "entropy": 5.406846761703491, + "epoch": 6.1089258698941, + "grad_norm": 1.390625, + "learning_rate": 0.0002274441666791332, + "loss": 4.7376, + "mean_token_accuracy": 0.21248052269220352, + "num_tokens": 13389672.0, + "step": 6060 + }, + { + "entropy": 5.338963890075684, + "epoch": 6.113968734241049, + "grad_norm": 1.234375, + "learning_rate": 0.00022705653634002648, + "loss": 4.6231, + "mean_token_accuracy": 0.21946075558662415, + "num_tokens": 13401283.0, + "step": 6065 + }, + { + "entropy": 5.415562868118286, + "epoch": 6.119011598587998, + "grad_norm": 1.390625, + "learning_rate": 0.00022666905501031077, + "loss": 4.6379, + "mean_token_accuracy": 0.21679987907409667, + "num_tokens": 13412204.0, + "step": 6070 + }, + { + "entropy": 5.370386219024658, + "epoch": 6.124054462934947, + "grad_norm": 1.5859375, + "learning_rate": 0.0002262817238942869, + "loss": 4.6357, + "mean_token_accuracy": 0.2189243346452713, + "num_tokens": 13421604.0, + "step": 6075 + }, + { + "entropy": 5.350414276123047, + "epoch": 6.1290973272818965, + "grad_norm": 1.3984375, + "learning_rate": 0.0002258945441957892, + "loss": 4.5956, + "mean_token_accuracy": 0.22632325291633607, + "num_tokens": 13433495.0, + "step": 6080 + }, + { + "entropy": 5.244142532348633, + "epoch": 6.134140191628846, + "grad_norm": 1.3515625, + "learning_rate": 0.0002255075171181807, + "loss": 4.5535, + "mean_token_accuracy": 0.22932200133800507, + "num_tokens": 13444238.0, + "step": 6085 + }, + { + "entropy": 5.355984163284302, + "epoch": 6.139183055975794, + "grad_norm": 1.4296875, + "learning_rate": 0.00022512064386435082, + "loss": 4.6282, + "mean_token_accuracy": 0.21517039686441422, + "num_tokens": 13455278.0, + "step": 6090 + }, + { + "entropy": 5.316662979125977, + "epoch": 6.144225920322743, + "grad_norm": 1.5234375, + "learning_rate": 0.0002247339256367103, + "loss": 4.6129, + "mean_token_accuracy": 0.22129908949136734, + "num_tokens": 13465557.0, + "step": 6095 + }, + { + "entropy": 5.310370254516601, + "epoch": 6.149268784669692, + "grad_norm": 1.2890625, + "learning_rate": 0.00022434736363718854, + "loss": 4.6029, + "mean_token_accuracy": 0.21749912351369857, + "num_tokens": 13476016.0, + "step": 6100 + }, + { + "entropy": 5.364461898803711, + "epoch": 6.154311649016641, + "grad_norm": 1.2109375, + "learning_rate": 0.00022396095906722897, + "loss": 4.7031, + "mean_token_accuracy": 0.21485815197229385, + "num_tokens": 13486948.0, + "step": 6105 + }, + { + "entropy": 5.438597822189331, + "epoch": 6.15935451336359, + "grad_norm": 1.1875, + "learning_rate": 0.0002235747131277861, + "loss": 4.7091, + "mean_token_accuracy": 0.21536669433116912, + "num_tokens": 13500019.0, + "step": 6110 + }, + { + "entropy": 5.407887125015259, + "epoch": 6.164397377710539, + "grad_norm": 1.3359375, + "learning_rate": 0.00022318862701932102, + "loss": 4.6515, + "mean_token_accuracy": 0.2189772292971611, + "num_tokens": 13510330.0, + "step": 6115 + }, + { + "entropy": 5.355879449844361, + "epoch": 6.1694402420574885, + "grad_norm": 1.484375, + "learning_rate": 0.00022280270194179836, + "loss": 4.5946, + "mean_token_accuracy": 0.2200791969895363, + "num_tokens": 13519864.0, + "step": 6120 + }, + { + "entropy": 5.361207008361816, + "epoch": 6.174483106404438, + "grad_norm": 1.3046875, + "learning_rate": 0.00022241693909468214, + "loss": 4.6766, + "mean_token_accuracy": 0.2130996748805046, + "num_tokens": 13531244.0, + "step": 6125 + }, + { + "entropy": 5.339847183227539, + "epoch": 6.179525970751387, + "grad_norm": 1.4765625, + "learning_rate": 0.00022203133967693217, + "loss": 4.7151, + "mean_token_accuracy": 0.20595722049474716, + "num_tokens": 13542947.0, + "step": 6130 + }, + { + "entropy": 5.30449914932251, + "epoch": 6.184568835098336, + "grad_norm": 1.359375, + "learning_rate": 0.00022164590488700042, + "loss": 4.5985, + "mean_token_accuracy": 0.21331556439399718, + "num_tokens": 13553218.0, + "step": 6135 + }, + { + "entropy": 5.317038726806641, + "epoch": 6.189611699445285, + "grad_norm": 1.453125, + "learning_rate": 0.00022126063592282696, + "loss": 4.5688, + "mean_token_accuracy": 0.22169348001480102, + "num_tokens": 13562894.0, + "step": 6140 + }, + { + "entropy": 5.316820907592773, + "epoch": 6.194654563792234, + "grad_norm": 1.3984375, + "learning_rate": 0.00022087553398183684, + "loss": 4.6617, + "mean_token_accuracy": 0.21474820077419282, + "num_tokens": 13574135.0, + "step": 6145 + }, + { + "entropy": 5.402669668197632, + "epoch": 6.199697428139183, + "grad_norm": 1.328125, + "learning_rate": 0.00022049060026093555, + "loss": 4.6639, + "mean_token_accuracy": 0.21896152347326278, + "num_tokens": 13585070.0, + "step": 6150 + }, + { + "entropy": 5.411625623703003, + "epoch": 6.204740292486132, + "grad_norm": 1.2265625, + "learning_rate": 0.00022010583595650617, + "loss": 4.6703, + "mean_token_accuracy": 0.21271731555461884, + "num_tokens": 13596732.0, + "step": 6155 + }, + { + "entropy": 5.348358297348023, + "epoch": 6.2097831568330815, + "grad_norm": 1.65625, + "learning_rate": 0.00021972124226440483, + "loss": 4.537, + "mean_token_accuracy": 0.22894130051136016, + "num_tokens": 13607080.0, + "step": 6160 + }, + { + "entropy": 5.266700696945191, + "epoch": 6.214826021180031, + "grad_norm": 1.4375, + "learning_rate": 0.00021933682037995772, + "loss": 4.547, + "mean_token_accuracy": 0.22299013733863832, + "num_tokens": 13617666.0, + "step": 6165 + }, + { + "entropy": 5.3108926773071286, + "epoch": 6.21986888552698, + "grad_norm": 1.3671875, + "learning_rate": 0.00021895257149795694, + "loss": 4.6349, + "mean_token_accuracy": 0.21472382843494414, + "num_tokens": 13628772.0, + "step": 6170 + }, + { + "entropy": 5.349781131744384, + "epoch": 6.224911749873929, + "grad_norm": 1.2890625, + "learning_rate": 0.0002185684968126569, + "loss": 4.6771, + "mean_token_accuracy": 0.21623874008655547, + "num_tokens": 13638895.0, + "step": 6175 + }, + { + "entropy": 5.330606746673584, + "epoch": 6.229954614220877, + "grad_norm": 1.3359375, + "learning_rate": 0.0002181845975177703, + "loss": 4.638, + "mean_token_accuracy": 0.23032449632883073, + "num_tokens": 13649485.0, + "step": 6180 + }, + { + "entropy": 5.3922313213348385, + "epoch": 6.234997478567826, + "grad_norm": 1.359375, + "learning_rate": 0.00021780087480646548, + "loss": 4.7619, + "mean_token_accuracy": 0.20294700264930726, + "num_tokens": 13661645.0, + "step": 6185 + }, + { + "entropy": 5.394072961807251, + "epoch": 6.240040342914775, + "grad_norm": 1.3515625, + "learning_rate": 0.0002174173298713611, + "loss": 4.6889, + "mean_token_accuracy": 0.22105761617422104, + "num_tokens": 13672835.0, + "step": 6190 + }, + { + "entropy": 5.372888088226318, + "epoch": 6.245083207261724, + "grad_norm": 1.2578125, + "learning_rate": 0.00021703396390452385, + "loss": 4.6908, + "mean_token_accuracy": 0.2088285729289055, + "num_tokens": 13684456.0, + "step": 6195 + }, + { + "entropy": 5.354840993881226, + "epoch": 6.2501260716086735, + "grad_norm": 1.3203125, + "learning_rate": 0.0002166507780974639, + "loss": 4.6093, + "mean_token_accuracy": 0.22428787052631377, + "num_tokens": 13694919.0, + "step": 6200 + }, + { + "entropy": 5.369553947448731, + "epoch": 6.255168935955623, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162677736411317, + "loss": 4.6122, + "mean_token_accuracy": 0.22572187781333924, + "num_tokens": 13704872.0, + "step": 6205 + }, + { + "entropy": 5.3212902545928955, + "epoch": 6.260211800302572, + "grad_norm": 1.25, + "learning_rate": 0.00021588495172591377, + "loss": 4.6228, + "mean_token_accuracy": 0.22438545972108842, + "num_tokens": 13715937.0, + "step": 6210 + }, + { + "entropy": 5.334011268615723, + "epoch": 6.265254664649521, + "grad_norm": 1.2890625, + "learning_rate": 0.00021550231354162957, + "loss": 4.584, + "mean_token_accuracy": 0.2193437248468399, + "num_tokens": 13726785.0, + "step": 6215 + }, + { + "entropy": 5.341703176498413, + "epoch": 6.27029752899647, + "grad_norm": 1.203125, + "learning_rate": 0.00021511986027752733, + "loss": 4.6651, + "mean_token_accuracy": 0.21637360155582427, + "num_tokens": 13738302.0, + "step": 6220 + }, + { + "entropy": 5.392094945907592, + "epoch": 6.275340393343419, + "grad_norm": 1.4765625, + "learning_rate": 0.0002147375931222807, + "loss": 4.6329, + "mean_token_accuracy": 0.21986114233732224, + "num_tokens": 13748602.0, + "step": 6225 + }, + { + "entropy": 5.350520086288452, + "epoch": 6.280383257690368, + "grad_norm": 1.5234375, + "learning_rate": 0.00021435551326398478, + "loss": 4.6456, + "mean_token_accuracy": 0.21305105686187745, + "num_tokens": 13758861.0, + "step": 6230 + }, + { + "entropy": 5.300534296035766, + "epoch": 6.285426122037317, + "grad_norm": 1.296875, + "learning_rate": 0.00021397362189015263, + "loss": 4.677, + "mean_token_accuracy": 0.21868122965097428, + "num_tokens": 13769402.0, + "step": 6235 + }, + { + "entropy": 5.353175067901612, + "epoch": 6.290468986384266, + "grad_norm": 1.2890625, + "learning_rate": 0.00021359192018771127, + "loss": 4.6571, + "mean_token_accuracy": 0.21360769867897034, + "num_tokens": 13779899.0, + "step": 6240 + }, + { + "entropy": 5.359490823745728, + "epoch": 6.2955118507312156, + "grad_norm": 1.3359375, + "learning_rate": 0.00021321040934299852, + "loss": 4.6481, + "mean_token_accuracy": 0.21949803233146667, + "num_tokens": 13790417.0, + "step": 6245 + }, + { + "entropy": 5.351253271102905, + "epoch": 6.300554715078165, + "grad_norm": 1.25, + "learning_rate": 0.00021282909054175903, + "loss": 4.7298, + "mean_token_accuracy": 0.21616025418043136, + "num_tokens": 13801699.0, + "step": 6250 + }, + { + "entropy": 5.4068121910095215, + "epoch": 6.305597579425114, + "grad_norm": 1.328125, + "learning_rate": 0.0002124479649691402, + "loss": 4.7392, + "mean_token_accuracy": 0.20651510655879973, + "num_tokens": 13813364.0, + "step": 6255 + }, + { + "entropy": 5.340871429443359, + "epoch": 6.310640443772063, + "grad_norm": 1.1953125, + "learning_rate": 0.00021206703380968923, + "loss": 4.6, + "mean_token_accuracy": 0.2187330424785614, + "num_tokens": 13824506.0, + "step": 6260 + }, + { + "entropy": 5.336052083969117, + "epoch": 6.315683308119011, + "grad_norm": 1.1015625, + "learning_rate": 0.00021168629824734887, + "loss": 4.6607, + "mean_token_accuracy": 0.21441861540079116, + "num_tokens": 13836659.0, + "step": 6265 + }, + { + "entropy": 5.348361825942993, + "epoch": 6.32072617246596, + "grad_norm": 1.296875, + "learning_rate": 0.00021130575946545416, + "loss": 4.624, + "mean_token_accuracy": 0.2183840185403824, + "num_tokens": 13848710.0, + "step": 6270 + }, + { + "entropy": 5.3680816173553465, + "epoch": 6.325769036812909, + "grad_norm": 1.3203125, + "learning_rate": 0.00021092541864672825, + "loss": 4.6752, + "mean_token_accuracy": 0.21302510052919388, + "num_tokens": 13860848.0, + "step": 6275 + }, + { + "entropy": 5.298371648788452, + "epoch": 6.3308119011598585, + "grad_norm": 1.3671875, + "learning_rate": 0.00021054527697327935, + "loss": 4.6038, + "mean_token_accuracy": 0.2222062274813652, + "num_tokens": 13871765.0, + "step": 6280 + }, + { + "entropy": 5.34125771522522, + "epoch": 6.335854765506808, + "grad_norm": 1.25, + "learning_rate": 0.00021016533562659634, + "loss": 4.6614, + "mean_token_accuracy": 0.2144114688038826, + "num_tokens": 13883140.0, + "step": 6285 + }, + { + "entropy": 5.373456430435181, + "epoch": 6.340897629853757, + "grad_norm": 1.3671875, + "learning_rate": 0.00020978559578754586, + "loss": 4.5851, + "mean_token_accuracy": 0.21404719054698945, + "num_tokens": 13894054.0, + "step": 6290 + }, + { + "entropy": 5.344057226181031, + "epoch": 6.345940494200706, + "grad_norm": 1.234375, + "learning_rate": 0.000209406058636368, + "loss": 4.6554, + "mean_token_accuracy": 0.22404983639717102, + "num_tokens": 13906268.0, + "step": 6295 + }, + { + "entropy": 5.376866865158081, + "epoch": 6.350983358547655, + "grad_norm": 1.3203125, + "learning_rate": 0.00020902672535267315, + "loss": 4.6842, + "mean_token_accuracy": 0.21459552645683289, + "num_tokens": 13918450.0, + "step": 6300 + }, + { + "entropy": 5.4287337303161625, + "epoch": 6.356026222894604, + "grad_norm": 1.4296875, + "learning_rate": 0.00020864759711543762, + "loss": 4.7571, + "mean_token_accuracy": 0.20267379730939866, + "num_tokens": 13930725.0, + "step": 6305 + }, + { + "entropy": 5.338146209716797, + "epoch": 6.361069087241553, + "grad_norm": 1.421875, + "learning_rate": 0.0002082686751030009, + "loss": 4.6797, + "mean_token_accuracy": 0.21307668685913086, + "num_tokens": 13942566.0, + "step": 6310 + }, + { + "entropy": 5.3399018287658695, + "epoch": 6.366111951588502, + "grad_norm": 1.453125, + "learning_rate": 0.0002078899604930613, + "loss": 4.6377, + "mean_token_accuracy": 0.2226533278822899, + "num_tokens": 13952909.0, + "step": 6315 + }, + { + "entropy": 5.390378141403199, + "epoch": 6.371154815935451, + "grad_norm": 1.328125, + "learning_rate": 0.00020751145446267267, + "loss": 4.6753, + "mean_token_accuracy": 0.20825050324201583, + "num_tokens": 13963726.0, + "step": 6320 + }, + { + "entropy": 5.388576364517212, + "epoch": 6.3761976802824005, + "grad_norm": 1.2578125, + "learning_rate": 0.0002071331581882403, + "loss": 4.6808, + "mean_token_accuracy": 0.2166823759675026, + "num_tokens": 13974795.0, + "step": 6325 + }, + { + "entropy": 5.278568983078003, + "epoch": 6.38124054462935, + "grad_norm": 1.3125, + "learning_rate": 0.00020675507284551793, + "loss": 4.5754, + "mean_token_accuracy": 0.22193012982606888, + "num_tokens": 13985801.0, + "step": 6330 + }, + { + "entropy": 5.304547882080078, + "epoch": 6.386283408976299, + "grad_norm": 1.359375, + "learning_rate": 0.00020637719960960333, + "loss": 4.5997, + "mean_token_accuracy": 0.22491419911384583, + "num_tokens": 13996559.0, + "step": 6335 + }, + { + "entropy": 5.331219720840454, + "epoch": 6.391326273323248, + "grad_norm": 1.4453125, + "learning_rate": 0.00020599953965493535, + "loss": 4.6439, + "mean_token_accuracy": 0.22134149819612503, + "num_tokens": 14006937.0, + "step": 6340 + }, + { + "entropy": 5.240631008148194, + "epoch": 6.396369137670197, + "grad_norm": 1.3671875, + "learning_rate": 0.00020562209415528982, + "loss": 4.5258, + "mean_token_accuracy": 0.2256957098841667, + "num_tokens": 14018304.0, + "step": 6345 + }, + { + "entropy": 5.362255668640136, + "epoch": 6.401412002017146, + "grad_norm": 1.3125, + "learning_rate": 0.00020524486428377605, + "loss": 4.6826, + "mean_token_accuracy": 0.2162995755672455, + "num_tokens": 14030515.0, + "step": 6350 + }, + { + "entropy": 5.346472644805909, + "epoch": 6.406454866364095, + "grad_norm": 1.4375, + "learning_rate": 0.0002048678512128332, + "loss": 4.6712, + "mean_token_accuracy": 0.2177198573946953, + "num_tokens": 14043174.0, + "step": 6355 + }, + { + "entropy": 5.35426893234253, + "epoch": 6.411497730711044, + "grad_norm": 1.46875, + "learning_rate": 0.00020449105611422658, + "loss": 4.5765, + "mean_token_accuracy": 0.21691970378160477, + "num_tokens": 14053450.0, + "step": 6360 + }, + { + "entropy": 5.310212850570679, + "epoch": 6.416540595057993, + "grad_norm": 1.4453125, + "learning_rate": 0.00020411448015904415, + "loss": 4.6163, + "mean_token_accuracy": 0.21984127759933472, + "num_tokens": 14063672.0, + "step": 6365 + }, + { + "entropy": 5.348818016052246, + "epoch": 6.421583459404942, + "grad_norm": 1.34375, + "learning_rate": 0.00020373812451769248, + "loss": 4.6434, + "mean_token_accuracy": 0.22358427196741104, + "num_tokens": 14074372.0, + "step": 6370 + }, + { + "entropy": 5.390470409393311, + "epoch": 6.426626323751891, + "grad_norm": 1.3515625, + "learning_rate": 0.00020336199035989372, + "loss": 4.6654, + "mean_token_accuracy": 0.21343498528003693, + "num_tokens": 14086006.0, + "step": 6375 + }, + { + "entropy": 5.342592477798462, + "epoch": 6.43166918809884, + "grad_norm": 1.453125, + "learning_rate": 0.0002029860788546814, + "loss": 4.6187, + "mean_token_accuracy": 0.2203216001391411, + "num_tokens": 14096694.0, + "step": 6380 + }, + { + "entropy": 5.367334270477295, + "epoch": 6.436712052445789, + "grad_norm": 1.375, + "learning_rate": 0.00020261039117039725, + "loss": 4.6466, + "mean_token_accuracy": 0.21076540052890777, + "num_tokens": 14106734.0, + "step": 6385 + }, + { + "entropy": 5.361822891235351, + "epoch": 6.441754916792738, + "grad_norm": 1.4765625, + "learning_rate": 0.00020223492847468722, + "loss": 4.6802, + "mean_token_accuracy": 0.21798644959926605, + "num_tokens": 14117488.0, + "step": 6390 + }, + { + "entropy": 5.377425670623779, + "epoch": 6.446797781139687, + "grad_norm": 1.5, + "learning_rate": 0.0002018596919344981, + "loss": 4.6585, + "mean_token_accuracy": 0.22138290703296662, + "num_tokens": 14127661.0, + "step": 6395 + }, + { + "entropy": 5.357834720611573, + "epoch": 6.451840645486636, + "grad_norm": 1.2890625, + "learning_rate": 0.00020148468271607352, + "loss": 4.6532, + "mean_token_accuracy": 0.2156420975923538, + "num_tokens": 14140062.0, + "step": 6400 + }, + { + "entropy": 5.3001574039459225, + "epoch": 6.4568835098335855, + "grad_norm": 1.203125, + "learning_rate": 0.00020110990198495105, + "loss": 4.6498, + "mean_token_accuracy": 0.20930435806512832, + "num_tokens": 14151694.0, + "step": 6405 + }, + { + "entropy": 5.346147918701172, + "epoch": 6.461926374180535, + "grad_norm": 1.390625, + "learning_rate": 0.0002007353509059575, + "loss": 4.766, + "mean_token_accuracy": 0.20646919906139374, + "num_tokens": 14162783.0, + "step": 6410 + }, + { + "entropy": 5.345625734329223, + "epoch": 6.466969238527484, + "grad_norm": 1.453125, + "learning_rate": 0.00020036103064320664, + "loss": 4.6514, + "mean_token_accuracy": 0.2207430496811867, + "num_tokens": 14173630.0, + "step": 6415 + }, + { + "entropy": 5.373542451858521, + "epoch": 6.472012102874433, + "grad_norm": 1.3046875, + "learning_rate": 0.00019998694236009423, + "loss": 4.6738, + "mean_token_accuracy": 0.2150516092777252, + "num_tokens": 14185172.0, + "step": 6420 + }, + { + "entropy": 5.416106700897217, + "epoch": 6.477054967221382, + "grad_norm": 1.40625, + "learning_rate": 0.0001996130872192955, + "loss": 4.7052, + "mean_token_accuracy": 0.21251223981380463, + "num_tokens": 14197059.0, + "step": 6425 + }, + { + "entropy": 5.371108531951904, + "epoch": 6.482097831568331, + "grad_norm": 1.4921875, + "learning_rate": 0.00019923946638276052, + "loss": 4.6129, + "mean_token_accuracy": 0.21653929054737092, + "num_tokens": 14206589.0, + "step": 6430 + }, + { + "entropy": 5.263812732696533, + "epoch": 6.48714069591528, + "grad_norm": 1.3046875, + "learning_rate": 0.0001988660810117118, + "loss": 4.6039, + "mean_token_accuracy": 0.2187914878129959, + "num_tokens": 14218225.0, + "step": 6435 + }, + { + "entropy": 5.336437034606933, + "epoch": 6.492183560262229, + "grad_norm": 1.3359375, + "learning_rate": 0.0001984929322666395, + "loss": 4.6692, + "mean_token_accuracy": 0.2155090868473053, + "num_tokens": 14229758.0, + "step": 6440 + }, + { + "entropy": 5.284608507156372, + "epoch": 6.4972264246091775, + "grad_norm": 1.375, + "learning_rate": 0.00019812002130729857, + "loss": 4.537, + "mean_token_accuracy": 0.22633844316005708, + "num_tokens": 14240549.0, + "step": 6445 + }, + { + "entropy": 5.347523021697998, + "epoch": 6.502269288956127, + "grad_norm": 1.4140625, + "learning_rate": 0.00019774734929270483, + "loss": 4.5896, + "mean_token_accuracy": 0.21854414492845536, + "num_tokens": 14250542.0, + "step": 6450 + }, + { + "entropy": 5.252294301986694, + "epoch": 6.507312153303076, + "grad_norm": 1.4765625, + "learning_rate": 0.00019737491738113167, + "loss": 4.5954, + "mean_token_accuracy": 0.2224308580160141, + "num_tokens": 14260354.0, + "step": 6455 + }, + { + "entropy": 5.374626922607422, + "epoch": 6.512355017650025, + "grad_norm": 1.4375, + "learning_rate": 0.00019700272673010588, + "loss": 4.7269, + "mean_token_accuracy": 0.21083271354436875, + "num_tokens": 14271929.0, + "step": 6460 + }, + { + "entropy": 5.343776369094849, + "epoch": 6.517397881996974, + "grad_norm": 1.2109375, + "learning_rate": 0.0001966307784964046, + "loss": 4.6224, + "mean_token_accuracy": 0.2144081175327301, + "num_tokens": 14283249.0, + "step": 6465 + }, + { + "entropy": 5.373244571685791, + "epoch": 6.522440746343923, + "grad_norm": 1.265625, + "learning_rate": 0.00019625907383605162, + "loss": 4.714, + "mean_token_accuracy": 0.21002006083726882, + "num_tokens": 14293633.0, + "step": 6470 + }, + { + "entropy": 5.422092294692993, + "epoch": 6.527483610690872, + "grad_norm": 1.5234375, + "learning_rate": 0.00019588761390431354, + "loss": 4.7038, + "mean_token_accuracy": 0.21525713056325912, + "num_tokens": 14304219.0, + "step": 6475 + }, + { + "entropy": 5.313680267333984, + "epoch": 6.532526475037821, + "grad_norm": 1.3125, + "learning_rate": 0.00019551639985569642, + "loss": 4.6033, + "mean_token_accuracy": 0.22535481452941894, + "num_tokens": 14315355.0, + "step": 6480 + }, + { + "entropy": 5.42285795211792, + "epoch": 6.5375693393847705, + "grad_norm": 1.265625, + "learning_rate": 0.00019514543284394203, + "loss": 4.7739, + "mean_token_accuracy": 0.20810849070549012, + "num_tokens": 14327007.0, + "step": 6485 + }, + { + "entropy": 5.29453330039978, + "epoch": 6.54261220373172, + "grad_norm": 1.3984375, + "learning_rate": 0.00019477471402202452, + "loss": 4.6022, + "mean_token_accuracy": 0.21870456039905548, + "num_tokens": 14337981.0, + "step": 6490 + }, + { + "entropy": 5.371618175506592, + "epoch": 6.547655068078669, + "grad_norm": 1.234375, + "learning_rate": 0.00019440424454214645, + "loss": 4.7186, + "mean_token_accuracy": 0.2161049574613571, + "num_tokens": 14350727.0, + "step": 6495 + }, + { + "entropy": 5.449799823760986, + "epoch": 6.552697932425618, + "grad_norm": 1.3125, + "learning_rate": 0.00019403402555573547, + "loss": 4.783, + "mean_token_accuracy": 0.20688835978507997, + "num_tokens": 14362898.0, + "step": 6500 + }, + { + "entropy": 5.393431043624878, + "epoch": 6.557740796772567, + "grad_norm": 1.53125, + "learning_rate": 0.00019366405821344074, + "loss": 4.6567, + "mean_token_accuracy": 0.21516457498073577, + "num_tokens": 14373780.0, + "step": 6505 + }, + { + "entropy": 5.304720497131347, + "epoch": 6.562783661119516, + "grad_norm": 1.203125, + "learning_rate": 0.0001932943436651295, + "loss": 4.6348, + "mean_token_accuracy": 0.21173483729362488, + "num_tokens": 14384637.0, + "step": 6510 + }, + { + "entropy": 5.371453905105591, + "epoch": 6.567826525466465, + "grad_norm": 1.25, + "learning_rate": 0.00019292488305988276, + "loss": 4.6329, + "mean_token_accuracy": 0.2233852192759514, + "num_tokens": 14396524.0, + "step": 6515 + }, + { + "entropy": 5.377205085754395, + "epoch": 6.572869389813414, + "grad_norm": 1.46875, + "learning_rate": 0.0001925556775459929, + "loss": 4.6168, + "mean_token_accuracy": 0.21723289787769318, + "num_tokens": 14406098.0, + "step": 6520 + }, + { + "entropy": 5.355901622772217, + "epoch": 6.577912254160363, + "grad_norm": 1.4375, + "learning_rate": 0.000192186728270959, + "loss": 4.6645, + "mean_token_accuracy": 0.20990855246782303, + "num_tokens": 14417324.0, + "step": 6525 + }, + { + "entropy": 5.381169271469116, + "epoch": 6.5829551185073125, + "grad_norm": 1.4765625, + "learning_rate": 0.000191818036381484, + "loss": 4.6631, + "mean_token_accuracy": 0.21148277074098587, + "num_tokens": 14427776.0, + "step": 6530 + }, + { + "entropy": 5.30445294380188, + "epoch": 6.587997982854262, + "grad_norm": 1.515625, + "learning_rate": 0.00019144960302347065, + "loss": 4.6303, + "mean_token_accuracy": 0.2213727429509163, + "num_tokens": 14438730.0, + "step": 6535 + }, + { + "entropy": 5.361790180206299, + "epoch": 6.593040847201211, + "grad_norm": 1.4375, + "learning_rate": 0.00019108142934201854, + "loss": 4.7039, + "mean_token_accuracy": 0.20856965482234954, + "num_tokens": 14451704.0, + "step": 6540 + }, + { + "entropy": 5.284628009796142, + "epoch": 6.598083711548159, + "grad_norm": 1.5546875, + "learning_rate": 0.00019071351648141977, + "loss": 4.6602, + "mean_token_accuracy": 0.21091823130846024, + "num_tokens": 14461921.0, + "step": 6545 + }, + { + "entropy": 5.34711799621582, + "epoch": 6.603126575895108, + "grad_norm": 1.375, + "learning_rate": 0.00019034586558515625, + "loss": 4.6493, + "mean_token_accuracy": 0.21133901923894882, + "num_tokens": 14472912.0, + "step": 6550 + }, + { + "entropy": 5.374591112136841, + "epoch": 6.608169440242057, + "grad_norm": 1.28125, + "learning_rate": 0.00018997847779589518, + "loss": 4.6743, + "mean_token_accuracy": 0.2123213902115822, + "num_tokens": 14484363.0, + "step": 6555 + }, + { + "entropy": 5.3053964138031, + "epoch": 6.613212304589006, + "grad_norm": 1.3359375, + "learning_rate": 0.00018961135425548642, + "loss": 4.5649, + "mean_token_accuracy": 0.22226291745901108, + "num_tokens": 14494793.0, + "step": 6560 + }, + { + "entropy": 5.34075403213501, + "epoch": 6.6182551689359554, + "grad_norm": 1.296875, + "learning_rate": 0.00018924449610495836, + "loss": 4.6868, + "mean_token_accuracy": 0.22028399556875228, + "num_tokens": 14506824.0, + "step": 6565 + }, + { + "entropy": 5.331904077529908, + "epoch": 6.623298033282905, + "grad_norm": 1.40625, + "learning_rate": 0.00018887790448451458, + "loss": 4.6502, + "mean_token_accuracy": 0.22305871844291686, + "num_tokens": 14518178.0, + "step": 6570 + }, + { + "entropy": 5.2953855991363525, + "epoch": 6.628340897629854, + "grad_norm": 1.2265625, + "learning_rate": 0.0001885115805335304, + "loss": 4.5705, + "mean_token_accuracy": 0.22343843579292297, + "num_tokens": 14529497.0, + "step": 6575 + }, + { + "entropy": 5.366054821014404, + "epoch": 6.633383761976803, + "grad_norm": 1.3515625, + "learning_rate": 0.00018814552539054896, + "loss": 4.7029, + "mean_token_accuracy": 0.21585332602262497, + "num_tokens": 14540992.0, + "step": 6580 + }, + { + "entropy": 5.3471770763397215, + "epoch": 6.638426626323752, + "grad_norm": 1.2265625, + "learning_rate": 0.00018777974019327826, + "loss": 4.6521, + "mean_token_accuracy": 0.21429850459098815, + "num_tokens": 14552078.0, + "step": 6585 + }, + { + "entropy": 5.375272750854492, + "epoch": 6.643469490670701, + "grad_norm": 1.3203125, + "learning_rate": 0.00018741422607858693, + "loss": 4.7274, + "mean_token_accuracy": 0.20748427808284758, + "num_tokens": 14563949.0, + "step": 6590 + }, + { + "entropy": 5.312350845336914, + "epoch": 6.64851235501765, + "grad_norm": 1.6484375, + "learning_rate": 0.00018704898418250143, + "loss": 4.648, + "mean_token_accuracy": 0.22181300967931747, + "num_tokens": 14574981.0, + "step": 6595 + }, + { + "entropy": 5.275086116790772, + "epoch": 6.653555219364599, + "grad_norm": 1.296875, + "learning_rate": 0.00018668401564020192, + "loss": 4.6285, + "mean_token_accuracy": 0.21577722877264022, + "num_tokens": 14585318.0, + "step": 6600 + }, + { + "entropy": 5.312783718109131, + "epoch": 6.658598083711548, + "grad_norm": 1.2734375, + "learning_rate": 0.00018631932158601905, + "loss": 4.6547, + "mean_token_accuracy": 0.21883989572525026, + "num_tokens": 14597265.0, + "step": 6605 + }, + { + "entropy": 5.365548801422119, + "epoch": 6.6636409480584975, + "grad_norm": 1.390625, + "learning_rate": 0.00018595490315343038, + "loss": 4.7025, + "mean_token_accuracy": 0.2111709460616112, + "num_tokens": 14606943.0, + "step": 6610 + }, + { + "entropy": 5.311564970016479, + "epoch": 6.668683812405447, + "grad_norm": 1.359375, + "learning_rate": 0.00018559076147505688, + "loss": 4.6501, + "mean_token_accuracy": 0.21835977733135223, + "num_tokens": 14617756.0, + "step": 6615 + }, + { + "entropy": 5.312956142425537, + "epoch": 6.673726676752396, + "grad_norm": 1.3515625, + "learning_rate": 0.00018522689768265911, + "loss": 4.6371, + "mean_token_accuracy": 0.21607528179883956, + "num_tokens": 14628418.0, + "step": 6620 + }, + { + "entropy": 5.357146310806274, + "epoch": 6.678769541099344, + "grad_norm": 1.28125, + "learning_rate": 0.00018486331290713427, + "loss": 4.6334, + "mean_token_accuracy": 0.2163918673992157, + "num_tokens": 14640489.0, + "step": 6625 + }, + { + "entropy": 5.316901111602784, + "epoch": 6.683812405446293, + "grad_norm": 1.3046875, + "learning_rate": 0.00018450000827851217, + "loss": 4.6337, + "mean_token_accuracy": 0.21358822882175446, + "num_tokens": 14650933.0, + "step": 6630 + }, + { + "entropy": 5.3136420249938965, + "epoch": 6.688855269793242, + "grad_norm": 1.3515625, + "learning_rate": 0.000184136984925952, + "loss": 4.5944, + "mean_token_accuracy": 0.21613629311323165, + "num_tokens": 14661288.0, + "step": 6635 + }, + { + "entropy": 5.3822578430175785, + "epoch": 6.693898134140191, + "grad_norm": 1.296875, + "learning_rate": 0.0001837742439777386, + "loss": 4.7177, + "mean_token_accuracy": 0.20961424112319946, + "num_tokens": 14673088.0, + "step": 6640 + }, + { + "entropy": 5.314380884170532, + "epoch": 6.69894099848714, + "grad_norm": 1.421875, + "learning_rate": 0.00018341178656127948, + "loss": 4.6481, + "mean_token_accuracy": 0.21658485382795334, + "num_tokens": 14683761.0, + "step": 6645 + }, + { + "entropy": 5.401474285125732, + "epoch": 6.7039838628340895, + "grad_norm": 1.2890625, + "learning_rate": 0.00018304961380310038, + "loss": 4.6846, + "mean_token_accuracy": 0.21234268546104432, + "num_tokens": 14696567.0, + "step": 6650 + }, + { + "entropy": 5.388226461410523, + "epoch": 6.709026727181039, + "grad_norm": 1.3671875, + "learning_rate": 0.00018268772682884273, + "loss": 4.7323, + "mean_token_accuracy": 0.211135932803154, + "num_tokens": 14708358.0, + "step": 6655 + }, + { + "entropy": 5.300543594360351, + "epoch": 6.714069591527988, + "grad_norm": 1.6328125, + "learning_rate": 0.00018232612676325944, + "loss": 4.6364, + "mean_token_accuracy": 0.2189777597784996, + "num_tokens": 14717987.0, + "step": 6660 + }, + { + "entropy": 5.3876307010650635, + "epoch": 6.719112455874937, + "grad_norm": 1.453125, + "learning_rate": 0.0001819648147302121, + "loss": 4.5936, + "mean_token_accuracy": 0.22396490573883057, + "num_tokens": 14728536.0, + "step": 6665 + }, + { + "entropy": 5.348317575454712, + "epoch": 6.724155320221886, + "grad_norm": 1.2265625, + "learning_rate": 0.00018160379185266662, + "loss": 4.6208, + "mean_token_accuracy": 0.21860901415348052, + "num_tokens": 14740570.0, + "step": 6670 + }, + { + "entropy": 5.383673810958863, + "epoch": 6.729198184568835, + "grad_norm": 1.328125, + "learning_rate": 0.00018124305925269058, + "loss": 4.7548, + "mean_token_accuracy": 0.20642643868923188, + "num_tokens": 14752174.0, + "step": 6675 + }, + { + "entropy": 5.331220912933349, + "epoch": 6.734241048915784, + "grad_norm": 1.3515625, + "learning_rate": 0.00018088261805144918, + "loss": 4.6178, + "mean_token_accuracy": 0.22881786674261093, + "num_tokens": 14762891.0, + "step": 6680 + }, + { + "entropy": 5.331395864486694, + "epoch": 6.739283913262733, + "grad_norm": 1.390625, + "learning_rate": 0.00018052246936920192, + "loss": 4.6388, + "mean_token_accuracy": 0.22367337346076965, + "num_tokens": 14773397.0, + "step": 6685 + }, + { + "entropy": 5.355164384841919, + "epoch": 6.7443267776096825, + "grad_norm": 1.328125, + "learning_rate": 0.00018016261432529928, + "loss": 4.5991, + "mean_token_accuracy": 0.22476366609334947, + "num_tokens": 14785865.0, + "step": 6690 + }, + { + "entropy": 5.361586427688598, + "epoch": 6.749369641956632, + "grad_norm": 1.46875, + "learning_rate": 0.00017980305403817893, + "loss": 4.6679, + "mean_token_accuracy": 0.21399696469306945, + "num_tokens": 14796732.0, + "step": 6695 + }, + { + "entropy": 5.345164823532104, + "epoch": 6.754412506303581, + "grad_norm": 1.53125, + "learning_rate": 0.00017944378962536279, + "loss": 4.6832, + "mean_token_accuracy": 0.21574979424476623, + "num_tokens": 14807356.0, + "step": 6700 + }, + { + "entropy": 5.30222806930542, + "epoch": 6.75945537065053, + "grad_norm": 1.40625, + "learning_rate": 0.00017908482220345268, + "loss": 4.5828, + "mean_token_accuracy": 0.22636306285858154, + "num_tokens": 14819201.0, + "step": 6705 + }, + { + "entropy": 5.290832901000977, + "epoch": 6.764498234997479, + "grad_norm": 1.34375, + "learning_rate": 0.00017872615288812787, + "loss": 4.6808, + "mean_token_accuracy": 0.2133016660809517, + "num_tokens": 14829996.0, + "step": 6710 + }, + { + "entropy": 5.3180242538452145, + "epoch": 6.769541099344428, + "grad_norm": 1.3125, + "learning_rate": 0.00017836778279414057, + "loss": 4.6594, + "mean_token_accuracy": 0.21321381479501725, + "num_tokens": 14840994.0, + "step": 6715 + }, + { + "entropy": 5.304784536361694, + "epoch": 6.774583963691377, + "grad_norm": 1.34375, + "learning_rate": 0.00017800971303531354, + "loss": 4.6422, + "mean_token_accuracy": 0.21603736281394958, + "num_tokens": 14851643.0, + "step": 6720 + }, + { + "entropy": 5.348932075500488, + "epoch": 6.779626828038325, + "grad_norm": 1.4375, + "learning_rate": 0.0001776519447245356, + "loss": 4.6607, + "mean_token_accuracy": 0.21616029739379883, + "num_tokens": 14862017.0, + "step": 6725 + }, + { + "entropy": 5.279548406600952, + "epoch": 6.7846696923852745, + "grad_norm": 1.4140625, + "learning_rate": 0.00017729447897375927, + "loss": 4.6092, + "mean_token_accuracy": 0.21939080953598022, + "num_tokens": 14872754.0, + "step": 6730 + }, + { + "entropy": 5.295262670516967, + "epoch": 6.789712556732224, + "grad_norm": 1.34375, + "learning_rate": 0.00017693731689399605, + "loss": 4.6379, + "mean_token_accuracy": 0.21290521919727326, + "num_tokens": 14883841.0, + "step": 6735 + }, + { + "entropy": 5.287308168411255, + "epoch": 6.794755421079173, + "grad_norm": 1.484375, + "learning_rate": 0.00017658045959531416, + "loss": 4.6197, + "mean_token_accuracy": 0.21733115315437318, + "num_tokens": 14894317.0, + "step": 6740 + }, + { + "entropy": 5.381797361373901, + "epoch": 6.799798285426122, + "grad_norm": 1.265625, + "learning_rate": 0.00017622390818683404, + "loss": 4.6537, + "mean_token_accuracy": 0.2198000058531761, + "num_tokens": 14905636.0, + "step": 6745 + }, + { + "entropy": 5.338959789276123, + "epoch": 6.804841149773071, + "grad_norm": 1.53125, + "learning_rate": 0.00017586766377672593, + "loss": 4.6023, + "mean_token_accuracy": 0.2251695841550827, + "num_tokens": 14916335.0, + "step": 6750 + }, + { + "entropy": 5.322839021682739, + "epoch": 6.80988401412002, + "grad_norm": 1.5, + "learning_rate": 0.00017551172747220552, + "loss": 4.6548, + "mean_token_accuracy": 0.21657199263572693, + "num_tokens": 14926697.0, + "step": 6755 + }, + { + "entropy": 5.309933185577393, + "epoch": 6.814926878466969, + "grad_norm": 1.4375, + "learning_rate": 0.00017515610037953112, + "loss": 4.6997, + "mean_token_accuracy": 0.20491381734609604, + "num_tokens": 14938821.0, + "step": 6760 + }, + { + "entropy": 5.345283365249633, + "epoch": 6.819969742813918, + "grad_norm": 1.3203125, + "learning_rate": 0.0001748007836039999, + "loss": 4.6749, + "mean_token_accuracy": 0.21463018506765366, + "num_tokens": 14950671.0, + "step": 6765 + }, + { + "entropy": 5.400843763351441, + "epoch": 6.825012607160867, + "grad_norm": 1.359375, + "learning_rate": 0.00017444577824994475, + "loss": 4.6414, + "mean_token_accuracy": 0.21676749587059022, + "num_tokens": 14961579.0, + "step": 6770 + }, + { + "entropy": 5.295256042480469, + "epoch": 6.8300554715078166, + "grad_norm": 1.515625, + "learning_rate": 0.0001740910854207303, + "loss": 4.6115, + "mean_token_accuracy": 0.2133998990058899, + "num_tokens": 14971747.0, + "step": 6775 + }, + { + "entropy": 5.283566284179687, + "epoch": 6.835098335854766, + "grad_norm": 1.34375, + "learning_rate": 0.00017373670621875016, + "loss": 4.6622, + "mean_token_accuracy": 0.2162500098347664, + "num_tokens": 14982575.0, + "step": 6780 + }, + { + "entropy": 5.351551914215088, + "epoch": 6.840141200201715, + "grad_norm": 1.2890625, + "learning_rate": 0.000173382641745423, + "loss": 4.6925, + "mean_token_accuracy": 0.21079863756895065, + "num_tokens": 14995301.0, + "step": 6785 + }, + { + "entropy": 5.3515832901000975, + "epoch": 6.845184064548664, + "grad_norm": 1.2734375, + "learning_rate": 0.0001730288931011893, + "loss": 4.662, + "mean_token_accuracy": 0.21524953246116638, + "num_tokens": 15007033.0, + "step": 6790 + }, + { + "entropy": 5.327978610992432, + "epoch": 6.850226928895613, + "grad_norm": 1.4765625, + "learning_rate": 0.00017267546138550823, + "loss": 4.6446, + "mean_token_accuracy": 0.22024314105510712, + "num_tokens": 15018431.0, + "step": 6795 + }, + { + "entropy": 5.368574905395508, + "epoch": 6.855269793242562, + "grad_norm": 1.2109375, + "learning_rate": 0.00017232234769685358, + "loss": 4.6645, + "mean_token_accuracy": 0.21696822643280028, + "num_tokens": 15030066.0, + "step": 6800 + }, + { + "entropy": 5.328826427459717, + "epoch": 6.86031265758951, + "grad_norm": 1.609375, + "learning_rate": 0.00017196955313271086, + "loss": 4.6339, + "mean_token_accuracy": 0.2093048632144928, + "num_tokens": 15039888.0, + "step": 6805 + }, + { + "entropy": 5.269174385070801, + "epoch": 6.8653555219364595, + "grad_norm": 1.2578125, + "learning_rate": 0.00017161707878957368, + "loss": 4.6103, + "mean_token_accuracy": 0.22062758058309556, + "num_tokens": 15051550.0, + "step": 6810 + }, + { + "entropy": 5.370995664596558, + "epoch": 6.870398386283409, + "grad_norm": 1.1640625, + "learning_rate": 0.00017126492576294053, + "loss": 4.6331, + "mean_token_accuracy": 0.21404555141925813, + "num_tokens": 15063026.0, + "step": 6815 + }, + { + "entropy": 5.36248083114624, + "epoch": 6.875441250630358, + "grad_norm": 1.2734375, + "learning_rate": 0.0001709130951473109, + "loss": 4.6577, + "mean_token_accuracy": 0.21238561123609542, + "num_tokens": 15073797.0, + "step": 6820 + }, + { + "entropy": 5.317653179168701, + "epoch": 6.880484114977307, + "grad_norm": 1.3125, + "learning_rate": 0.00017056158803618277, + "loss": 4.6379, + "mean_token_accuracy": 0.22134413421154023, + "num_tokens": 15085481.0, + "step": 6825 + }, + { + "entropy": 5.251279306411743, + "epoch": 6.885526979324256, + "grad_norm": 1.3359375, + "learning_rate": 0.00017021040552204814, + "loss": 4.6052, + "mean_token_accuracy": 0.21521301120519637, + "num_tokens": 15096366.0, + "step": 6830 + }, + { + "entropy": 5.305837774276734, + "epoch": 6.890569843671205, + "grad_norm": 1.34375, + "learning_rate": 0.00016985954869639048, + "loss": 4.7055, + "mean_token_accuracy": 0.20472221821546555, + "num_tokens": 15107804.0, + "step": 6835 + }, + { + "entropy": 5.300729036331177, + "epoch": 6.895612708018154, + "grad_norm": 1.3359375, + "learning_rate": 0.00016950901864968076, + "loss": 4.6014, + "mean_token_accuracy": 0.22149758338928222, + "num_tokens": 15118737.0, + "step": 6840 + }, + { + "entropy": 5.338110113143921, + "epoch": 6.900655572365103, + "grad_norm": 1.40625, + "learning_rate": 0.00016915881647137465, + "loss": 4.7255, + "mean_token_accuracy": 0.21334645450115203, + "num_tokens": 15129645.0, + "step": 6845 + }, + { + "entropy": 5.3771895408630375, + "epoch": 6.905698436712052, + "grad_norm": 1.421875, + "learning_rate": 0.0001688089432499084, + "loss": 4.7056, + "mean_token_accuracy": 0.21627845615148544, + "num_tokens": 15141100.0, + "step": 6850 + }, + { + "entropy": 5.298923635482788, + "epoch": 6.9107413010590015, + "grad_norm": 1.40625, + "learning_rate": 0.00016845940007269617, + "loss": 4.5858, + "mean_token_accuracy": 0.2191134586930275, + "num_tokens": 15151637.0, + "step": 6855 + }, + { + "entropy": 5.3075010776519775, + "epoch": 6.915784165405951, + "grad_norm": 1.328125, + "learning_rate": 0.00016811018802612615, + "loss": 4.6485, + "mean_token_accuracy": 0.2203893929719925, + "num_tokens": 15162126.0, + "step": 6860 + }, + { + "entropy": 5.326016569137574, + "epoch": 6.9208270297529, + "grad_norm": 1.3125, + "learning_rate": 0.00016776130819555758, + "loss": 4.6232, + "mean_token_accuracy": 0.21959089487791061, + "num_tokens": 15172942.0, + "step": 6865 + }, + { + "entropy": 5.340472412109375, + "epoch": 6.925869894099849, + "grad_norm": 1.3984375, + "learning_rate": 0.00016741276166531684, + "loss": 4.6429, + "mean_token_accuracy": 0.2193739205598831, + "num_tokens": 15183534.0, + "step": 6870 + }, + { + "entropy": 5.341355037689209, + "epoch": 6.930912758446798, + "grad_norm": 1.3203125, + "learning_rate": 0.00016706454951869468, + "loss": 4.6648, + "mean_token_accuracy": 0.21327273845672606, + "num_tokens": 15193995.0, + "step": 6875 + }, + { + "entropy": 5.3681694030761715, + "epoch": 6.935955622793747, + "grad_norm": 1.2890625, + "learning_rate": 0.00016671667283794245, + "loss": 4.6921, + "mean_token_accuracy": 0.2116631254553795, + "num_tokens": 15204598.0, + "step": 6880 + }, + { + "entropy": 5.338287830352783, + "epoch": 6.940998487140696, + "grad_norm": 1.328125, + "learning_rate": 0.00016636913270426888, + "loss": 4.6352, + "mean_token_accuracy": 0.2109651193022728, + "num_tokens": 15216933.0, + "step": 6885 + }, + { + "entropy": 5.397768640518189, + "epoch": 6.946041351487645, + "grad_norm": 1.2890625, + "learning_rate": 0.00016602193019783673, + "loss": 4.7155, + "mean_token_accuracy": 0.21376636028289794, + "num_tokens": 15228227.0, + "step": 6890 + }, + { + "entropy": 5.360055685043335, + "epoch": 6.9510842158345945, + "grad_norm": 1.3984375, + "learning_rate": 0.00016567506639775947, + "loss": 4.695, + "mean_token_accuracy": 0.216583451628685, + "num_tokens": 15237701.0, + "step": 6895 + }, + { + "entropy": 5.345563650131226, + "epoch": 6.956127080181544, + "grad_norm": 1.3984375, + "learning_rate": 0.00016532854238209783, + "loss": 4.6815, + "mean_token_accuracy": 0.21556762009859085, + "num_tokens": 15248114.0, + "step": 6900 + }, + { + "entropy": 5.3354325771331785, + "epoch": 6.961169944528492, + "grad_norm": 1.25, + "learning_rate": 0.0001649823592278563, + "loss": 4.6663, + "mean_token_accuracy": 0.21585539281368255, + "num_tokens": 15259246.0, + "step": 6905 + }, + { + "entropy": 5.355136299133301, + "epoch": 6.966212808875441, + "grad_norm": 1.453125, + "learning_rate": 0.00016463651801098023, + "loss": 4.6543, + "mean_token_accuracy": 0.2154486283659935, + "num_tokens": 15270229.0, + "step": 6910 + }, + { + "entropy": 5.363860416412353, + "epoch": 6.97125567322239, + "grad_norm": 1.578125, + "learning_rate": 0.00016429101980635193, + "loss": 4.7132, + "mean_token_accuracy": 0.21458267122507096, + "num_tokens": 15280708.0, + "step": 6915 + }, + { + "entropy": 5.350880479812622, + "epoch": 6.976298537569339, + "grad_norm": 1.5703125, + "learning_rate": 0.00016394586568778795, + "loss": 4.6604, + "mean_token_accuracy": 0.21188926249742507, + "num_tokens": 15291010.0, + "step": 6920 + }, + { + "entropy": 5.327713346481323, + "epoch": 6.981341401916288, + "grad_norm": 1.4296875, + "learning_rate": 0.00016360105672803515, + "loss": 4.5811, + "mean_token_accuracy": 0.22991840690374374, + "num_tokens": 15301133.0, + "step": 6925 + }, + { + "entropy": 5.287805032730103, + "epoch": 6.986384266263237, + "grad_norm": 1.34375, + "learning_rate": 0.00016325659399876792, + "loss": 4.6535, + "mean_token_accuracy": 0.2193632423877716, + "num_tokens": 15311223.0, + "step": 6930 + }, + { + "entropy": 5.307404851913452, + "epoch": 6.9914271306101865, + "grad_norm": 1.3984375, + "learning_rate": 0.00016291247857058412, + "loss": 4.6804, + "mean_token_accuracy": 0.21644218415021896, + "num_tokens": 15321912.0, + "step": 6935 + }, + { + "entropy": 5.278178405761719, + "epoch": 6.996469994957136, + "grad_norm": 1.421875, + "learning_rate": 0.00016256871151300268, + "loss": 4.5682, + "mean_token_accuracy": 0.2209543615579605, + "num_tokens": 15333600.0, + "step": 6940 + }, + { + "entropy": 5.316867828369141, + "epoch": 7.00100857286939, + "grad_norm": 1.3359375, + "learning_rate": 0.00016222529389445928, + "loss": 4.6461, + "mean_token_accuracy": 0.21365364227030012, + "num_tokens": 15343920.0, + "step": 6945 + }, + { + "entropy": 5.351253032684326, + "epoch": 7.006051437216339, + "grad_norm": 1.3046875, + "learning_rate": 0.00016188222678230395, + "loss": 4.5276, + "mean_token_accuracy": 0.22726660519838332, + "num_tokens": 15355324.0, + "step": 6950 + }, + { + "entropy": 5.355388975143432, + "epoch": 7.011094301563288, + "grad_norm": 1.203125, + "learning_rate": 0.0001615395112427972, + "loss": 4.5708, + "mean_token_accuracy": 0.23247056305408478, + "num_tokens": 15366170.0, + "step": 6955 + }, + { + "entropy": 5.303373527526856, + "epoch": 7.016137165910237, + "grad_norm": 1.5078125, + "learning_rate": 0.0001611971483411069, + "loss": 4.4604, + "mean_token_accuracy": 0.24327995181083678, + "num_tokens": 15377384.0, + "step": 6960 + }, + { + "entropy": 5.312825536727905, + "epoch": 7.021180030257186, + "grad_norm": 1.4765625, + "learning_rate": 0.00016085513914130463, + "loss": 4.5574, + "mean_token_accuracy": 0.22749511003494263, + "num_tokens": 15388992.0, + "step": 6965 + }, + { + "entropy": 5.253768873214722, + "epoch": 7.026222894604135, + "grad_norm": 1.4921875, + "learning_rate": 0.00016051348470636306, + "loss": 4.4789, + "mean_token_accuracy": 0.2333448961377144, + "num_tokens": 15399757.0, + "step": 6970 + }, + { + "entropy": 5.297413730621338, + "epoch": 7.0312657589510845, + "grad_norm": 1.3359375, + "learning_rate": 0.00016017218609815195, + "loss": 4.5127, + "mean_token_accuracy": 0.23326511830091476, + "num_tokens": 15410379.0, + "step": 6975 + }, + { + "entropy": 5.246276712417602, + "epoch": 7.036308623298034, + "grad_norm": 1.1484375, + "learning_rate": 0.0001598312443774353, + "loss": 4.4284, + "mean_token_accuracy": 0.23199106454849244, + "num_tokens": 15422098.0, + "step": 6980 + }, + { + "entropy": 5.332926225662232, + "epoch": 7.041351487644983, + "grad_norm": 1.3828125, + "learning_rate": 0.00015949066060386784, + "loss": 4.5364, + "mean_token_accuracy": 0.2324401006102562, + "num_tokens": 15433161.0, + "step": 6985 + }, + { + "entropy": 5.303371477127075, + "epoch": 7.046394351991931, + "grad_norm": 1.3515625, + "learning_rate": 0.00015915043583599183, + "loss": 4.4988, + "mean_token_accuracy": 0.23691647499799728, + "num_tokens": 15443243.0, + "step": 6990 + }, + { + "entropy": 5.325288534164429, + "epoch": 7.05143721633888, + "grad_norm": 1.3828125, + "learning_rate": 0.0001588105711312336, + "loss": 4.6331, + "mean_token_accuracy": 0.21829306483268737, + "num_tokens": 15454997.0, + "step": 6995 + }, + { + "entropy": 5.292270135879517, + "epoch": 7.056480080685829, + "grad_norm": 1.4375, + "learning_rate": 0.00015847106754590055, + "loss": 4.5377, + "mean_token_accuracy": 0.23259725272655488, + "num_tokens": 15466596.0, + "step": 7000 + }, + { + "epoch": 7.056480080685829, + "eval_entropy": 5.190140663515824, + "eval_loss": 5.664591312408447, + "eval_mean_token_accuracy": 0.15645785036357002, + "eval_num_tokens": 15466596.0, + "eval_runtime": 2.0299, + "eval_samples_per_second": 1545.873, + "eval_steps_per_second": 193.604, + "step": 7000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3832415011123200.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-7000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-8000/added_tokens.json b/checkpoint-8000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-8000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8000/model.safetensors b/checkpoint-8000/model.safetensors new file mode 100644 index 0000000..a0bd08e --- /dev/null +++ b/checkpoint-8000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1bb422238450a110c78035f3babc20f1264c65ebb5a04656c75a92731bb9a54a +size 78179408 diff --git a/checkpoint-8000/rng_state.pth b/checkpoint-8000/rng_state.pth new file mode 100644 index 0000000..7d48176 --- /dev/null +++ b/checkpoint-8000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ab51294bfe56d73d71aaf4db3833b5bd77801c091a78ab99fe02c5d7b9665829 +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-8000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..a8b8257 --- /dev/null +++ b/checkpoint-8000/trainer_state.json @@ -0,0 +1,16122 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.064548663640949, + "eval_steps": 1000, + "global_step": 8000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + }, + { + "entropy": 5.507882356643677, + "epoch": 4.0373171961674235, + "grad_norm": 1.2890625, + "learning_rate": 0.0003851560183515953, + "loss": 4.9006, + "mean_token_accuracy": 0.19513047337532044, + "num_tokens": 8846883.0, + "step": 4005 + }, + { + "entropy": 5.636105680465699, + "epoch": 4.042360060514373, + "grad_norm": 1.140625, + "learning_rate": 0.000384809971843246, + "loss": 5.0285, + "mean_token_accuracy": 0.18483300358057023, + "num_tokens": 8857592.0, + "step": 4010 + }, + { + "entropy": 5.475295829772949, + "epoch": 4.047402924861321, + "grad_norm": 1.09375, + "learning_rate": 0.000384463584042971, + "loss": 4.8952, + "mean_token_accuracy": 0.19550566673278807, + "num_tokens": 8868527.0, + "step": 4015 + }, + { + "entropy": 5.454197931289673, + "epoch": 4.05244578920827, + "grad_norm": 1.1640625, + "learning_rate": 0.00038411685602735175, + "loss": 4.9249, + "mean_token_accuracy": 0.1891388326883316, + "num_tokens": 8879416.0, + "step": 4020 + }, + { + "entropy": 5.4192150115966795, + "epoch": 4.057488653555219, + "grad_norm": 1.140625, + "learning_rate": 0.00038376978887402687, + "loss": 4.9098, + "mean_token_accuracy": 0.19191017746925354, + "num_tokens": 8889452.0, + "step": 4025 + }, + { + "entropy": 5.370370864868164, + "epoch": 4.062531517902168, + "grad_norm": 1.0625, + "learning_rate": 0.0003834223836616891, + "loss": 4.7748, + "mean_token_accuracy": 0.19761549085378646, + "num_tokens": 8900447.0, + "step": 4030 + }, + { + "entropy": 5.534723281860352, + "epoch": 4.067574382249117, + "grad_norm": 1.1328125, + "learning_rate": 0.00038307464147008176, + "loss": 4.9709, + "mean_token_accuracy": 0.18329481780529022, + "num_tokens": 8911298.0, + "step": 4035 + }, + { + "entropy": 5.439350223541259, + "epoch": 4.072617246596066, + "grad_norm": 1.15625, + "learning_rate": 0.0003827265633799957, + "loss": 4.9157, + "mean_token_accuracy": 0.1890334367752075, + "num_tokens": 8922279.0, + "step": 4040 + }, + { + "entropy": 5.486150932312012, + "epoch": 4.0776601109430155, + "grad_norm": 1.1875, + "learning_rate": 0.0003823781504732657, + "loss": 4.9313, + "mean_token_accuracy": 0.18667482137680053, + "num_tokens": 8934780.0, + "step": 4045 + }, + { + "entropy": 5.514814758300782, + "epoch": 4.082702975289965, + "grad_norm": 1.1484375, + "learning_rate": 0.0003820294038327669, + "loss": 4.8954, + "mean_token_accuracy": 0.1852332517504692, + "num_tokens": 8946114.0, + "step": 4050 + }, + { + "entropy": 5.417545366287231, + "epoch": 4.087745839636914, + "grad_norm": 1.015625, + "learning_rate": 0.0003816803245424121, + "loss": 4.8903, + "mean_token_accuracy": 0.19420945197343825, + "num_tokens": 8957830.0, + "step": 4055 + }, + { + "entropy": 5.4529143333435055, + "epoch": 4.092788703983863, + "grad_norm": 1.15625, + "learning_rate": 0.0003813309136871478, + "loss": 4.9542, + "mean_token_accuracy": 0.19547271430492402, + "num_tokens": 8968312.0, + "step": 4060 + }, + { + "entropy": 5.488467979431152, + "epoch": 4.097831568330812, + "grad_norm": 1.125, + "learning_rate": 0.00038098117235295083, + "loss": 4.8996, + "mean_token_accuracy": 0.1928773194551468, + "num_tokens": 8979502.0, + "step": 4065 + }, + { + "entropy": 5.448248672485351, + "epoch": 4.102874432677761, + "grad_norm": 1.078125, + "learning_rate": 0.0003806311016268254, + "loss": 4.9214, + "mean_token_accuracy": 0.18985837399959565, + "num_tokens": 8991934.0, + "step": 4070 + }, + { + "entropy": 5.45822057723999, + "epoch": 4.10791729702471, + "grad_norm": 1.234375, + "learning_rate": 0.0003802807025967995, + "loss": 4.8492, + "mean_token_accuracy": 0.1978401616215706, + "num_tokens": 9001669.0, + "step": 4075 + }, + { + "entropy": 5.462690544128418, + "epoch": 4.112960161371659, + "grad_norm": 1.3671875, + "learning_rate": 0.0003799299763519213, + "loss": 4.9006, + "mean_token_accuracy": 0.19447372406721114, + "num_tokens": 9011904.0, + "step": 4080 + }, + { + "entropy": 5.428786897659302, + "epoch": 4.118003025718608, + "grad_norm": 1.0859375, + "learning_rate": 0.0003795789239822561, + "loss": 4.91, + "mean_token_accuracy": 0.18757592886686325, + "num_tokens": 9023024.0, + "step": 4085 + }, + { + "entropy": 5.474789571762085, + "epoch": 4.1230458900655576, + "grad_norm": 1.109375, + "learning_rate": 0.0003792275465788826, + "loss": 5.0288, + "mean_token_accuracy": 0.18281726986169816, + "num_tokens": 9035721.0, + "step": 4090 + }, + { + "entropy": 5.549254083633423, + "epoch": 4.128088754412507, + "grad_norm": 1.171875, + "learning_rate": 0.00037887584523389013, + "loss": 4.9429, + "mean_token_accuracy": 0.1963011309504509, + "num_tokens": 9046541.0, + "step": 4095 + }, + { + "entropy": 5.51261191368103, + "epoch": 4.133131618759456, + "grad_norm": 1.28125, + "learning_rate": 0.00037852382104037454, + "loss": 4.9209, + "mean_token_accuracy": 0.1832383990287781, + "num_tokens": 9057696.0, + "step": 4100 + }, + { + "entropy": 5.49119758605957, + "epoch": 4.138174483106404, + "grad_norm": 1.34375, + "learning_rate": 0.00037817147509243497, + "loss": 5.0707, + "mean_token_accuracy": 0.18049182891845703, + "num_tokens": 9070737.0, + "step": 4105 + }, + { + "entropy": 5.50582594871521, + "epoch": 4.143217347453353, + "grad_norm": 1.25, + "learning_rate": 0.0003778188084851709, + "loss": 4.935, + "mean_token_accuracy": 0.19351411312818528, + "num_tokens": 9081582.0, + "step": 4110 + }, + { + "entropy": 5.539880180358887, + "epoch": 4.148260211800302, + "grad_norm": 1.1953125, + "learning_rate": 0.00037746582231467816, + "loss": 5.0069, + "mean_token_accuracy": 0.18012915998697282, + "num_tokens": 9092571.0, + "step": 4115 + }, + { + "entropy": 5.47385425567627, + "epoch": 4.153303076147251, + "grad_norm": 1.234375, + "learning_rate": 0.0003771125176780461, + "loss": 4.9757, + "mean_token_accuracy": 0.18279217034578324, + "num_tokens": 9103172.0, + "step": 4120 + }, + { + "entropy": 5.495398378372192, + "epoch": 4.1583459404942005, + "grad_norm": 1.078125, + "learning_rate": 0.00037675889567335345, + "loss": 4.9165, + "mean_token_accuracy": 0.18877640664577483, + "num_tokens": 9114407.0, + "step": 4125 + }, + { + "entropy": 5.4332798480987545, + "epoch": 4.16338880484115, + "grad_norm": 1.015625, + "learning_rate": 0.00037640495739966573, + "loss": 4.871, + "mean_token_accuracy": 0.19287270307540894, + "num_tokens": 9126175.0, + "step": 4130 + }, + { + "entropy": 5.474513959884644, + "epoch": 4.168431669188099, + "grad_norm": 1.09375, + "learning_rate": 0.00037605070395703124, + "loss": 5.0226, + "mean_token_accuracy": 0.18439341336488724, + "num_tokens": 9139046.0, + "step": 4135 + }, + { + "entropy": 5.486795473098755, + "epoch": 4.173474533535048, + "grad_norm": 1.328125, + "learning_rate": 0.00037569613644647783, + "loss": 4.9218, + "mean_token_accuracy": 0.1871136710047722, + "num_tokens": 9150413.0, + "step": 4140 + }, + { + "entropy": 5.5463550090789795, + "epoch": 4.178517397881997, + "grad_norm": 1.109375, + "learning_rate": 0.0003753412559700094, + "loss": 4.9098, + "mean_token_accuracy": 0.1975122556090355, + "num_tokens": 9161831.0, + "step": 4145 + }, + { + "entropy": 5.437201404571534, + "epoch": 4.183560262228946, + "grad_norm": 1.234375, + "learning_rate": 0.00037498606363060285, + "loss": 4.9258, + "mean_token_accuracy": 0.1963041603565216, + "num_tokens": 9172381.0, + "step": 4150 + }, + { + "entropy": 5.364158773422242, + "epoch": 4.188603126575895, + "grad_norm": 1.1953125, + "learning_rate": 0.0003746305605322041, + "loss": 4.8546, + "mean_token_accuracy": 0.19601071029901504, + "num_tokens": 9182212.0, + "step": 4155 + }, + { + "entropy": 5.442264175415039, + "epoch": 4.193645990922844, + "grad_norm": 1.2734375, + "learning_rate": 0.00037427474777972477, + "loss": 4.9478, + "mean_token_accuracy": 0.19168211966753007, + "num_tokens": 9192207.0, + "step": 4160 + }, + { + "entropy": 5.51265287399292, + "epoch": 4.198688855269793, + "grad_norm": 1.140625, + "learning_rate": 0.00037391862647903943, + "loss": 4.9895, + "mean_token_accuracy": 0.18737609982490538, + "num_tokens": 9203693.0, + "step": 4165 + }, + { + "entropy": 5.489502048492431, + "epoch": 4.2037317196167425, + "grad_norm": 1.0859375, + "learning_rate": 0.00037356219773698106, + "loss": 4.93, + "mean_token_accuracy": 0.19232701063156127, + "num_tokens": 9215201.0, + "step": 4170 + }, + { + "entropy": 5.35007643699646, + "epoch": 4.208774583963692, + "grad_norm": 1.28125, + "learning_rate": 0.00037320546266133854, + "loss": 4.8919, + "mean_token_accuracy": 0.18937314301729202, + "num_tokens": 9227705.0, + "step": 4175 + }, + { + "entropy": 5.513562440872192, + "epoch": 4.213817448310641, + "grad_norm": 1.09375, + "learning_rate": 0.0003728484223608526, + "loss": 5.0298, + "mean_token_accuracy": 0.19036928117275237, + "num_tokens": 9238372.0, + "step": 4180 + }, + { + "entropy": 5.479854774475098, + "epoch": 4.21886031265759, + "grad_norm": 1.0859375, + "learning_rate": 0.00037249107794521286, + "loss": 4.9577, + "mean_token_accuracy": 0.18163685202598573, + "num_tokens": 9250303.0, + "step": 4185 + }, + { + "entropy": 5.421753692626953, + "epoch": 4.223903177004539, + "grad_norm": 1.234375, + "learning_rate": 0.00037213343052505394, + "loss": 5.0321, + "mean_token_accuracy": 0.18563628941774368, + "num_tokens": 9261750.0, + "step": 4190 + }, + { + "entropy": 5.509016704559326, + "epoch": 4.228946041351487, + "grad_norm": 1.0234375, + "learning_rate": 0.0003717754812119523, + "loss": 4.9431, + "mean_token_accuracy": 0.19167808294296265, + "num_tokens": 9273808.0, + "step": 4195 + }, + { + "entropy": 5.454015445709229, + "epoch": 4.233988905698436, + "grad_norm": 1.1171875, + "learning_rate": 0.0003714172311184226, + "loss": 4.9408, + "mean_token_accuracy": 0.18980903923511505, + "num_tokens": 9285099.0, + "step": 4200 + }, + { + "entropy": 5.498741102218628, + "epoch": 4.2390317700453854, + "grad_norm": 1.171875, + "learning_rate": 0.0003710586813579144, + "loss": 5.0256, + "mean_token_accuracy": 0.18340314030647278, + "num_tokens": 9295513.0, + "step": 4205 + }, + { + "entropy": 5.5043713569641115, + "epoch": 4.244074634392335, + "grad_norm": 1.2890625, + "learning_rate": 0.00037069983304480875, + "loss": 5.0181, + "mean_token_accuracy": 0.17525929361581802, + "num_tokens": 9307243.0, + "step": 4210 + }, + { + "entropy": 5.41992335319519, + "epoch": 4.249117498739284, + "grad_norm": 1.21875, + "learning_rate": 0.0003703406872944144, + "loss": 4.9652, + "mean_token_accuracy": 0.1928505852818489, + "num_tokens": 9319289.0, + "step": 4215 + }, + { + "entropy": 5.529471921920776, + "epoch": 4.254160363086233, + "grad_norm": 1.1171875, + "learning_rate": 0.0003699812452229645, + "loss": 5.0786, + "mean_token_accuracy": 0.1831396237015724, + "num_tokens": 9332273.0, + "step": 4220 + }, + { + "entropy": 5.502027702331543, + "epoch": 4.259203227433182, + "grad_norm": 1.3046875, + "learning_rate": 0.00036962150794761354, + "loss": 4.9647, + "mean_token_accuracy": 0.18839758336544038, + "num_tokens": 9343703.0, + "step": 4225 + }, + { + "entropy": 5.409524011611938, + "epoch": 4.264246091780131, + "grad_norm": 1.078125, + "learning_rate": 0.0003692614765864331, + "loss": 4.9535, + "mean_token_accuracy": 0.18380556404590606, + "num_tokens": 9355371.0, + "step": 4230 + }, + { + "entropy": 5.415918779373169, + "epoch": 4.26928895612708, + "grad_norm": 1.0703125, + "learning_rate": 0.00036890115225840904, + "loss": 4.9783, + "mean_token_accuracy": 0.18282967656850815, + "num_tokens": 9367337.0, + "step": 4235 + }, + { + "entropy": 5.495303773880005, + "epoch": 4.274331820474029, + "grad_norm": 1.203125, + "learning_rate": 0.0003685405360834376, + "loss": 4.9964, + "mean_token_accuracy": 0.1882554829120636, + "num_tokens": 9378613.0, + "step": 4240 + }, + { + "entropy": 5.522206258773804, + "epoch": 4.279374684820978, + "grad_norm": 1.09375, + "learning_rate": 0.00036817962918232234, + "loss": 4.9605, + "mean_token_accuracy": 0.18544823825359344, + "num_tokens": 9390576.0, + "step": 4245 + }, + { + "entropy": 5.513616561889648, + "epoch": 4.2844175491679275, + "grad_norm": 1.2734375, + "learning_rate": 0.00036781843267677, + "loss": 4.9929, + "mean_token_accuracy": 0.1839417487382889, + "num_tokens": 9401828.0, + "step": 4250 + }, + { + "entropy": 5.4544768810272215, + "epoch": 4.289460413514877, + "grad_norm": 1.1171875, + "learning_rate": 0.0003674569476893878, + "loss": 4.9674, + "mean_token_accuracy": 0.18869195580482484, + "num_tokens": 9414065.0, + "step": 4255 + }, + { + "entropy": 5.501214170455933, + "epoch": 4.294503277861826, + "grad_norm": 1.28125, + "learning_rate": 0.0003670951753436794, + "loss": 4.9991, + "mean_token_accuracy": 0.193516606092453, + "num_tokens": 9425025.0, + "step": 4260 + }, + { + "entropy": 5.451015043258667, + "epoch": 4.299546142208775, + "grad_norm": 1.2265625, + "learning_rate": 0.00036673311676404163, + "loss": 4.9283, + "mean_token_accuracy": 0.1888926148414612, + "num_tokens": 9435562.0, + "step": 4265 + }, + { + "entropy": 5.448048305511475, + "epoch": 4.304589006555724, + "grad_norm": 1.21875, + "learning_rate": 0.0003663707730757608, + "loss": 4.9323, + "mean_token_accuracy": 0.1817737638950348, + "num_tokens": 9445963.0, + "step": 4270 + }, + { + "entropy": 5.42729001045227, + "epoch": 4.309631870902673, + "grad_norm": 1.203125, + "learning_rate": 0.00036600814540500956, + "loss": 4.9144, + "mean_token_accuracy": 0.18806320428848267, + "num_tokens": 9456810.0, + "step": 4275 + }, + { + "entropy": 5.404821681976318, + "epoch": 4.314674735249622, + "grad_norm": 1.359375, + "learning_rate": 0.000365645234878843, + "loss": 4.944, + "mean_token_accuracy": 0.18662286251783372, + "num_tokens": 9466527.0, + "step": 4280 + }, + { + "entropy": 5.460329341888428, + "epoch": 4.31971759959657, + "grad_norm": 1.1796875, + "learning_rate": 0.00036528204262519545, + "loss": 4.9273, + "mean_token_accuracy": 0.19052704572677612, + "num_tokens": 9477770.0, + "step": 4285 + }, + { + "entropy": 5.477109098434449, + "epoch": 4.3247604639435195, + "grad_norm": 1.2109375, + "learning_rate": 0.0003649185697728768, + "loss": 4.9679, + "mean_token_accuracy": 0.1862930953502655, + "num_tokens": 9487723.0, + "step": 4290 + }, + { + "entropy": 5.513242292404175, + "epoch": 4.329803328290469, + "grad_norm": 1.4375, + "learning_rate": 0.00036455481745156906, + "loss": 4.9169, + "mean_token_accuracy": 0.19376833438873292, + "num_tokens": 9497286.0, + "step": 4295 + }, + { + "entropy": 5.3801576614379885, + "epoch": 4.334846192637418, + "grad_norm": 1.078125, + "learning_rate": 0.0003641907867918228, + "loss": 4.8533, + "mean_token_accuracy": 0.1950397878885269, + "num_tokens": 9508535.0, + "step": 4300 + }, + { + "entropy": 5.381755065917969, + "epoch": 4.339889056984367, + "grad_norm": 1.1328125, + "learning_rate": 0.0003638264789250538, + "loss": 4.9355, + "mean_token_accuracy": 0.18968858420848847, + "num_tokens": 9518165.0, + "step": 4305 + }, + { + "entropy": 5.4629909038543705, + "epoch": 4.344931921331316, + "grad_norm": 1.203125, + "learning_rate": 0.00036346189498353914, + "loss": 4.9332, + "mean_token_accuracy": 0.18796923905611038, + "num_tokens": 9528197.0, + "step": 4310 + }, + { + "entropy": 5.469100570678711, + "epoch": 4.349974785678265, + "grad_norm": 1.15625, + "learning_rate": 0.0003630970361004143, + "loss": 4.9514, + "mean_token_accuracy": 0.1987667128443718, + "num_tokens": 9539024.0, + "step": 4315 + }, + { + "entropy": 5.498983573913574, + "epoch": 4.355017650025214, + "grad_norm": 1.2109375, + "learning_rate": 0.0003627319034096691, + "loss": 4.9047, + "mean_token_accuracy": 0.1949477717280388, + "num_tokens": 9548701.0, + "step": 4320 + }, + { + "entropy": 5.3508720874786375, + "epoch": 4.360060514372163, + "grad_norm": 1.375, + "learning_rate": 0.0003623664980461443, + "loss": 4.8769, + "mean_token_accuracy": 0.19532206803560256, + "num_tokens": 9558576.0, + "step": 4325 + }, + { + "entropy": 5.39421124458313, + "epoch": 4.3651033787191125, + "grad_norm": 1.3828125, + "learning_rate": 0.00036200082114552806, + "loss": 4.9565, + "mean_token_accuracy": 0.18533562421798705, + "num_tokens": 9567464.0, + "step": 4330 + }, + { + "entropy": 5.425723648071289, + "epoch": 4.370146243066062, + "grad_norm": 1.3125, + "learning_rate": 0.00036163487384435294, + "loss": 4.8855, + "mean_token_accuracy": 0.19447901099920273, + "num_tokens": 9578011.0, + "step": 4335 + }, + { + "entropy": 5.549548530578614, + "epoch": 4.375189107413011, + "grad_norm": 1.234375, + "learning_rate": 0.0003612686572799914, + "loss": 5.0191, + "mean_token_accuracy": 0.1840487852692604, + "num_tokens": 9589279.0, + "step": 4340 + }, + { + "entropy": 5.472797155380249, + "epoch": 4.38023197175996, + "grad_norm": 1.203125, + "learning_rate": 0.0003609021725906529, + "loss": 4.9258, + "mean_token_accuracy": 0.18987287431955338, + "num_tokens": 9600170.0, + "step": 4345 + }, + { + "entropy": 5.4490509033203125, + "epoch": 4.385274836106909, + "grad_norm": 1.1484375, + "learning_rate": 0.00036053542091538045, + "loss": 4.925, + "mean_token_accuracy": 0.19032368808984756, + "num_tokens": 9611006.0, + "step": 4350 + }, + { + "entropy": 5.473626661300659, + "epoch": 4.390317700453858, + "grad_norm": 1.328125, + "learning_rate": 0.00036016840339404664, + "loss": 5.0008, + "mean_token_accuracy": 0.18587622791528702, + "num_tokens": 9621645.0, + "step": 4355 + }, + { + "entropy": 5.423802852630615, + "epoch": 4.395360564800807, + "grad_norm": 1.078125, + "learning_rate": 0.0003598011211673505, + "loss": 5.016, + "mean_token_accuracy": 0.18200191259384155, + "num_tokens": 9633221.0, + "step": 4360 + }, + { + "entropy": 5.462389421463013, + "epoch": 4.400403429147756, + "grad_norm": 1.28125, + "learning_rate": 0.0003594335753768135, + "loss": 5.0055, + "mean_token_accuracy": 0.1831961914896965, + "num_tokens": 9644616.0, + "step": 4365 + }, + { + "entropy": 5.469020700454712, + "epoch": 4.405446293494705, + "grad_norm": 1.1953125, + "learning_rate": 0.0003590657671647766, + "loss": 4.939, + "mean_token_accuracy": 0.19091181010007857, + "num_tokens": 9656072.0, + "step": 4370 + }, + { + "entropy": 5.4417582035064695, + "epoch": 4.4104891578416545, + "grad_norm": 1.2734375, + "learning_rate": 0.00035869769767439606, + "loss": 4.9764, + "mean_token_accuracy": 0.18057194650173186, + "num_tokens": 9667252.0, + "step": 4375 + }, + { + "entropy": 5.527696800231934, + "epoch": 4.415532022188603, + "grad_norm": 1.1875, + "learning_rate": 0.0003583293680496404, + "loss": 5.0256, + "mean_token_accuracy": 0.18298113197088242, + "num_tokens": 9677810.0, + "step": 4380 + }, + { + "entropy": 5.482815313339233, + "epoch": 4.420574886535552, + "grad_norm": 1.1328125, + "learning_rate": 0.0003579607794352867, + "loss": 4.9634, + "mean_token_accuracy": 0.19282228946685792, + "num_tokens": 9688950.0, + "step": 4385 + }, + { + "entropy": 5.51417818069458, + "epoch": 4.425617750882501, + "grad_norm": 1.265625, + "learning_rate": 0.00035759193297691674, + "loss": 5.0062, + "mean_token_accuracy": 0.1773902341723442, + "num_tokens": 9699961.0, + "step": 4390 + }, + { + "entropy": 5.441384744644165, + "epoch": 4.43066061522945, + "grad_norm": 1.1328125, + "learning_rate": 0.00035722282982091373, + "loss": 4.968, + "mean_token_accuracy": 0.18881333619356155, + "num_tokens": 9711548.0, + "step": 4395 + }, + { + "entropy": 5.4814496517181395, + "epoch": 4.435703479576399, + "grad_norm": 1.390625, + "learning_rate": 0.0003568534711144591, + "loss": 5.0064, + "mean_token_accuracy": 0.19238194972276687, + "num_tokens": 9722237.0, + "step": 4400 + }, + { + "entropy": 5.461666250228882, + "epoch": 4.440746343923348, + "grad_norm": 1.2734375, + "learning_rate": 0.000356483858005528, + "loss": 5.02, + "mean_token_accuracy": 0.18607597798109055, + "num_tokens": 9733654.0, + "step": 4405 + }, + { + "entropy": 5.396451997756958, + "epoch": 4.445789208270297, + "grad_norm": 1.0859375, + "learning_rate": 0.00035611399164288654, + "loss": 4.8687, + "mean_token_accuracy": 0.19753507524728775, + "num_tokens": 9745012.0, + "step": 4410 + }, + { + "entropy": 5.431181240081787, + "epoch": 4.450832072617247, + "grad_norm": 1.1484375, + "learning_rate": 0.0003557438731760879, + "loss": 4.9509, + "mean_token_accuracy": 0.18538981080055236, + "num_tokens": 9755851.0, + "step": 4415 + }, + { + "entropy": 5.40848217010498, + "epoch": 4.455874936964196, + "grad_norm": 1.171875, + "learning_rate": 0.0003553735037554689, + "loss": 4.8793, + "mean_token_accuracy": 0.19078117311000825, + "num_tokens": 9765652.0, + "step": 4420 + }, + { + "entropy": 5.463437080383301, + "epoch": 4.460917801311145, + "grad_norm": 1.15625, + "learning_rate": 0.0003550028845321461, + "loss": 4.9528, + "mean_token_accuracy": 0.18317756056785583, + "num_tokens": 9776618.0, + "step": 4425 + }, + { + "entropy": 5.437930488586426, + "epoch": 4.465960665658094, + "grad_norm": 1.3515625, + "learning_rate": 0.0003546320166580127, + "loss": 4.912, + "mean_token_accuracy": 0.18995112627744676, + "num_tokens": 9786523.0, + "step": 4430 + }, + { + "entropy": 5.503436660766601, + "epoch": 4.471003530005043, + "grad_norm": 1.1640625, + "learning_rate": 0.00035426090128573464, + "loss": 4.9902, + "mean_token_accuracy": 0.18866927772760392, + "num_tokens": 9797013.0, + "step": 4435 + }, + { + "entropy": 5.505742359161377, + "epoch": 4.476046394351992, + "grad_norm": 1.109375, + "learning_rate": 0.00035388953956874686, + "loss": 4.978, + "mean_token_accuracy": 0.1855326250195503, + "num_tokens": 9807431.0, + "step": 4440 + }, + { + "entropy": 5.459383773803711, + "epoch": 4.481089258698941, + "grad_norm": 1.328125, + "learning_rate": 0.0003535179326612504, + "loss": 5.0067, + "mean_token_accuracy": 0.18672738820314408, + "num_tokens": 9817560.0, + "step": 4445 + }, + { + "entropy": 5.431673955917359, + "epoch": 4.48613212304589, + "grad_norm": 1.0703125, + "learning_rate": 0.00035314608171820787, + "loss": 4.9291, + "mean_token_accuracy": 0.18797255009412767, + "num_tokens": 9828233.0, + "step": 4450 + }, + { + "entropy": 5.450408601760865, + "epoch": 4.4911749873928395, + "grad_norm": 1.3046875, + "learning_rate": 0.00035277398789534075, + "loss": 4.9298, + "mean_token_accuracy": 0.19417595118284225, + "num_tokens": 9838699.0, + "step": 4455 + }, + { + "entropy": 5.42654972076416, + "epoch": 4.496217851739789, + "grad_norm": 1.203125, + "learning_rate": 0.0003524016523491252, + "loss": 4.9502, + "mean_token_accuracy": 0.1807286635041237, + "num_tokens": 9849635.0, + "step": 4460 + }, + { + "entropy": 5.424818992614746, + "epoch": 4.501260716086737, + "grad_norm": 1.1015625, + "learning_rate": 0.00035202907623678865, + "loss": 4.9072, + "mean_token_accuracy": 0.18710703998804093, + "num_tokens": 9861822.0, + "step": 4465 + }, + { + "entropy": 5.43951678276062, + "epoch": 4.506303580433686, + "grad_norm": 1.171875, + "learning_rate": 0.0003516562607163062, + "loss": 4.9867, + "mean_token_accuracy": 0.18685145676136017, + "num_tokens": 9872341.0, + "step": 4470 + }, + { + "entropy": 5.522892475128174, + "epoch": 4.511346444780635, + "grad_norm": 1.2265625, + "learning_rate": 0.0003512832069463971, + "loss": 5.009, + "mean_token_accuracy": 0.18200730085372924, + "num_tokens": 9883078.0, + "step": 4475 + }, + { + "entropy": 5.457088470458984, + "epoch": 4.516389309127584, + "grad_norm": 1.109375, + "learning_rate": 0.00035090991608652125, + "loss": 5.0672, + "mean_token_accuracy": 0.18591289818286896, + "num_tokens": 9894688.0, + "step": 4480 + }, + { + "entropy": 5.392157983779907, + "epoch": 4.521432173474533, + "grad_norm": 1.2890625, + "learning_rate": 0.00035053638929687504, + "loss": 4.8778, + "mean_token_accuracy": 0.18869801312685014, + "num_tokens": 9904409.0, + "step": 4485 + }, + { + "entropy": 5.485831022262573, + "epoch": 4.526475037821482, + "grad_norm": 1.140625, + "learning_rate": 0.0003501626277383884, + "loss": 5.0515, + "mean_token_accuracy": 0.1752968832850456, + "num_tokens": 9915204.0, + "step": 4490 + }, + { + "entropy": 5.5224214553833, + "epoch": 4.5315179021684315, + "grad_norm": 1.2734375, + "learning_rate": 0.000349788632572721, + "loss": 4.9806, + "mean_token_accuracy": 0.18406761437654495, + "num_tokens": 9927354.0, + "step": 4495 + }, + { + "entropy": 5.412999963760376, + "epoch": 4.536560766515381, + "grad_norm": 1.296875, + "learning_rate": 0.0003494144049622582, + "loss": 4.902, + "mean_token_accuracy": 0.1886482670903206, + "num_tokens": 9939009.0, + "step": 4500 + }, + { + "entropy": 5.391222190856934, + "epoch": 4.54160363086233, + "grad_norm": 1.2421875, + "learning_rate": 0.0003490399460701083, + "loss": 5.0147, + "mean_token_accuracy": 0.18851865231990814, + "num_tokens": 9950332.0, + "step": 4505 + }, + { + "entropy": 5.448312902450562, + "epoch": 4.546646495209279, + "grad_norm": 1.1484375, + "learning_rate": 0.000348665257060098, + "loss": 4.922, + "mean_token_accuracy": 0.1947105810046196, + "num_tokens": 9961206.0, + "step": 4510 + }, + { + "entropy": 5.484153413772583, + "epoch": 4.551689359556228, + "grad_norm": 1.2109375, + "learning_rate": 0.0003482903390967695, + "loss": 4.917, + "mean_token_accuracy": 0.19644837379455565, + "num_tokens": 9972272.0, + "step": 4515 + }, + { + "entropy": 5.377922439575196, + "epoch": 4.556732223903177, + "grad_norm": 1.375, + "learning_rate": 0.00034791519334537635, + "loss": 4.9262, + "mean_token_accuracy": 0.19269737154245375, + "num_tokens": 9982189.0, + "step": 4520 + }, + { + "entropy": 5.377587604522705, + "epoch": 4.561775088250126, + "grad_norm": 1.1953125, + "learning_rate": 0.0003475398209718804, + "loss": 4.8724, + "mean_token_accuracy": 0.1955879732966423, + "num_tokens": 9993122.0, + "step": 4525 + }, + { + "entropy": 5.44607400894165, + "epoch": 4.566817952597075, + "grad_norm": 1.140625, + "learning_rate": 0.0003471642231429475, + "loss": 4.8815, + "mean_token_accuracy": 0.19085957556962968, + "num_tokens": 10004043.0, + "step": 4530 + }, + { + "entropy": 5.408733749389649, + "epoch": 4.5718608169440245, + "grad_norm": 1.21875, + "learning_rate": 0.0003467884010259443, + "loss": 4.8907, + "mean_token_accuracy": 0.19512842446565629, + "num_tokens": 10014042.0, + "step": 4535 + }, + { + "entropy": 5.363145399093628, + "epoch": 4.576903681290974, + "grad_norm": 1.1171875, + "learning_rate": 0.00034641235578893476, + "loss": 4.8653, + "mean_token_accuracy": 0.1962948814034462, + "num_tokens": 10025742.0, + "step": 4540 + }, + { + "entropy": 5.402016878128052, + "epoch": 4.581946545637923, + "grad_norm": 1.2421875, + "learning_rate": 0.0003460360886006761, + "loss": 4.9674, + "mean_token_accuracy": 0.18587110042572022, + "num_tokens": 10036727.0, + "step": 4545 + }, + { + "entropy": 5.4374651432037355, + "epoch": 4.586989409984872, + "grad_norm": 1.1953125, + "learning_rate": 0.00034565960063061534, + "loss": 4.9226, + "mean_token_accuracy": 0.18302160054445266, + "num_tokens": 10047246.0, + "step": 4550 + }, + { + "entropy": 5.398792886734009, + "epoch": 4.592032274331821, + "grad_norm": 1.1015625, + "learning_rate": 0.0003452828930488859, + "loss": 4.9253, + "mean_token_accuracy": 0.1938019722700119, + "num_tokens": 10059750.0, + "step": 4555 + }, + { + "entropy": 5.455434322357178, + "epoch": 4.597075138678769, + "grad_norm": 1.0625, + "learning_rate": 0.00034490596702630355, + "loss": 4.9739, + "mean_token_accuracy": 0.1875145599246025, + "num_tokens": 10071431.0, + "step": 4560 + }, + { + "entropy": 5.463915681838989, + "epoch": 4.602118003025718, + "grad_norm": 1.2578125, + "learning_rate": 0.0003445288237343632, + "loss": 4.9644, + "mean_token_accuracy": 0.18932064026594161, + "num_tokens": 10081567.0, + "step": 4565 + }, + { + "entropy": 5.497029161453247, + "epoch": 4.607160867372667, + "grad_norm": 1.1484375, + "learning_rate": 0.00034415146434523463, + "loss": 5.0002, + "mean_token_accuracy": 0.18606244027614594, + "num_tokens": 10092506.0, + "step": 4570 + }, + { + "entropy": 5.480929279327393, + "epoch": 4.6122037317196165, + "grad_norm": 1.296875, + "learning_rate": 0.00034377389003175984, + "loss": 4.9801, + "mean_token_accuracy": 0.1865699604153633, + "num_tokens": 10103896.0, + "step": 4575 + }, + { + "entropy": 5.372171783447266, + "epoch": 4.617246596066566, + "grad_norm": 1.421875, + "learning_rate": 0.0003433961019674483, + "loss": 4.9572, + "mean_token_accuracy": 0.1918066293001175, + "num_tokens": 10113646.0, + "step": 4580 + }, + { + "entropy": 5.419704341888428, + "epoch": 4.622289460413515, + "grad_norm": 1.109375, + "learning_rate": 0.0003430181013264741, + "loss": 5.0208, + "mean_token_accuracy": 0.1797514334321022, + "num_tokens": 10125097.0, + "step": 4585 + }, + { + "entropy": 5.5000776767730715, + "epoch": 4.627332324760464, + "grad_norm": 1.296875, + "learning_rate": 0.0003426398892836719, + "loss": 4.9718, + "mean_token_accuracy": 0.18807972222566605, + "num_tokens": 10137396.0, + "step": 4590 + }, + { + "entropy": 5.483876419067383, + "epoch": 4.632375189107413, + "grad_norm": 1.171875, + "learning_rate": 0.0003422614670145336, + "loss": 5.0777, + "mean_token_accuracy": 0.18274005502462387, + "num_tokens": 10147483.0, + "step": 4595 + }, + { + "entropy": 5.432821559906006, + "epoch": 4.637418053454362, + "grad_norm": 1.1796875, + "learning_rate": 0.0003418828356952041, + "loss": 4.951, + "mean_token_accuracy": 0.18625150471925736, + "num_tokens": 10159693.0, + "step": 4600 + }, + { + "entropy": 5.431114387512207, + "epoch": 4.642460917801311, + "grad_norm": 1.2109375, + "learning_rate": 0.00034150399650247846, + "loss": 4.84, + "mean_token_accuracy": 0.19102736562490463, + "num_tokens": 10170371.0, + "step": 4605 + }, + { + "entropy": 5.411733675003052, + "epoch": 4.64750378214826, + "grad_norm": 1.2578125, + "learning_rate": 0.00034112495061379764, + "loss": 4.9494, + "mean_token_accuracy": 0.19134079068899154, + "num_tokens": 10181487.0, + "step": 4610 + }, + { + "entropy": 5.41342191696167, + "epoch": 4.652546646495209, + "grad_norm": 1.25, + "learning_rate": 0.00034074569920724483, + "loss": 4.9766, + "mean_token_accuracy": 0.18301253765821457, + "num_tokens": 10193386.0, + "step": 4615 + }, + { + "entropy": 5.498093175888061, + "epoch": 4.6575895108421586, + "grad_norm": 1.1328125, + "learning_rate": 0.0003403662434615423, + "loss": 5.0328, + "mean_token_accuracy": 0.18311253786087037, + "num_tokens": 10205531.0, + "step": 4620 + }, + { + "entropy": 5.456884098052979, + "epoch": 4.662632375189108, + "grad_norm": 1.0703125, + "learning_rate": 0.00033998658455604736, + "loss": 4.9797, + "mean_token_accuracy": 0.18898638486862182, + "num_tokens": 10216586.0, + "step": 4625 + }, + { + "entropy": 5.431148862838745, + "epoch": 4.667675239536057, + "grad_norm": 1.171875, + "learning_rate": 0.00033960672367074827, + "loss": 4.8987, + "mean_token_accuracy": 0.19037448465824128, + "num_tokens": 10227330.0, + "step": 4630 + }, + { + "entropy": 5.440126276016235, + "epoch": 4.672718103883006, + "grad_norm": 1.140625, + "learning_rate": 0.0003392266619862619, + "loss": 5.0402, + "mean_token_accuracy": 0.17827739417552949, + "num_tokens": 10238295.0, + "step": 4635 + }, + { + "entropy": 5.449625444412232, + "epoch": 4.677760968229954, + "grad_norm": 1.2109375, + "learning_rate": 0.0003388464006838284, + "loss": 4.9925, + "mean_token_accuracy": 0.19437420070171357, + "num_tokens": 10249011.0, + "step": 4640 + }, + { + "entropy": 5.503025913238526, + "epoch": 4.682803832576903, + "grad_norm": 1.2265625, + "learning_rate": 0.00033846594094530874, + "loss": 4.9525, + "mean_token_accuracy": 0.18661330491304398, + "num_tokens": 10260986.0, + "step": 4645 + }, + { + "entropy": 5.403000020980835, + "epoch": 4.687846696923852, + "grad_norm": 1.109375, + "learning_rate": 0.0003380852839531806, + "loss": 4.9642, + "mean_token_accuracy": 0.18330392688512803, + "num_tokens": 10271557.0, + "step": 4650 + }, + { + "entropy": 5.465458154678345, + "epoch": 4.6928895612708015, + "grad_norm": 1.265625, + "learning_rate": 0.00033770443089053476, + "loss": 4.9798, + "mean_token_accuracy": 0.18609561026096344, + "num_tokens": 10281458.0, + "step": 4655 + }, + { + "entropy": 5.459237432479858, + "epoch": 4.697932425617751, + "grad_norm": 1.078125, + "learning_rate": 0.00033732338294107116, + "loss": 4.9671, + "mean_token_accuracy": 0.1871896654367447, + "num_tokens": 10293336.0, + "step": 4660 + }, + { + "entropy": 5.432980871200561, + "epoch": 4.7029752899647, + "grad_norm": 1.2734375, + "learning_rate": 0.00033694214128909567, + "loss": 4.9673, + "mean_token_accuracy": 0.18993277698755265, + "num_tokens": 10303633.0, + "step": 4665 + }, + { + "entropy": 5.44464521408081, + "epoch": 4.708018154311649, + "grad_norm": 1.2578125, + "learning_rate": 0.00033656070711951633, + "loss": 4.9845, + "mean_token_accuracy": 0.18049918115139008, + "num_tokens": 10314776.0, + "step": 4670 + }, + { + "entropy": 5.4221460819244385, + "epoch": 4.713061018658598, + "grad_norm": 1.09375, + "learning_rate": 0.0003361790816178391, + "loss": 4.9222, + "mean_token_accuracy": 0.19435497671365737, + "num_tokens": 10325792.0, + "step": 4675 + }, + { + "entropy": 5.3949438571929935, + "epoch": 4.718103883005547, + "grad_norm": 1.21875, + "learning_rate": 0.0003357972659701649, + "loss": 5.0, + "mean_token_accuracy": 0.18047935217618943, + "num_tokens": 10339024.0, + "step": 4680 + }, + { + "entropy": 5.466359615325928, + "epoch": 4.723146747352496, + "grad_norm": 1.2421875, + "learning_rate": 0.00033541526136318564, + "loss": 4.9542, + "mean_token_accuracy": 0.18820637315511704, + "num_tokens": 10349198.0, + "step": 4685 + }, + { + "entropy": 5.476608657836914, + "epoch": 4.728189611699445, + "grad_norm": 1.1328125, + "learning_rate": 0.0003350330689841804, + "loss": 5.047, + "mean_token_accuracy": 0.17754877507686614, + "num_tokens": 10360925.0, + "step": 4690 + }, + { + "entropy": 5.471492719650269, + "epoch": 4.733232476046394, + "grad_norm": 1.25, + "learning_rate": 0.0003346506900210118, + "loss": 4.9786, + "mean_token_accuracy": 0.1891571193933487, + "num_tokens": 10372074.0, + "step": 4695 + }, + { + "entropy": 5.40898289680481, + "epoch": 4.7382753403933435, + "grad_norm": 1.2578125, + "learning_rate": 0.0003342681256621227, + "loss": 4.8793, + "mean_token_accuracy": 0.19103499352931977, + "num_tokens": 10384050.0, + "step": 4700 + }, + { + "entropy": 5.43700852394104, + "epoch": 4.743318204740293, + "grad_norm": 1.203125, + "learning_rate": 0.0003338853770965319, + "loss": 4.9256, + "mean_token_accuracy": 0.18500882834196092, + "num_tokens": 10394466.0, + "step": 4705 + }, + { + "entropy": 5.408495807647705, + "epoch": 4.748361069087242, + "grad_norm": 1.1953125, + "learning_rate": 0.00033350244551383064, + "loss": 4.9981, + "mean_token_accuracy": 0.18811080902814864, + "num_tokens": 10405279.0, + "step": 4710 + }, + { + "entropy": 5.397424650192261, + "epoch": 4.753403933434191, + "grad_norm": 1.1796875, + "learning_rate": 0.0003331193321041793, + "loss": 4.9563, + "mean_token_accuracy": 0.1881820723414421, + "num_tokens": 10417504.0, + "step": 4715 + }, + { + "entropy": 5.425117683410645, + "epoch": 4.75844679778114, + "grad_norm": 1.1015625, + "learning_rate": 0.00033273603805830296, + "loss": 4.9777, + "mean_token_accuracy": 0.18997900187969208, + "num_tokens": 10428824.0, + "step": 4720 + }, + { + "entropy": 5.47361912727356, + "epoch": 4.763489662128089, + "grad_norm": 1.140625, + "learning_rate": 0.00033235256456748847, + "loss": 5.0229, + "mean_token_accuracy": 0.1850911021232605, + "num_tokens": 10440164.0, + "step": 4725 + }, + { + "entropy": 5.507453775405883, + "epoch": 4.768532526475038, + "grad_norm": 1.2578125, + "learning_rate": 0.0003319689128235804, + "loss": 4.9309, + "mean_token_accuracy": 0.19020796716213226, + "num_tokens": 10450216.0, + "step": 4730 + }, + { + "entropy": 5.436894702911377, + "epoch": 4.773575390821987, + "grad_norm": 1.390625, + "learning_rate": 0.00033158508401897707, + "loss": 4.9579, + "mean_token_accuracy": 0.19510447680950166, + "num_tokens": 10461521.0, + "step": 4735 + }, + { + "entropy": 5.441084003448486, + "epoch": 4.778618255168936, + "grad_norm": 1.140625, + "learning_rate": 0.0003312010793466273, + "loss": 5.0663, + "mean_token_accuracy": 0.17662031203508377, + "num_tokens": 10473052.0, + "step": 4740 + }, + { + "entropy": 5.386702537536621, + "epoch": 4.783661119515885, + "grad_norm": 1.2734375, + "learning_rate": 0.0003308169000000265, + "loss": 4.9103, + "mean_token_accuracy": 0.19201598614454268, + "num_tokens": 10483197.0, + "step": 4745 + }, + { + "entropy": 5.4234694480896, + "epoch": 4.788703983862834, + "grad_norm": 1.203125, + "learning_rate": 0.0003304325471732129, + "loss": 4.9217, + "mean_token_accuracy": 0.18737069070339202, + "num_tokens": 10493877.0, + "step": 4750 + }, + { + "entropy": 5.445645141601562, + "epoch": 4.793746848209783, + "grad_norm": 1.09375, + "learning_rate": 0.00033004802206076396, + "loss": 4.9896, + "mean_token_accuracy": 0.1867102414369583, + "num_tokens": 10505457.0, + "step": 4755 + }, + { + "entropy": 5.451334476470947, + "epoch": 4.798789712556732, + "grad_norm": 1.25, + "learning_rate": 0.00032966332585779263, + "loss": 5.0065, + "mean_token_accuracy": 0.18804700821638107, + "num_tokens": 10516746.0, + "step": 4760 + }, + { + "entropy": 5.501697826385498, + "epoch": 4.803832576903681, + "grad_norm": 1.265625, + "learning_rate": 0.00032927845975994356, + "loss": 4.987, + "mean_token_accuracy": 0.18748954087495803, + "num_tokens": 10527879.0, + "step": 4765 + }, + { + "entropy": 5.478173398971558, + "epoch": 4.80887544125063, + "grad_norm": 1.25, + "learning_rate": 0.00032889342496338953, + "loss": 5.043, + "mean_token_accuracy": 0.18037958443164825, + "num_tokens": 10539729.0, + "step": 4770 + }, + { + "entropy": 5.456065368652344, + "epoch": 4.813918305597579, + "grad_norm": 1.1484375, + "learning_rate": 0.0003285082226648273, + "loss": 5.061, + "mean_token_accuracy": 0.18717390894889832, + "num_tokens": 10551343.0, + "step": 4775 + }, + { + "entropy": 5.458584022521973, + "epoch": 4.8189611699445285, + "grad_norm": 1.1875, + "learning_rate": 0.0003281228540614749, + "loss": 4.9506, + "mean_token_accuracy": 0.19011957943439484, + "num_tokens": 10562362.0, + "step": 4780 + }, + { + "entropy": 5.431289768218994, + "epoch": 4.824004034291478, + "grad_norm": 1.1171875, + "learning_rate": 0.00032773732035106657, + "loss": 4.9544, + "mean_token_accuracy": 0.18818462193012236, + "num_tokens": 10574203.0, + "step": 4785 + }, + { + "entropy": 5.452210330963135, + "epoch": 4.829046898638427, + "grad_norm": 1.1796875, + "learning_rate": 0.00032735162273185006, + "loss": 4.9991, + "mean_token_accuracy": 0.17896709591150284, + "num_tokens": 10585732.0, + "step": 4790 + }, + { + "entropy": 5.494658279418945, + "epoch": 4.834089762985376, + "grad_norm": 1.1953125, + "learning_rate": 0.0003269657624025824, + "loss": 5.0101, + "mean_token_accuracy": 0.19213832318782806, + "num_tokens": 10596414.0, + "step": 4795 + }, + { + "entropy": 5.473741817474365, + "epoch": 4.839132627332325, + "grad_norm": 1.03125, + "learning_rate": 0.0003265797405625265, + "loss": 4.947, + "mean_token_accuracy": 0.189757277071476, + "num_tokens": 10608893.0, + "step": 4800 + }, + { + "entropy": 5.353061628341675, + "epoch": 4.844175491679274, + "grad_norm": 1.2421875, + "learning_rate": 0.0003261935584114471, + "loss": 4.869, + "mean_token_accuracy": 0.19499963223934175, + "num_tokens": 10619229.0, + "step": 4805 + }, + { + "entropy": 5.358573865890503, + "epoch": 4.849218356026223, + "grad_norm": 1.0703125, + "learning_rate": 0.0003258072171496072, + "loss": 4.9867, + "mean_token_accuracy": 0.18436321318149568, + "num_tokens": 10630811.0, + "step": 4810 + }, + { + "entropy": 5.45855302810669, + "epoch": 4.854261220373172, + "grad_norm": 1.3203125, + "learning_rate": 0.0003254207179777644, + "loss": 4.9808, + "mean_token_accuracy": 0.19197733849287033, + "num_tokens": 10641191.0, + "step": 4815 + }, + { + "entropy": 5.453788089752197, + "epoch": 4.8593040847201205, + "grad_norm": 1.265625, + "learning_rate": 0.000325034062097167, + "loss": 5.0329, + "mean_token_accuracy": 0.18242633044719697, + "num_tokens": 10652019.0, + "step": 4820 + }, + { + "entropy": 5.456726026535034, + "epoch": 4.86434694906707, + "grad_norm": 1.140625, + "learning_rate": 0.00032464725070955046, + "loss": 5.0328, + "mean_token_accuracy": 0.18062737584114075, + "num_tokens": 10664820.0, + "step": 4825 + }, + { + "entropy": 5.48663558959961, + "epoch": 4.869389813414019, + "grad_norm": 1.296875, + "learning_rate": 0.00032426028501713347, + "loss": 4.9731, + "mean_token_accuracy": 0.18408883810043336, + "num_tokens": 10676343.0, + "step": 4830 + }, + { + "entropy": 5.445742988586426, + "epoch": 4.874432677760968, + "grad_norm": 1.25, + "learning_rate": 0.00032387316622261425, + "loss": 5.0056, + "mean_token_accuracy": 0.18338582515716553, + "num_tokens": 10687464.0, + "step": 4835 + }, + { + "entropy": 5.407337713241577, + "epoch": 4.879475542107917, + "grad_norm": 1.1328125, + "learning_rate": 0.00032348589552916703, + "loss": 4.9456, + "mean_token_accuracy": 0.18678104132413864, + "num_tokens": 10698796.0, + "step": 4840 + }, + { + "entropy": 5.440946578979492, + "epoch": 4.884518406454866, + "grad_norm": 1.21875, + "learning_rate": 0.0003230984741404381, + "loss": 4.9428, + "mean_token_accuracy": 0.18648777455091475, + "num_tokens": 10708759.0, + "step": 4845 + }, + { + "entropy": 5.520267152786255, + "epoch": 4.889561270801815, + "grad_norm": 1.3671875, + "learning_rate": 0.0003227109032605419, + "loss": 4.9954, + "mean_token_accuracy": 0.18635909855365754, + "num_tokens": 10718518.0, + "step": 4850 + }, + { + "entropy": 5.474165201187134, + "epoch": 4.894604135148764, + "grad_norm": 1.171875, + "learning_rate": 0.0003223231840940578, + "loss": 5.0391, + "mean_token_accuracy": 0.18102305382490158, + "num_tokens": 10730091.0, + "step": 4855 + }, + { + "entropy": 5.400430488586426, + "epoch": 4.8996469994957135, + "grad_norm": 1.2578125, + "learning_rate": 0.00032193531784602595, + "loss": 4.9725, + "mean_token_accuracy": 0.18741223067045212, + "num_tokens": 10739664.0, + "step": 4860 + }, + { + "entropy": 5.423764419555664, + "epoch": 4.904689863842663, + "grad_norm": 1.3359375, + "learning_rate": 0.00032154730572194346, + "loss": 4.9291, + "mean_token_accuracy": 0.19145375043153762, + "num_tokens": 10749573.0, + "step": 4865 + }, + { + "entropy": 5.503514146804809, + "epoch": 4.909732728189612, + "grad_norm": 1.2734375, + "learning_rate": 0.000321159148927761, + "loss": 5.0556, + "mean_token_accuracy": 0.18899090141057967, + "num_tokens": 10760455.0, + "step": 4870 + }, + { + "entropy": 5.5097449779510494, + "epoch": 4.914775592536561, + "grad_norm": 1.3125, + "learning_rate": 0.000320770848669879, + "loss": 5.0187, + "mean_token_accuracy": 0.18463164716959, + "num_tokens": 10771845.0, + "step": 4875 + }, + { + "entropy": 5.438835954666137, + "epoch": 4.91981845688351, + "grad_norm": 1.171875, + "learning_rate": 0.00032038240615514345, + "loss": 4.9946, + "mean_token_accuracy": 0.18855448365211486, + "num_tokens": 10783812.0, + "step": 4880 + }, + { + "entropy": 5.403696203231812, + "epoch": 4.924861321230459, + "grad_norm": 1.3125, + "learning_rate": 0.0003199938225908426, + "loss": 4.9135, + "mean_token_accuracy": 0.18758562356233596, + "num_tokens": 10794390.0, + "step": 4885 + }, + { + "entropy": 5.430738544464111, + "epoch": 4.929904185577408, + "grad_norm": 1.140625, + "learning_rate": 0.0003196050991847033, + "loss": 4.9578, + "mean_token_accuracy": 0.18548450171947478, + "num_tokens": 10805521.0, + "step": 4890 + }, + { + "entropy": 5.4192510604858395, + "epoch": 4.934947049924357, + "grad_norm": 1.15625, + "learning_rate": 0.0003192162371448868, + "loss": 4.9664, + "mean_token_accuracy": 0.1857212409377098, + "num_tokens": 10816265.0, + "step": 4895 + }, + { + "entropy": 5.4131299495697025, + "epoch": 4.939989914271306, + "grad_norm": 1.28125, + "learning_rate": 0.00031882723767998517, + "loss": 4.9921, + "mean_token_accuracy": 0.18737585991621017, + "num_tokens": 10826285.0, + "step": 4900 + }, + { + "entropy": 5.41847596168518, + "epoch": 4.9450327786182555, + "grad_norm": 1.2578125, + "learning_rate": 0.00031843810199901795, + "loss": 4.9347, + "mean_token_accuracy": 0.19147606939077377, + "num_tokens": 10836817.0, + "step": 4905 + }, + { + "entropy": 5.45005612373352, + "epoch": 4.950075642965205, + "grad_norm": 1.171875, + "learning_rate": 0.0003180488313114277, + "loss": 4.9638, + "mean_token_accuracy": 0.18842111229896547, + "num_tokens": 10848186.0, + "step": 4910 + }, + { + "entropy": 5.374664354324341, + "epoch": 4.955118507312154, + "grad_norm": 1.234375, + "learning_rate": 0.0003176594268270766, + "loss": 4.9524, + "mean_token_accuracy": 0.19444430619478226, + "num_tokens": 10858851.0, + "step": 4915 + }, + { + "entropy": 5.424822568893433, + "epoch": 4.960161371659103, + "grad_norm": 1.1171875, + "learning_rate": 0.00031726988975624293, + "loss": 4.9957, + "mean_token_accuracy": 0.18679312616586685, + "num_tokens": 10870242.0, + "step": 4920 + }, + { + "entropy": 5.4419248580932615, + "epoch": 4.965204236006051, + "grad_norm": 1.2734375, + "learning_rate": 0.00031688022130961675, + "loss": 4.9299, + "mean_token_accuracy": 0.18993133008480073, + "num_tokens": 10881580.0, + "step": 4925 + }, + { + "entropy": 5.439469051361084, + "epoch": 4.970247100353, + "grad_norm": 1.1484375, + "learning_rate": 0.0003164904226982967, + "loss": 4.9934, + "mean_token_accuracy": 0.19487899541854858, + "num_tokens": 10893140.0, + "step": 4930 + }, + { + "entropy": 5.448909187316895, + "epoch": 4.975289964699949, + "grad_norm": 1.1328125, + "learning_rate": 0.00031610049513378574, + "loss": 4.9945, + "mean_token_accuracy": 0.1908086955547333, + "num_tokens": 10904373.0, + "step": 4935 + }, + { + "entropy": 5.507550525665283, + "epoch": 4.9803328290468984, + "grad_norm": 1.328125, + "learning_rate": 0.00031571043982798786, + "loss": 5.0025, + "mean_token_accuracy": 0.18820565193891525, + "num_tokens": 10914155.0, + "step": 4940 + }, + { + "entropy": 5.516139650344849, + "epoch": 4.985375693393848, + "grad_norm": 1.1796875, + "learning_rate": 0.0003153202579932039, + "loss": 5.009, + "mean_token_accuracy": 0.1866231933236122, + "num_tokens": 10926325.0, + "step": 4945 + }, + { + "entropy": 5.493792581558227, + "epoch": 4.990418557740797, + "grad_norm": 1.15625, + "learning_rate": 0.00031492995084212794, + "loss": 5.0369, + "mean_token_accuracy": 0.18808876425027848, + "num_tokens": 10938799.0, + "step": 4950 + }, + { + "entropy": 5.443079853057862, + "epoch": 4.995461422087746, + "grad_norm": 1.1796875, + "learning_rate": 0.0003145395195878437, + "loss": 4.8587, + "mean_token_accuracy": 0.19427645206451416, + "num_tokens": 10949918.0, + "step": 4955 + }, + { + "entropy": 5.373980893029107, + "epoch": 5.0, + "grad_norm": 2.296875, + "learning_rate": 0.00031414896544382047, + "loss": 4.8479, + "mean_token_accuracy": 0.1932825760708915, + "num_tokens": 10958200.0, + "step": 4960 + }, + { + "entropy": 5.377087545394898, + "epoch": 5.005042864346949, + "grad_norm": 1.1796875, + "learning_rate": 0.0003137582896239095, + "loss": 4.7798, + "mean_token_accuracy": 0.19978601783514022, + "num_tokens": 10969020.0, + "step": 4965 + }, + { + "entropy": 5.3690825462341305, + "epoch": 5.010085728693898, + "grad_norm": 1.1796875, + "learning_rate": 0.0003133674933423404, + "loss": 4.6958, + "mean_token_accuracy": 0.21049367189407348, + "num_tokens": 10978191.0, + "step": 4970 + }, + { + "entropy": 5.39783124923706, + "epoch": 5.015128593040847, + "grad_norm": 1.1171875, + "learning_rate": 0.00031297657781371687, + "loss": 4.769, + "mean_token_accuracy": 0.20987659692764282, + "num_tokens": 10989022.0, + "step": 4975 + }, + { + "entropy": 5.46621470451355, + "epoch": 5.0201714573877965, + "grad_norm": 1.25, + "learning_rate": 0.0003125855442530135, + "loss": 4.8209, + "mean_token_accuracy": 0.20026374459266663, + "num_tokens": 11002727.0, + "step": 4980 + }, + { + "entropy": 5.405496120452881, + "epoch": 5.025214321734746, + "grad_norm": 1.078125, + "learning_rate": 0.00031219439387557155, + "loss": 4.762, + "mean_token_accuracy": 0.2060738682746887, + "num_tokens": 11013723.0, + "step": 4985 + }, + { + "entropy": 5.470185852050781, + "epoch": 5.030257186081695, + "grad_norm": 1.1640625, + "learning_rate": 0.00031180312789709535, + "loss": 4.7332, + "mean_token_accuracy": 0.20676991194486619, + "num_tokens": 11024676.0, + "step": 4990 + }, + { + "entropy": 5.4253129959106445, + "epoch": 5.035300050428644, + "grad_norm": 1.2265625, + "learning_rate": 0.0003114117475336487, + "loss": 4.7794, + "mean_token_accuracy": 0.2019949272274971, + "num_tokens": 11036314.0, + "step": 4995 + }, + { + "entropy": 5.399463033676147, + "epoch": 5.040342914775593, + "grad_norm": 1.3046875, + "learning_rate": 0.0003110202540016509, + "loss": 4.7499, + "mean_token_accuracy": 0.2073090746998787, + "num_tokens": 11046321.0, + "step": 5000 + }, + { + "epoch": 5.040342914775593, + "eval_entropy": 5.259037116708343, + "eval_loss": 5.665579795837402, + "eval_mean_token_accuracy": 0.1547874487538374, + "eval_num_tokens": 11046321.0, + "eval_runtime": 2.0489, + "eval_samples_per_second": 1531.555, + "eval_steps_per_second": 191.81, + "step": 5000 + }, + { + "entropy": 5.422780227661133, + "epoch": 5.045385779122542, + "grad_norm": 1.0546875, + "learning_rate": 0.00031062864851787267, + "loss": 4.7483, + "mean_token_accuracy": 0.20660395473241805, + "num_tokens": 11059021.0, + "step": 5005 + }, + { + "entropy": 5.413686323165893, + "epoch": 5.05042864346949, + "grad_norm": 1.390625, + "learning_rate": 0.00031023693229943294, + "loss": 4.7311, + "mean_token_accuracy": 0.20787329226732254, + "num_tokens": 11069785.0, + "step": 5010 + }, + { + "entropy": 5.442879867553711, + "epoch": 5.055471507816439, + "grad_norm": 1.328125, + "learning_rate": 0.0003098451065637948, + "loss": 4.789, + "mean_token_accuracy": 0.20268239378929137, + "num_tokens": 11079439.0, + "step": 5015 + }, + { + "entropy": 5.377065849304199, + "epoch": 5.0605143721633885, + "grad_norm": 1.2265625, + "learning_rate": 0.00030945317252876163, + "loss": 4.7887, + "mean_token_accuracy": 0.20264918059110643, + "num_tokens": 11089933.0, + "step": 5020 + }, + { + "entropy": 5.395506191253662, + "epoch": 5.065557236510338, + "grad_norm": 1.21875, + "learning_rate": 0.00030906113141247353, + "loss": 4.7127, + "mean_token_accuracy": 0.2048274829983711, + "num_tokens": 11099743.0, + "step": 5025 + }, + { + "entropy": 5.2882936000823975, + "epoch": 5.070600100857287, + "grad_norm": 1.4140625, + "learning_rate": 0.00030866898443340324, + "loss": 4.66, + "mean_token_accuracy": 0.21423418521881105, + "num_tokens": 11109993.0, + "step": 5030 + }, + { + "entropy": 5.454429244995117, + "epoch": 5.075642965204236, + "grad_norm": 1.234375, + "learning_rate": 0.0003082767328103527, + "loss": 4.7316, + "mean_token_accuracy": 0.19962920844554902, + "num_tokens": 11121071.0, + "step": 5035 + }, + { + "entropy": 5.468168592453003, + "epoch": 5.080685829551185, + "grad_norm": 1.34375, + "learning_rate": 0.00030788437776244895, + "loss": 4.707, + "mean_token_accuracy": 0.21180965304374694, + "num_tokens": 11130402.0, + "step": 5040 + }, + { + "entropy": 5.363940095901489, + "epoch": 5.085728693898134, + "grad_norm": 1.1875, + "learning_rate": 0.0003074919205091405, + "loss": 4.815, + "mean_token_accuracy": 0.200840762257576, + "num_tokens": 11141272.0, + "step": 5045 + }, + { + "entropy": 5.448993110656739, + "epoch": 5.090771558245083, + "grad_norm": 1.28125, + "learning_rate": 0.0003070993622701936, + "loss": 4.7531, + "mean_token_accuracy": 0.2033784419298172, + "num_tokens": 11152254.0, + "step": 5050 + }, + { + "entropy": 5.383047008514405, + "epoch": 5.095814422592032, + "grad_norm": 1.4296875, + "learning_rate": 0.00030670670426568837, + "loss": 4.6806, + "mean_token_accuracy": 0.21028010547161102, + "num_tokens": 11162848.0, + "step": 5055 + }, + { + "entropy": 5.356310844421387, + "epoch": 5.100857286938981, + "grad_norm": 1.265625, + "learning_rate": 0.0003063139477160147, + "loss": 4.6863, + "mean_token_accuracy": 0.20928248167037963, + "num_tokens": 11173896.0, + "step": 5060 + }, + { + "entropy": 5.398014307022095, + "epoch": 5.1059001512859306, + "grad_norm": 1.2734375, + "learning_rate": 0.00030592109384186935, + "loss": 4.7307, + "mean_token_accuracy": 0.21019263416528702, + "num_tokens": 11184423.0, + "step": 5065 + }, + { + "entropy": 5.388689661026001, + "epoch": 5.11094301563288, + "grad_norm": 1.3125, + "learning_rate": 0.000305528143864251, + "loss": 4.7624, + "mean_token_accuracy": 0.2092597559094429, + "num_tokens": 11195128.0, + "step": 5070 + }, + { + "entropy": 5.373467206954956, + "epoch": 5.115985879979829, + "grad_norm": 1.28125, + "learning_rate": 0.00030513509900445725, + "loss": 4.7285, + "mean_token_accuracy": 0.21020106822252274, + "num_tokens": 11205628.0, + "step": 5075 + }, + { + "entropy": 5.383992910385132, + "epoch": 5.121028744326778, + "grad_norm": 1.3828125, + "learning_rate": 0.00030474196048408065, + "loss": 4.7651, + "mean_token_accuracy": 0.20403726100921632, + "num_tokens": 11216835.0, + "step": 5080 + }, + { + "entropy": 5.391399335861206, + "epoch": 5.126071608673727, + "grad_norm": 1.4140625, + "learning_rate": 0.0003043487295250049, + "loss": 4.7863, + "mean_token_accuracy": 0.19799292981624603, + "num_tokens": 11228763.0, + "step": 5085 + }, + { + "entropy": 5.366147708892822, + "epoch": 5.131114473020676, + "grad_norm": 1.3203125, + "learning_rate": 0.0003039554073494006, + "loss": 4.7319, + "mean_token_accuracy": 0.21267775297164918, + "num_tokens": 11239432.0, + "step": 5090 + }, + { + "entropy": 5.470732545852661, + "epoch": 5.136157337367624, + "grad_norm": 1.15625, + "learning_rate": 0.0003035619951797224, + "loss": 4.8514, + "mean_token_accuracy": 0.1952908530831337, + "num_tokens": 11249618.0, + "step": 5095 + }, + { + "entropy": 5.432192802429199, + "epoch": 5.1412002017145735, + "grad_norm": 1.234375, + "learning_rate": 0.0003031684942387043, + "loss": 4.7746, + "mean_token_accuracy": 0.2070817768573761, + "num_tokens": 11260359.0, + "step": 5100 + }, + { + "entropy": 5.400609254837036, + "epoch": 5.146243066061523, + "grad_norm": 1.1328125, + "learning_rate": 0.00030277490574935633, + "loss": 4.8143, + "mean_token_accuracy": 0.1999165177345276, + "num_tokens": 11272003.0, + "step": 5105 + }, + { + "entropy": 5.39234561920166, + "epoch": 5.151285930408472, + "grad_norm": 1.1796875, + "learning_rate": 0.0003023812309349605, + "loss": 4.7549, + "mean_token_accuracy": 0.20627606362104417, + "num_tokens": 11283649.0, + "step": 5110 + }, + { + "entropy": 5.5274261951446535, + "epoch": 5.156328794755421, + "grad_norm": 1.1953125, + "learning_rate": 0.0003019874710190674, + "loss": 4.8718, + "mean_token_accuracy": 0.1988748401403427, + "num_tokens": 11295844.0, + "step": 5115 + }, + { + "entropy": 5.449365043640137, + "epoch": 5.16137165910237, + "grad_norm": 1.203125, + "learning_rate": 0.0003015936272254918, + "loss": 4.7737, + "mean_token_accuracy": 0.2059719055891037, + "num_tokens": 11306676.0, + "step": 5120 + }, + { + "entropy": 5.384851932525635, + "epoch": 5.166414523449319, + "grad_norm": 1.234375, + "learning_rate": 0.0003011997007783094, + "loss": 4.7456, + "mean_token_accuracy": 0.20340470224618912, + "num_tokens": 11317801.0, + "step": 5125 + }, + { + "entropy": 5.382043647766113, + "epoch": 5.171457387796268, + "grad_norm": 1.296875, + "learning_rate": 0.0003008056929018525, + "loss": 4.7306, + "mean_token_accuracy": 0.20402662605047225, + "num_tokens": 11327530.0, + "step": 5130 + }, + { + "entropy": 5.5060724258422855, + "epoch": 5.176500252143217, + "grad_norm": 1.3515625, + "learning_rate": 0.00030041160482070686, + "loss": 4.7442, + "mean_token_accuracy": 0.20388694554567338, + "num_tokens": 11338784.0, + "step": 5135 + }, + { + "entropy": 5.406298446655273, + "epoch": 5.181543116490166, + "grad_norm": 1.4765625, + "learning_rate": 0.00030001743775970714, + "loss": 4.7815, + "mean_token_accuracy": 0.20606305152177812, + "num_tokens": 11348666.0, + "step": 5140 + }, + { + "entropy": 5.387162542343139, + "epoch": 5.1865859808371155, + "grad_norm": 1.4140625, + "learning_rate": 0.00029962319294393383, + "loss": 4.73, + "mean_token_accuracy": 0.2070406809449196, + "num_tokens": 11358247.0, + "step": 5145 + }, + { + "entropy": 5.343744802474975, + "epoch": 5.191628845184065, + "grad_norm": 1.4140625, + "learning_rate": 0.0002992288715987088, + "loss": 4.754, + "mean_token_accuracy": 0.20762002915143968, + "num_tokens": 11369897.0, + "step": 5150 + }, + { + "entropy": 5.429714822769165, + "epoch": 5.196671709531014, + "grad_norm": 1.1796875, + "learning_rate": 0.0002988344749495919, + "loss": 4.8356, + "mean_token_accuracy": 0.20064053535461426, + "num_tokens": 11381747.0, + "step": 5155 + }, + { + "entropy": 5.450630521774292, + "epoch": 5.201714573877963, + "grad_norm": 1.1796875, + "learning_rate": 0.00029844000422237714, + "loss": 4.8277, + "mean_token_accuracy": 0.19658990800380707, + "num_tokens": 11393725.0, + "step": 5160 + }, + { + "entropy": 5.3230180740356445, + "epoch": 5.206757438224912, + "grad_norm": 1.3515625, + "learning_rate": 0.00029804546064308854, + "loss": 4.7771, + "mean_token_accuracy": 0.2036718338727951, + "num_tokens": 11405223.0, + "step": 5165 + }, + { + "entropy": 5.4090415954589846, + "epoch": 5.211800302571861, + "grad_norm": 1.1171875, + "learning_rate": 0.00029765084543797657, + "loss": 4.7617, + "mean_token_accuracy": 0.20066658705472945, + "num_tokens": 11416334.0, + "step": 5170 + }, + { + "entropy": 5.387953090667724, + "epoch": 5.21684316691881, + "grad_norm": 1.28125, + "learning_rate": 0.0002972561598335145, + "loss": 4.7496, + "mean_token_accuracy": 0.20192946195602418, + "num_tokens": 11427202.0, + "step": 5175 + }, + { + "entropy": 5.42350058555603, + "epoch": 5.221886031265759, + "grad_norm": 1.2734375, + "learning_rate": 0.0002968614050563943, + "loss": 4.8457, + "mean_token_accuracy": 0.19637791067361832, + "num_tokens": 11438302.0, + "step": 5180 + }, + { + "entropy": 5.411188840866089, + "epoch": 5.2269288956127085, + "grad_norm": 1.1875, + "learning_rate": 0.0002964665823335229, + "loss": 4.7577, + "mean_token_accuracy": 0.20150525718927384, + "num_tokens": 11450551.0, + "step": 5185 + }, + { + "entropy": 5.3604906558990475, + "epoch": 5.231971759959657, + "grad_norm": 1.171875, + "learning_rate": 0.00029607169289201836, + "loss": 4.741, + "mean_token_accuracy": 0.21597910523414612, + "num_tokens": 11460907.0, + "step": 5190 + }, + { + "entropy": 5.375416374206543, + "epoch": 5.237014624306606, + "grad_norm": 1.2109375, + "learning_rate": 0.00029567673795920625, + "loss": 4.7224, + "mean_token_accuracy": 0.207424658536911, + "num_tokens": 11472290.0, + "step": 5195 + }, + { + "entropy": 5.276330804824829, + "epoch": 5.242057488653555, + "grad_norm": 1.171875, + "learning_rate": 0.00029528171876261555, + "loss": 4.7787, + "mean_token_accuracy": 0.20905390083789827, + "num_tokens": 11484946.0, + "step": 5200 + }, + { + "entropy": 5.454510831832886, + "epoch": 5.247100353000504, + "grad_norm": 1.2734375, + "learning_rate": 0.0002948866365299751, + "loss": 4.8389, + "mean_token_accuracy": 0.1950281471014023, + "num_tokens": 11494845.0, + "step": 5205 + }, + { + "entropy": 5.511236238479614, + "epoch": 5.252143217347453, + "grad_norm": 1.203125, + "learning_rate": 0.0002944914924892096, + "loss": 4.852, + "mean_token_accuracy": 0.19927518665790558, + "num_tokens": 11506533.0, + "step": 5210 + }, + { + "entropy": 5.375716781616211, + "epoch": 5.257186081694402, + "grad_norm": 1.2265625, + "learning_rate": 0.0002940962878684358, + "loss": 4.7628, + "mean_token_accuracy": 0.20310329794883727, + "num_tokens": 11516985.0, + "step": 5215 + }, + { + "entropy": 5.324270009994507, + "epoch": 5.262228946041351, + "grad_norm": 1.515625, + "learning_rate": 0.0002937010238959588, + "loss": 4.7455, + "mean_token_accuracy": 0.20899288654327391, + "num_tokens": 11526203.0, + "step": 5220 + }, + { + "entropy": 5.351016664505005, + "epoch": 5.2672718103883005, + "grad_norm": 1.4609375, + "learning_rate": 0.0002933057018002681, + "loss": 4.8466, + "mean_token_accuracy": 0.2013192817568779, + "num_tokens": 11536676.0, + "step": 5225 + }, + { + "entropy": 5.415819597244263, + "epoch": 5.27231467473525, + "grad_norm": 1.1171875, + "learning_rate": 0.000292910322810034, + "loss": 4.7999, + "mean_token_accuracy": 0.20850418359041215, + "num_tokens": 11548466.0, + "step": 5230 + }, + { + "entropy": 5.401542377471924, + "epoch": 5.277357539082199, + "grad_norm": 1.1171875, + "learning_rate": 0.00029251488815410344, + "loss": 4.8248, + "mean_token_accuracy": 0.19646383076906204, + "num_tokens": 11560065.0, + "step": 5235 + }, + { + "entropy": 5.407020950317383, + "epoch": 5.282400403429148, + "grad_norm": 1.25, + "learning_rate": 0.00029211939906149644, + "loss": 4.8254, + "mean_token_accuracy": 0.1985974207520485, + "num_tokens": 11571718.0, + "step": 5240 + }, + { + "entropy": 5.37835693359375, + "epoch": 5.287443267776097, + "grad_norm": 1.2578125, + "learning_rate": 0.00029172385676140225, + "loss": 4.8058, + "mean_token_accuracy": 0.20265444219112397, + "num_tokens": 11583046.0, + "step": 5245 + }, + { + "entropy": 5.317554950714111, + "epoch": 5.292486132123046, + "grad_norm": 1.265625, + "learning_rate": 0.00029132826248317537, + "loss": 4.6898, + "mean_token_accuracy": 0.20848133116960527, + "num_tokens": 11593744.0, + "step": 5250 + }, + { + "entropy": 5.385888576507568, + "epoch": 5.297528996469995, + "grad_norm": 1.2421875, + "learning_rate": 0.0002909326174563322, + "loss": 4.7439, + "mean_token_accuracy": 0.20916520357131957, + "num_tokens": 11604337.0, + "step": 5255 + }, + { + "entropy": 5.394536018371582, + "epoch": 5.302571860816944, + "grad_norm": 1.2578125, + "learning_rate": 0.00029053692291054636, + "loss": 4.8092, + "mean_token_accuracy": 0.2000624418258667, + "num_tokens": 11615712.0, + "step": 5260 + }, + { + "entropy": 5.324703073501587, + "epoch": 5.307614725163893, + "grad_norm": 1.140625, + "learning_rate": 0.00029014118007564564, + "loss": 4.7372, + "mean_token_accuracy": 0.20561733543872834, + "num_tokens": 11625846.0, + "step": 5265 + }, + { + "entropy": 5.344365358352661, + "epoch": 5.3126575895108425, + "grad_norm": 1.296875, + "learning_rate": 0.0002897453901816081, + "loss": 4.7914, + "mean_token_accuracy": 0.20059997588396072, + "num_tokens": 11635968.0, + "step": 5270 + }, + { + "entropy": 5.4661658763885494, + "epoch": 5.317700453857791, + "grad_norm": 1.3515625, + "learning_rate": 0.00028934955445855773, + "loss": 4.8665, + "mean_token_accuracy": 0.20574951171875, + "num_tokens": 11646858.0, + "step": 5275 + }, + { + "entropy": 5.3323393821716305, + "epoch": 5.32274331820474, + "grad_norm": 1.328125, + "learning_rate": 0.00028895367413676095, + "loss": 4.7689, + "mean_token_accuracy": 0.20801410377025603, + "num_tokens": 11657728.0, + "step": 5280 + }, + { + "entropy": 5.462389087677002, + "epoch": 5.327786182551689, + "grad_norm": 1.265625, + "learning_rate": 0.0002885577504466232, + "loss": 4.8162, + "mean_token_accuracy": 0.20330755561590194, + "num_tokens": 11668288.0, + "step": 5285 + }, + { + "entropy": 5.37921552658081, + "epoch": 5.332829046898638, + "grad_norm": 1.140625, + "learning_rate": 0.00028816178461868425, + "loss": 4.7375, + "mean_token_accuracy": 0.2022107347846031, + "num_tokens": 11679883.0, + "step": 5290 + }, + { + "entropy": 5.415158128738403, + "epoch": 5.337871911245587, + "grad_norm": 1.1484375, + "learning_rate": 0.0002877657778836151, + "loss": 4.8363, + "mean_token_accuracy": 0.19621689319610597, + "num_tokens": 11690643.0, + "step": 5295 + }, + { + "entropy": 5.428422117233277, + "epoch": 5.342914775592536, + "grad_norm": 1.3828125, + "learning_rate": 0.0002873697314722138, + "loss": 4.8324, + "mean_token_accuracy": 0.20309034287929534, + "num_tokens": 11701687.0, + "step": 5300 + }, + { + "entropy": 5.359555959701538, + "epoch": 5.3479576399394855, + "grad_norm": 1.09375, + "learning_rate": 0.0002869736466154018, + "loss": 4.7564, + "mean_token_accuracy": 0.20772893279790877, + "num_tokens": 11713432.0, + "step": 5305 + }, + { + "entropy": 5.408741807937622, + "epoch": 5.353000504286435, + "grad_norm": 1.3203125, + "learning_rate": 0.00028657752454421974, + "loss": 4.8059, + "mean_token_accuracy": 0.20484850853681563, + "num_tokens": 11725009.0, + "step": 5310 + }, + { + "entropy": 5.435963106155396, + "epoch": 5.358043368633384, + "grad_norm": 1.265625, + "learning_rate": 0.0002861813664898245, + "loss": 4.7478, + "mean_token_accuracy": 0.21129528284072877, + "num_tokens": 11735576.0, + "step": 5315 + }, + { + "entropy": 5.396055507659912, + "epoch": 5.363086232980333, + "grad_norm": 1.234375, + "learning_rate": 0.00028578517368348425, + "loss": 4.7527, + "mean_token_accuracy": 0.2051149368286133, + "num_tokens": 11746334.0, + "step": 5320 + }, + { + "entropy": 5.342900180816651, + "epoch": 5.368129097327282, + "grad_norm": 1.1796875, + "learning_rate": 0.0002853889473565753, + "loss": 4.7693, + "mean_token_accuracy": 0.2017793208360672, + "num_tokens": 11757093.0, + "step": 5325 + }, + { + "entropy": 5.349963808059693, + "epoch": 5.373171961674231, + "grad_norm": 1.5859375, + "learning_rate": 0.0002849926887405784, + "loss": 4.7967, + "mean_token_accuracy": 0.19983594566583635, + "num_tokens": 11767141.0, + "step": 5330 + }, + { + "entropy": 5.512475156784058, + "epoch": 5.37821482602118, + "grad_norm": 1.2421875, + "learning_rate": 0.0002845963990670744, + "loss": 4.9514, + "mean_token_accuracy": 0.19021792709827423, + "num_tokens": 11778944.0, + "step": 5335 + }, + { + "entropy": 5.40713062286377, + "epoch": 5.383257690368129, + "grad_norm": 1.375, + "learning_rate": 0.00028420007956774077, + "loss": 4.6902, + "mean_token_accuracy": 0.20905327051877975, + "num_tokens": 11789081.0, + "step": 5340 + }, + { + "entropy": 5.3399951457977295, + "epoch": 5.388300554715078, + "grad_norm": 1.34375, + "learning_rate": 0.00028380373147434746, + "loss": 4.7737, + "mean_token_accuracy": 0.2040804609656334, + "num_tokens": 11800626.0, + "step": 5345 + }, + { + "entropy": 5.378877353668213, + "epoch": 5.3933434190620275, + "grad_norm": 1.203125, + "learning_rate": 0.00028340735601875376, + "loss": 4.7866, + "mean_token_accuracy": 0.19718751609325408, + "num_tokens": 11810899.0, + "step": 5350 + }, + { + "entropy": 5.417437934875489, + "epoch": 5.398386283408977, + "grad_norm": 1.21875, + "learning_rate": 0.0002830109544329036, + "loss": 4.8029, + "mean_token_accuracy": 0.20603054910898208, + "num_tokens": 11822599.0, + "step": 5355 + }, + { + "entropy": 5.413007068634033, + "epoch": 5.403429147755926, + "grad_norm": 1.0390625, + "learning_rate": 0.00028261452794882223, + "loss": 4.8487, + "mean_token_accuracy": 0.20448752641677856, + "num_tokens": 11836199.0, + "step": 5360 + }, + { + "entropy": 5.285883283615112, + "epoch": 5.408472012102875, + "grad_norm": 1.359375, + "learning_rate": 0.00028221807779861243, + "loss": 4.6572, + "mean_token_accuracy": 0.21588353663682938, + "num_tokens": 11846220.0, + "step": 5365 + }, + { + "entropy": 5.366286277770996, + "epoch": 5.413514876449823, + "grad_norm": 1.4453125, + "learning_rate": 0.0002818216052144502, + "loss": 4.7719, + "mean_token_accuracy": 0.20182025879621507, + "num_tokens": 11857356.0, + "step": 5370 + }, + { + "entropy": 5.40411696434021, + "epoch": 5.418557740796772, + "grad_norm": 1.3359375, + "learning_rate": 0.0002814251114285816, + "loss": 4.759, + "mean_token_accuracy": 0.20002357810735702, + "num_tokens": 11869088.0, + "step": 5375 + }, + { + "entropy": 5.362497329711914, + "epoch": 5.423600605143721, + "grad_norm": 1.3828125, + "learning_rate": 0.0002810285976733186, + "loss": 4.7575, + "mean_token_accuracy": 0.2007217139005661, + "num_tokens": 11878805.0, + "step": 5380 + }, + { + "entropy": 5.344033241271973, + "epoch": 5.4286434694906704, + "grad_norm": 1.296875, + "learning_rate": 0.0002806320651810349, + "loss": 4.7229, + "mean_token_accuracy": 0.20748991668224334, + "num_tokens": 11889656.0, + "step": 5385 + }, + { + "entropy": 5.390753555297851, + "epoch": 5.43368633383762, + "grad_norm": 1.21875, + "learning_rate": 0.0002802355151841627, + "loss": 4.7644, + "mean_token_accuracy": 0.20545733124017715, + "num_tokens": 11901816.0, + "step": 5390 + }, + { + "entropy": 5.306405162811279, + "epoch": 5.438729198184569, + "grad_norm": 1.296875, + "learning_rate": 0.0002798389489151886, + "loss": 4.7576, + "mean_token_accuracy": 0.2034154698252678, + "num_tokens": 11915049.0, + "step": 5395 + }, + { + "entropy": 5.366006183624267, + "epoch": 5.443772062531518, + "grad_norm": 1.1953125, + "learning_rate": 0.00027944236760664947, + "loss": 4.7347, + "mean_token_accuracy": 0.2040851205587387, + "num_tokens": 11925574.0, + "step": 5400 + }, + { + "entropy": 5.373019075393676, + "epoch": 5.448814926878467, + "grad_norm": 1.375, + "learning_rate": 0.00027904577249112945, + "loss": 4.7729, + "mean_token_accuracy": 0.20976183712482452, + "num_tokens": 11936790.0, + "step": 5405 + }, + { + "entropy": 5.37097053527832, + "epoch": 5.453857791225416, + "grad_norm": 1.2734375, + "learning_rate": 0.0002786491648012552, + "loss": 4.7702, + "mean_token_accuracy": 0.19968913346529008, + "num_tokens": 11947430.0, + "step": 5410 + }, + { + "entropy": 5.392760419845581, + "epoch": 5.458900655572365, + "grad_norm": 1.359375, + "learning_rate": 0.0002782525457696926, + "loss": 4.8093, + "mean_token_accuracy": 0.2016148239374161, + "num_tokens": 11959385.0, + "step": 5415 + }, + { + "entropy": 5.367619800567627, + "epoch": 5.463943519919314, + "grad_norm": 1.1875, + "learning_rate": 0.0002778559166291427, + "loss": 4.7897, + "mean_token_accuracy": 0.20243736058473588, + "num_tokens": 11972117.0, + "step": 5420 + }, + { + "entropy": 5.404072093963623, + "epoch": 5.468986384266263, + "grad_norm": 1.2109375, + "learning_rate": 0.0002774592786123379, + "loss": 4.8294, + "mean_token_accuracy": 0.19929574579000472, + "num_tokens": 11984195.0, + "step": 5425 + }, + { + "entropy": 5.384224510192871, + "epoch": 5.4740292486132125, + "grad_norm": 1.3828125, + "learning_rate": 0.0002770626329520386, + "loss": 4.7591, + "mean_token_accuracy": 0.20624046474695207, + "num_tokens": 11994875.0, + "step": 5430 + }, + { + "entropy": 5.42634220123291, + "epoch": 5.479072112960162, + "grad_norm": 1.3125, + "learning_rate": 0.0002766659808810285, + "loss": 4.8343, + "mean_token_accuracy": 0.20160355269908906, + "num_tokens": 12006408.0, + "step": 5435 + }, + { + "entropy": 5.4102010250091555, + "epoch": 5.484114977307111, + "grad_norm": 1.21875, + "learning_rate": 0.00027626932363211134, + "loss": 4.7882, + "mean_token_accuracy": 0.2065979465842247, + "num_tokens": 12016764.0, + "step": 5440 + }, + { + "entropy": 5.375625371932983, + "epoch": 5.48915784165406, + "grad_norm": 1.1328125, + "learning_rate": 0.0002758726624381071, + "loss": 4.7426, + "mean_token_accuracy": 0.21021603494882585, + "num_tokens": 12027900.0, + "step": 5445 + }, + { + "entropy": 5.3879789352417, + "epoch": 5.494200706001009, + "grad_norm": 1.34375, + "learning_rate": 0.0002754759985318478, + "loss": 4.8359, + "mean_token_accuracy": 0.19971801191568375, + "num_tokens": 12038641.0, + "step": 5450 + }, + { + "entropy": 5.400270891189575, + "epoch": 5.499243570347957, + "grad_norm": 1.203125, + "learning_rate": 0.0002750793331461741, + "loss": 4.8084, + "mean_token_accuracy": 0.19689522981643676, + "num_tokens": 12050938.0, + "step": 5455 + }, + { + "entropy": 5.380944490432739, + "epoch": 5.504286434694906, + "grad_norm": 1.203125, + "learning_rate": 0.0002746826675139313, + "loss": 4.7536, + "mean_token_accuracy": 0.2038170129060745, + "num_tokens": 12061483.0, + "step": 5460 + }, + { + "entropy": 5.428875350952149, + "epoch": 5.509329299041855, + "grad_norm": 1.4140625, + "learning_rate": 0.00027428600286796503, + "loss": 4.8109, + "mean_token_accuracy": 0.19564636945724487, + "num_tokens": 12073214.0, + "step": 5465 + }, + { + "entropy": 5.413195037841797, + "epoch": 5.5143721633888045, + "grad_norm": 1.515625, + "learning_rate": 0.00027388934044111836, + "loss": 4.7896, + "mean_token_accuracy": 0.20607620030641555, + "num_tokens": 12082536.0, + "step": 5470 + }, + { + "entropy": 5.447469186782837, + "epoch": 5.519415027735754, + "grad_norm": 1.2109375, + "learning_rate": 0.0002734926814662271, + "loss": 4.8629, + "mean_token_accuracy": 0.1926976814866066, + "num_tokens": 12094867.0, + "step": 5475 + }, + { + "entropy": 5.416417980194092, + "epoch": 5.524457892082703, + "grad_norm": 1.3984375, + "learning_rate": 0.00027309602717611673, + "loss": 4.8627, + "mean_token_accuracy": 0.20292915999889374, + "num_tokens": 12105385.0, + "step": 5480 + }, + { + "entropy": 5.364644479751587, + "epoch": 5.529500756429652, + "grad_norm": 1.1484375, + "learning_rate": 0.00027269937880359786, + "loss": 4.7571, + "mean_token_accuracy": 0.2100677892565727, + "num_tokens": 12117652.0, + "step": 5485 + }, + { + "entropy": 5.402087545394897, + "epoch": 5.534543620776601, + "grad_norm": 1.2734375, + "learning_rate": 0.00027230273758146263, + "loss": 4.8328, + "mean_token_accuracy": 0.20247368216514589, + "num_tokens": 12128372.0, + "step": 5490 + }, + { + "entropy": 5.426740074157715, + "epoch": 5.53958648512355, + "grad_norm": 1.3515625, + "learning_rate": 0.0002719061047424813, + "loss": 4.818, + "mean_token_accuracy": 0.2003900319337845, + "num_tokens": 12138943.0, + "step": 5495 + }, + { + "entropy": 5.3167243003845215, + "epoch": 5.544629349470499, + "grad_norm": 1.203125, + "learning_rate": 0.0002715094815193978, + "loss": 4.7368, + "mean_token_accuracy": 0.20867759585380555, + "num_tokens": 12149329.0, + "step": 5500 + }, + { + "entropy": 5.331606101989746, + "epoch": 5.549672213817448, + "grad_norm": 1.359375, + "learning_rate": 0.0002711128691449262, + "loss": 4.7266, + "mean_token_accuracy": 0.20735112428665162, + "num_tokens": 12160498.0, + "step": 5505 + }, + { + "entropy": 5.4235076904296875, + "epoch": 5.5547150781643975, + "grad_norm": 1.328125, + "learning_rate": 0.000270716268851747, + "loss": 4.8422, + "mean_token_accuracy": 0.19248930662870406, + "num_tokens": 12171110.0, + "step": 5510 + }, + { + "entropy": 5.297978353500366, + "epoch": 5.559757942511347, + "grad_norm": 1.1796875, + "learning_rate": 0.00027031968187250305, + "loss": 4.7609, + "mean_token_accuracy": 0.2007995918393135, + "num_tokens": 12182706.0, + "step": 5515 + }, + { + "entropy": 5.36890983581543, + "epoch": 5.564800806858296, + "grad_norm": 1.2578125, + "learning_rate": 0.0002699231094397957, + "loss": 4.7555, + "mean_token_accuracy": 0.20540590286254884, + "num_tokens": 12194023.0, + "step": 5520 + }, + { + "entropy": 5.39328031539917, + "epoch": 5.569843671205245, + "grad_norm": 1.40625, + "learning_rate": 0.0002695265527861815, + "loss": 4.7822, + "mean_token_accuracy": 0.19761642217636108, + "num_tokens": 12204165.0, + "step": 5525 + }, + { + "entropy": 5.416159820556641, + "epoch": 5.574886535552194, + "grad_norm": 1.28125, + "learning_rate": 0.0002691300131441674, + "loss": 4.8489, + "mean_token_accuracy": 0.1993971899151802, + "num_tokens": 12214840.0, + "step": 5530 + }, + { + "entropy": 5.398578071594239, + "epoch": 5.579929399899143, + "grad_norm": 1.1796875, + "learning_rate": 0.0002687334917462079, + "loss": 4.8122, + "mean_token_accuracy": 0.20347722321748735, + "num_tokens": 12226454.0, + "step": 5535 + }, + { + "entropy": 5.382529306411743, + "epoch": 5.584972264246092, + "grad_norm": 1.4921875, + "learning_rate": 0.0002683369898247005, + "loss": 4.8185, + "mean_token_accuracy": 0.19594880789518357, + "num_tokens": 12236958.0, + "step": 5540 + }, + { + "entropy": 5.407418203353882, + "epoch": 5.590015128593041, + "grad_norm": 1.2578125, + "learning_rate": 0.0002679405086119825, + "loss": 4.7829, + "mean_token_accuracy": 0.20016122311353685, + "num_tokens": 12248050.0, + "step": 5545 + }, + { + "entropy": 5.418981838226318, + "epoch": 5.59505799293999, + "grad_norm": 1.359375, + "learning_rate": 0.00026754404934032657, + "loss": 4.7709, + "mean_token_accuracy": 0.19695729166269302, + "num_tokens": 12258230.0, + "step": 5550 + }, + { + "entropy": 5.2918905258178714, + "epoch": 5.600100857286939, + "grad_norm": 1.3125, + "learning_rate": 0.0002671476132419374, + "loss": 4.7131, + "mean_token_accuracy": 0.2035423129796982, + "num_tokens": 12268708.0, + "step": 5555 + }, + { + "entropy": 5.359189367294311, + "epoch": 5.605143721633888, + "grad_norm": 1.2421875, + "learning_rate": 0.0002667512015489472, + "loss": 4.8098, + "mean_token_accuracy": 0.198850516974926, + "num_tokens": 12279363.0, + "step": 5560 + }, + { + "entropy": 5.361038446426392, + "epoch": 5.610186585980837, + "grad_norm": 1.2578125, + "learning_rate": 0.000266354815493413, + "loss": 4.6775, + "mean_token_accuracy": 0.2127465561032295, + "num_tokens": 12290525.0, + "step": 5565 + }, + { + "entropy": 5.3382140636444095, + "epoch": 5.615229450327786, + "grad_norm": 1.171875, + "learning_rate": 0.00026595845630731166, + "loss": 4.7394, + "mean_token_accuracy": 0.21278925836086274, + "num_tokens": 12301404.0, + "step": 5570 + }, + { + "entropy": 5.28578896522522, + "epoch": 5.620272314674735, + "grad_norm": 1.3515625, + "learning_rate": 0.00026556212522253666, + "loss": 4.7747, + "mean_token_accuracy": 0.20052016228437425, + "num_tokens": 12312601.0, + "step": 5575 + }, + { + "entropy": 5.371021366119384, + "epoch": 5.625315179021684, + "grad_norm": 1.4375, + "learning_rate": 0.0002651658234708941, + "loss": 4.7389, + "mean_token_accuracy": 0.20447789281606674, + "num_tokens": 12324192.0, + "step": 5580 + }, + { + "entropy": 5.4337811946868895, + "epoch": 5.630358043368633, + "grad_norm": 1.3046875, + "learning_rate": 0.00026476955228409924, + "loss": 4.7604, + "mean_token_accuracy": 0.21026771813631057, + "num_tokens": 12335358.0, + "step": 5585 + }, + { + "entropy": 5.328546142578125, + "epoch": 5.635400907715582, + "grad_norm": 1.1484375, + "learning_rate": 0.00026437331289377175, + "loss": 4.7659, + "mean_token_accuracy": 0.2018200382590294, + "num_tokens": 12347000.0, + "step": 5590 + }, + { + "entropy": 5.434003067016602, + "epoch": 5.640443772062532, + "grad_norm": 1.3046875, + "learning_rate": 0.0002639771065314329, + "loss": 4.8828, + "mean_token_accuracy": 0.19211796522140503, + "num_tokens": 12358067.0, + "step": 5595 + }, + { + "entropy": 5.412813138961792, + "epoch": 5.645486636409481, + "grad_norm": 1.078125, + "learning_rate": 0.00026358093442850134, + "loss": 4.7987, + "mean_token_accuracy": 0.19619182050228118, + "num_tokens": 12369359.0, + "step": 5600 + }, + { + "entropy": 5.379443597793579, + "epoch": 5.65052950075643, + "grad_norm": 1.1953125, + "learning_rate": 0.0002631847978162889, + "loss": 4.8384, + "mean_token_accuracy": 0.20223764479160308, + "num_tokens": 12380789.0, + "step": 5605 + }, + { + "entropy": 5.349356412887573, + "epoch": 5.655572365103379, + "grad_norm": 1.25, + "learning_rate": 0.00026278869792599745, + "loss": 4.7751, + "mean_token_accuracy": 0.20764461308717727, + "num_tokens": 12392591.0, + "step": 5610 + }, + { + "entropy": 5.34460825920105, + "epoch": 5.660615229450328, + "grad_norm": 1.3046875, + "learning_rate": 0.0002623926359887145, + "loss": 4.8184, + "mean_token_accuracy": 0.19706828147172928, + "num_tokens": 12404269.0, + "step": 5615 + }, + { + "entropy": 5.430381488800049, + "epoch": 5.665658093797277, + "grad_norm": 1.4453125, + "learning_rate": 0.00026199661323540973, + "loss": 4.8309, + "mean_token_accuracy": 0.20572761446237564, + "num_tokens": 12414356.0, + "step": 5620 + }, + { + "entropy": 5.4070611000061035, + "epoch": 5.670700958144226, + "grad_norm": 1.328125, + "learning_rate": 0.00026160063089693096, + "loss": 4.7887, + "mean_token_accuracy": 0.20611845701932907, + "num_tokens": 12424480.0, + "step": 5625 + }, + { + "entropy": 5.383074998855591, + "epoch": 5.675743822491175, + "grad_norm": 1.2578125, + "learning_rate": 0.0002612046902040006, + "loss": 4.8203, + "mean_token_accuracy": 0.19679659008979797, + "num_tokens": 12437253.0, + "step": 5630 + }, + { + "entropy": 5.478241586685181, + "epoch": 5.680786686838124, + "grad_norm": 1.1796875, + "learning_rate": 0.0002608087923872111, + "loss": 4.7828, + "mean_token_accuracy": 0.2005940333008766, + "num_tokens": 12448297.0, + "step": 5635 + }, + { + "entropy": 5.431466722488404, + "epoch": 5.685829551185073, + "grad_norm": 1.21875, + "learning_rate": 0.00026041293867702235, + "loss": 4.835, + "mean_token_accuracy": 0.20168797373771669, + "num_tokens": 12460066.0, + "step": 5640 + }, + { + "entropy": 5.405737352371216, + "epoch": 5.690872415532022, + "grad_norm": 1.2890625, + "learning_rate": 0.00026001713030375664, + "loss": 4.8312, + "mean_token_accuracy": 0.19425902664661407, + "num_tokens": 12469806.0, + "step": 5645 + }, + { + "entropy": 5.340780353546142, + "epoch": 5.695915279878971, + "grad_norm": 1.265625, + "learning_rate": 0.00025962136849759564, + "loss": 4.8248, + "mean_token_accuracy": 0.1924226090312004, + "num_tokens": 12480713.0, + "step": 5650 + }, + { + "entropy": 5.335066604614258, + "epoch": 5.70095814422592, + "grad_norm": 1.2890625, + "learning_rate": 0.00025922565448857605, + "loss": 4.7662, + "mean_token_accuracy": 0.19760394990444183, + "num_tokens": 12491635.0, + "step": 5655 + }, + { + "entropy": 5.405575895309449, + "epoch": 5.706001008572869, + "grad_norm": 1.4140625, + "learning_rate": 0.00025882998950658623, + "loss": 4.7873, + "mean_token_accuracy": 0.19493716955184937, + "num_tokens": 12502064.0, + "step": 5660 + }, + { + "entropy": 5.398749971389771, + "epoch": 5.711043872919818, + "grad_norm": 1.3359375, + "learning_rate": 0.00025843437478136196, + "loss": 4.8079, + "mean_token_accuracy": 0.20524186491966248, + "num_tokens": 12512525.0, + "step": 5665 + }, + { + "entropy": 5.335463333129883, + "epoch": 5.716086737266767, + "grad_norm": 1.1953125, + "learning_rate": 0.00025803881154248305, + "loss": 4.7732, + "mean_token_accuracy": 0.1931627333164215, + "num_tokens": 12523512.0, + "step": 5670 + }, + { + "entropy": 5.351618337631225, + "epoch": 5.7211296016137165, + "grad_norm": 1.3359375, + "learning_rate": 0.0002576433010193691, + "loss": 4.7278, + "mean_token_accuracy": 0.19881056994199753, + "num_tokens": 12533678.0, + "step": 5675 + }, + { + "entropy": 5.355673885345459, + "epoch": 5.726172465960666, + "grad_norm": 1.2265625, + "learning_rate": 0.000257247844441276, + "loss": 4.8625, + "mean_token_accuracy": 0.20028068572282792, + "num_tokens": 12545519.0, + "step": 5680 + }, + { + "entropy": 5.392779731750489, + "epoch": 5.731215330307615, + "grad_norm": 1.2421875, + "learning_rate": 0.00025685244303729187, + "loss": 4.7666, + "mean_token_accuracy": 0.20816505402326585, + "num_tokens": 12556960.0, + "step": 5685 + }, + { + "entropy": 5.359384536743164, + "epoch": 5.736258194654564, + "grad_norm": 1.265625, + "learning_rate": 0.0002564570980363334, + "loss": 4.7361, + "mean_token_accuracy": 0.20638254135847092, + "num_tokens": 12567085.0, + "step": 5690 + }, + { + "entropy": 5.3717506408691404, + "epoch": 5.741301059001513, + "grad_norm": 1.3671875, + "learning_rate": 0.00025606181066714195, + "loss": 4.7859, + "mean_token_accuracy": 0.19550453275442123, + "num_tokens": 12576382.0, + "step": 5695 + }, + { + "entropy": 5.380795001983643, + "epoch": 5.746343923348462, + "grad_norm": 1.28125, + "learning_rate": 0.0002556665821582798, + "loss": 4.804, + "mean_token_accuracy": 0.2034294456243515, + "num_tokens": 12587332.0, + "step": 5700 + }, + { + "entropy": 5.329462766647339, + "epoch": 5.751386787695411, + "grad_norm": 1.234375, + "learning_rate": 0.0002552714137381264, + "loss": 4.775, + "mean_token_accuracy": 0.20877379626035691, + "num_tokens": 12597816.0, + "step": 5705 + }, + { + "entropy": 5.419559144973755, + "epoch": 5.75642965204236, + "grad_norm": 1.203125, + "learning_rate": 0.0002548763066348741, + "loss": 4.8104, + "mean_token_accuracy": 0.2014116421341896, + "num_tokens": 12609463.0, + "step": 5710 + }, + { + "entropy": 5.347645282745361, + "epoch": 5.7614725163893095, + "grad_norm": 1.265625, + "learning_rate": 0.0002544812620765251, + "loss": 4.8199, + "mean_token_accuracy": 0.20352404415607453, + "num_tokens": 12621551.0, + "step": 5715 + }, + { + "entropy": 5.40521354675293, + "epoch": 5.766515380736259, + "grad_norm": 1.3671875, + "learning_rate": 0.0002540862812908868, + "loss": 4.7497, + "mean_token_accuracy": 0.2069175735116005, + "num_tokens": 12632246.0, + "step": 5720 + }, + { + "entropy": 5.376331758499146, + "epoch": 5.771558245083208, + "grad_norm": 1.265625, + "learning_rate": 0.0002536913655055687, + "loss": 4.7504, + "mean_token_accuracy": 0.20739430338144302, + "num_tokens": 12642398.0, + "step": 5725 + }, + { + "entropy": 5.343450546264648, + "epoch": 5.776601109430157, + "grad_norm": 1.2890625, + "learning_rate": 0.0002532965159479781, + "loss": 4.7801, + "mean_token_accuracy": 0.20516646802425384, + "num_tokens": 12652454.0, + "step": 5730 + }, + { + "entropy": 5.403167772293091, + "epoch": 5.781643973777105, + "grad_norm": 1.40625, + "learning_rate": 0.0002529017338453167, + "loss": 4.8266, + "mean_token_accuracy": 0.20408095866441728, + "num_tokens": 12663757.0, + "step": 5735 + }, + { + "entropy": 5.44119873046875, + "epoch": 5.786686838124054, + "grad_norm": 1.375, + "learning_rate": 0.0002525070204245761, + "loss": 4.8073, + "mean_token_accuracy": 0.20163584649562835, + "num_tokens": 12674795.0, + "step": 5740 + }, + { + "entropy": 5.388897228240967, + "epoch": 5.791729702471003, + "grad_norm": 1.34375, + "learning_rate": 0.00025211237691253507, + "loss": 4.8593, + "mean_token_accuracy": 0.19761030226945878, + "num_tokens": 12686162.0, + "step": 5745 + }, + { + "entropy": 5.411794424057007, + "epoch": 5.796772566817952, + "grad_norm": 1.3828125, + "learning_rate": 0.00025171780453575447, + "loss": 4.7833, + "mean_token_accuracy": 0.19894900172948837, + "num_tokens": 12696930.0, + "step": 5750 + }, + { + "entropy": 5.430048322677612, + "epoch": 5.8018154311649015, + "grad_norm": 1.265625, + "learning_rate": 0.0002513233045205746, + "loss": 4.8304, + "mean_token_accuracy": 0.20307109504938126, + "num_tokens": 12708083.0, + "step": 5755 + }, + { + "entropy": 5.339283895492554, + "epoch": 5.806858295511851, + "grad_norm": 1.40625, + "learning_rate": 0.0002509288780931102, + "loss": 4.7246, + "mean_token_accuracy": 0.20105741918087006, + "num_tokens": 12718852.0, + "step": 5760 + }, + { + "entropy": 5.389208507537842, + "epoch": 5.8119011598588, + "grad_norm": 1.515625, + "learning_rate": 0.0002505345264792482, + "loss": 4.8418, + "mean_token_accuracy": 0.2007734403014183, + "num_tokens": 12729276.0, + "step": 5765 + }, + { + "entropy": 5.384714031219483, + "epoch": 5.816944024205749, + "grad_norm": 1.2734375, + "learning_rate": 0.00025014025090464205, + "loss": 4.7587, + "mean_token_accuracy": 0.20847140103578568, + "num_tokens": 12739442.0, + "step": 5770 + }, + { + "entropy": 5.395238590240479, + "epoch": 5.821986888552698, + "grad_norm": 1.4296875, + "learning_rate": 0.00024974605259470975, + "loss": 4.8388, + "mean_token_accuracy": 0.20188961178064346, + "num_tokens": 12750315.0, + "step": 5775 + }, + { + "entropy": 5.367918825149536, + "epoch": 5.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.00024935193277462835, + "loss": 4.7595, + "mean_token_accuracy": 0.20250935703516007, + "num_tokens": 12761306.0, + "step": 5780 + }, + { + "entropy": 5.399157953262329, + "epoch": 5.832072617246596, + "grad_norm": 1.3984375, + "learning_rate": 0.0002489578926693317, + "loss": 4.767, + "mean_token_accuracy": 0.20976047068834305, + "num_tokens": 12772182.0, + "step": 5785 + }, + { + "entropy": 5.362395763397217, + "epoch": 5.837115481593545, + "grad_norm": 1.25, + "learning_rate": 0.0002485639335035053, + "loss": 4.7758, + "mean_token_accuracy": 0.2043982192873955, + "num_tokens": 12783455.0, + "step": 5790 + }, + { + "entropy": 5.37901291847229, + "epoch": 5.842158345940494, + "grad_norm": 1.21875, + "learning_rate": 0.00024817005650158345, + "loss": 4.7832, + "mean_token_accuracy": 0.20846178829669954, + "num_tokens": 12794756.0, + "step": 5795 + }, + { + "entropy": 5.333470296859741, + "epoch": 5.8472012102874436, + "grad_norm": 1.203125, + "learning_rate": 0.00024777626288774473, + "loss": 4.7694, + "mean_token_accuracy": 0.20354427844285966, + "num_tokens": 12807748.0, + "step": 5800 + }, + { + "entropy": 5.330673408508301, + "epoch": 5.852244074634393, + "grad_norm": 1.328125, + "learning_rate": 0.0002473825538859091, + "loss": 4.7809, + "mean_token_accuracy": 0.20519086122512817, + "num_tokens": 12818642.0, + "step": 5805 + }, + { + "entropy": 5.362842655181884, + "epoch": 5.857286938981342, + "grad_norm": 1.2734375, + "learning_rate": 0.0002469889307197331, + "loss": 4.7522, + "mean_token_accuracy": 0.2019769474864006, + "num_tokens": 12830873.0, + "step": 5810 + }, + { + "entropy": 5.417681550979614, + "epoch": 5.86232980332829, + "grad_norm": 1.28125, + "learning_rate": 0.0002465953946126065, + "loss": 4.8827, + "mean_token_accuracy": 0.19947465062141417, + "num_tokens": 12842545.0, + "step": 5815 + }, + { + "entropy": 5.452762079238892, + "epoch": 5.867372667675239, + "grad_norm": 1.390625, + "learning_rate": 0.00024620194678764875, + "loss": 4.8285, + "mean_token_accuracy": 0.20198632925748825, + "num_tokens": 12853398.0, + "step": 5820 + }, + { + "entropy": 5.382379150390625, + "epoch": 5.872415532022188, + "grad_norm": 1.2578125, + "learning_rate": 0.0002458085884677046, + "loss": 4.7487, + "mean_token_accuracy": 0.20454103201627732, + "num_tokens": 12865637.0, + "step": 5825 + }, + { + "entropy": 5.35223274230957, + "epoch": 5.877458396369137, + "grad_norm": 1.1875, + "learning_rate": 0.00024541532087534097, + "loss": 4.7892, + "mean_token_accuracy": 0.20246104747056962, + "num_tokens": 12877055.0, + "step": 5830 + }, + { + "entropy": 5.314401578903198, + "epoch": 5.8825012607160865, + "grad_norm": 1.546875, + "learning_rate": 0.0002450221452328424, + "loss": 4.6618, + "mean_token_accuracy": 0.21492190062999725, + "num_tokens": 12887609.0, + "step": 5835 + }, + { + "entropy": 5.378951358795166, + "epoch": 5.887544125063036, + "grad_norm": 1.421875, + "learning_rate": 0.00024462906276220814, + "loss": 4.7694, + "mean_token_accuracy": 0.20678590536117553, + "num_tokens": 12898327.0, + "step": 5840 + }, + { + "entropy": 5.352730464935303, + "epoch": 5.892586989409985, + "grad_norm": 1.265625, + "learning_rate": 0.0002442360746851473, + "loss": 4.8597, + "mean_token_accuracy": 0.19703632742166519, + "num_tokens": 12909837.0, + "step": 5845 + }, + { + "entropy": 5.38573989868164, + "epoch": 5.897629853756934, + "grad_norm": 1.140625, + "learning_rate": 0.00024384318222307605, + "loss": 4.8392, + "mean_token_accuracy": 0.2016778990626335, + "num_tokens": 12921386.0, + "step": 5850 + }, + { + "entropy": 5.345422220230103, + "epoch": 5.902672718103883, + "grad_norm": 1.390625, + "learning_rate": 0.0002434503865971131, + "loss": 4.7784, + "mean_token_accuracy": 0.21095688492059708, + "num_tokens": 12932099.0, + "step": 5855 + }, + { + "entropy": 5.382601737976074, + "epoch": 5.907715582450832, + "grad_norm": 1.203125, + "learning_rate": 0.0002430576890280765, + "loss": 4.8036, + "mean_token_accuracy": 0.20520464032888414, + "num_tokens": 12944151.0, + "step": 5860 + }, + { + "entropy": 5.406586980819702, + "epoch": 5.912758446797781, + "grad_norm": 1.2265625, + "learning_rate": 0.00024266509073647913, + "loss": 4.8275, + "mean_token_accuracy": 0.2021748811006546, + "num_tokens": 12956399.0, + "step": 5865 + }, + { + "entropy": 5.408793163299561, + "epoch": 5.91780131114473, + "grad_norm": 1.171875, + "learning_rate": 0.00024227259294252578, + "loss": 4.8454, + "mean_token_accuracy": 0.2002648815512657, + "num_tokens": 12968332.0, + "step": 5870 + }, + { + "entropy": 5.366849565505982, + "epoch": 5.922844175491679, + "grad_norm": 1.203125, + "learning_rate": 0.0002418801968661084, + "loss": 4.7667, + "mean_token_accuracy": 0.20432819426059723, + "num_tokens": 12979647.0, + "step": 5875 + }, + { + "entropy": 5.388034963607788, + "epoch": 5.9278870398386285, + "grad_norm": 1.1015625, + "learning_rate": 0.00024148790372680324, + "loss": 4.8368, + "mean_token_accuracy": 0.1974472373723984, + "num_tokens": 12992115.0, + "step": 5880 + }, + { + "entropy": 5.358849620819091, + "epoch": 5.932929904185578, + "grad_norm": 1.3046875, + "learning_rate": 0.00024109571474386631, + "loss": 4.6664, + "mean_token_accuracy": 0.21497285068035127, + "num_tokens": 13002611.0, + "step": 5885 + }, + { + "entropy": 5.371519708633423, + "epoch": 5.937972768532527, + "grad_norm": 1.421875, + "learning_rate": 0.00024070363113623018, + "loss": 4.7082, + "mean_token_accuracy": 0.21265474408864976, + "num_tokens": 13013510.0, + "step": 5890 + }, + { + "entropy": 5.40354437828064, + "epoch": 5.943015632879476, + "grad_norm": 1.3359375, + "learning_rate": 0.00024031165412249938, + "loss": 4.8571, + "mean_token_accuracy": 0.19604741930961608, + "num_tokens": 13025962.0, + "step": 5895 + }, + { + "entropy": 5.315206623077392, + "epoch": 5.948058497226425, + "grad_norm": 1.421875, + "learning_rate": 0.000239919784920948, + "loss": 4.7802, + "mean_token_accuracy": 0.2017505183815956, + "num_tokens": 13036751.0, + "step": 5900 + }, + { + "entropy": 5.318692922592163, + "epoch": 5.953101361573374, + "grad_norm": 1.2421875, + "learning_rate": 0.00023952802474951418, + "loss": 4.7549, + "mean_token_accuracy": 0.20791540592908858, + "num_tokens": 13048302.0, + "step": 5905 + }, + { + "entropy": 5.40013747215271, + "epoch": 5.958144225920323, + "grad_norm": 1.140625, + "learning_rate": 0.00023913637482579774, + "loss": 4.8031, + "mean_token_accuracy": 0.2007676437497139, + "num_tokens": 13059879.0, + "step": 5910 + }, + { + "entropy": 5.39221043586731, + "epoch": 5.9631870902672715, + "grad_norm": 1.34375, + "learning_rate": 0.00023874483636705563, + "loss": 4.7488, + "mean_token_accuracy": 0.20411685705184937, + "num_tokens": 13071540.0, + "step": 5915 + }, + { + "entropy": 5.358206176757813, + "epoch": 5.968229954614221, + "grad_norm": 1.3046875, + "learning_rate": 0.00023835341059019838, + "loss": 4.7673, + "mean_token_accuracy": 0.2024170696735382, + "num_tokens": 13082981.0, + "step": 5920 + }, + { + "entropy": 5.371860218048096, + "epoch": 5.97327281896117, + "grad_norm": 1.25, + "learning_rate": 0.00023796209871178642, + "loss": 4.7424, + "mean_token_accuracy": 0.20808600932359694, + "num_tokens": 13092669.0, + "step": 5925 + }, + { + "entropy": 5.33985652923584, + "epoch": 5.978315683308119, + "grad_norm": 1.3671875, + "learning_rate": 0.00023757090194802605, + "loss": 4.807, + "mean_token_accuracy": 0.20043543875217437, + "num_tokens": 13104081.0, + "step": 5930 + }, + { + "entropy": 5.336535930633545, + "epoch": 5.983358547655068, + "grad_norm": 1.3984375, + "learning_rate": 0.00023717982151476592, + "loss": 4.8211, + "mean_token_accuracy": 0.20272261053323745, + "num_tokens": 13115068.0, + "step": 5935 + }, + { + "entropy": 5.359402418136597, + "epoch": 5.988401412002017, + "grad_norm": 1.375, + "learning_rate": 0.00023678885862749282, + "loss": 4.7476, + "mean_token_accuracy": 0.2031234934926033, + "num_tokens": 13125930.0, + "step": 5940 + }, + { + "entropy": 5.453249120712281, + "epoch": 5.993444276348966, + "grad_norm": 1.1796875, + "learning_rate": 0.00023639801450132863, + "loss": 4.8517, + "mean_token_accuracy": 0.2007930040359497, + "num_tokens": 13137487.0, + "step": 5945 + }, + { + "entropy": 5.37138524055481, + "epoch": 5.998487140695915, + "grad_norm": 1.4765625, + "learning_rate": 0.00023600729035102585, + "loss": 4.6566, + "mean_token_accuracy": 0.21346824765205383, + "num_tokens": 13147542.0, + "step": 5950 + }, + { + "entropy": 5.359211126963298, + "epoch": 6.0030257186081695, + "grad_norm": 1.296875, + "learning_rate": 0.0002356166873909642, + "loss": 4.6838, + "mean_token_accuracy": 0.2145542949438095, + "num_tokens": 13156473.0, + "step": 5955 + }, + { + "entropy": 5.336161470413208, + "epoch": 6.008068582955119, + "grad_norm": 1.3125, + "learning_rate": 0.00023522620683514645, + "loss": 4.6062, + "mean_token_accuracy": 0.2217238202691078, + "num_tokens": 13167225.0, + "step": 5960 + }, + { + "entropy": 5.365195655822754, + "epoch": 6.013111447302068, + "grad_norm": 1.5703125, + "learning_rate": 0.00023483584989719553, + "loss": 4.5606, + "mean_token_accuracy": 0.220480115711689, + "num_tokens": 13178034.0, + "step": 5965 + }, + { + "entropy": 5.463253307342529, + "epoch": 6.018154311649017, + "grad_norm": 1.28125, + "learning_rate": 0.00023444561779034957, + "loss": 4.7097, + "mean_token_accuracy": 0.21369642317295073, + "num_tokens": 13189610.0, + "step": 5970 + }, + { + "entropy": 5.399715805053711, + "epoch": 6.023197175995966, + "grad_norm": 1.1328125, + "learning_rate": 0.00023405551172745904, + "loss": 4.6941, + "mean_token_accuracy": 0.21796804219484328, + "num_tokens": 13201392.0, + "step": 5975 + }, + { + "entropy": 5.376670169830322, + "epoch": 6.028240040342915, + "grad_norm": 1.21875, + "learning_rate": 0.00023366553292098247, + "loss": 4.6309, + "mean_token_accuracy": 0.22139676958322524, + "num_tokens": 13213125.0, + "step": 5980 + }, + { + "entropy": 5.390435981750488, + "epoch": 6.033282904689864, + "grad_norm": 1.203125, + "learning_rate": 0.0002332756825829832, + "loss": 4.6585, + "mean_token_accuracy": 0.21771981567144394, + "num_tokens": 13224287.0, + "step": 5985 + }, + { + "entropy": 5.368021631240845, + "epoch": 6.038325769036813, + "grad_norm": 1.4140625, + "learning_rate": 0.0002328859619251249, + "loss": 4.6452, + "mean_token_accuracy": 0.2108944609761238, + "num_tokens": 13234035.0, + "step": 5990 + }, + { + "entropy": 5.319368362426758, + "epoch": 6.043368633383762, + "grad_norm": 1.1953125, + "learning_rate": 0.00023249637215866847, + "loss": 4.5883, + "mean_token_accuracy": 0.22029249966144562, + "num_tokens": 13245029.0, + "step": 5995 + }, + { + "entropy": 5.3847626686096195, + "epoch": 6.048411497730711, + "grad_norm": 1.1796875, + "learning_rate": 0.0002321069144944678, + "loss": 4.7143, + "mean_token_accuracy": 0.2131657525897026, + "num_tokens": 13256844.0, + "step": 6000 + }, + { + "epoch": 6.048411497730711, + "eval_entropy": 5.204124319644374, + "eval_loss": 5.655833721160889, + "eval_mean_token_accuracy": 0.15606892571497813, + "eval_num_tokens": 13256844.0, + "eval_runtime": 2.0456, + "eval_samples_per_second": 1534.049, + "eval_steps_per_second": 192.123, + "step": 6000 + }, + { + "entropy": 5.3044281005859375, + "epoch": 6.05345436207766, + "grad_norm": 1.3125, + "learning_rate": 0.00023171759014296639, + "loss": 4.5661, + "mean_token_accuracy": 0.21968138217926025, + "num_tokens": 13269033.0, + "step": 6005 + }, + { + "entropy": 5.373870420455932, + "epoch": 6.058497226424609, + "grad_norm": 1.265625, + "learning_rate": 0.00023132840031419316, + "loss": 4.6246, + "mean_token_accuracy": 0.22420395761728287, + "num_tokens": 13280554.0, + "step": 6010 + }, + { + "entropy": 5.3554305076599125, + "epoch": 6.063540090771558, + "grad_norm": 1.3515625, + "learning_rate": 0.00023093934621775926, + "loss": 4.6383, + "mean_token_accuracy": 0.21762033998966218, + "num_tokens": 13292542.0, + "step": 6015 + }, + { + "entropy": 5.313539266586304, + "epoch": 6.068582955118507, + "grad_norm": 1.359375, + "learning_rate": 0.00023055042906285368, + "loss": 4.5749, + "mean_token_accuracy": 0.2176797240972519, + "num_tokens": 13304254.0, + "step": 6020 + }, + { + "entropy": 5.43445520401001, + "epoch": 6.073625819465456, + "grad_norm": 1.484375, + "learning_rate": 0.0002301616500582398, + "loss": 4.7142, + "mean_token_accuracy": 0.2070741280913353, + "num_tokens": 13313243.0, + "step": 6025 + }, + { + "entropy": 5.311390542984009, + "epoch": 6.078668683812405, + "grad_norm": 1.265625, + "learning_rate": 0.00022977301041225207, + "loss": 4.6181, + "mean_token_accuracy": 0.2188905104994774, + "num_tokens": 13324519.0, + "step": 6030 + }, + { + "entropy": 5.357176828384399, + "epoch": 6.083711548159354, + "grad_norm": 1.4375, + "learning_rate": 0.00022938451133279114, + "loss": 4.6547, + "mean_token_accuracy": 0.21753127127885818, + "num_tokens": 13335734.0, + "step": 6035 + }, + { + "entropy": 5.370665502548218, + "epoch": 6.088754412506304, + "grad_norm": 1.390625, + "learning_rate": 0.00022899615402732133, + "loss": 4.5943, + "mean_token_accuracy": 0.22275642305612564, + "num_tokens": 13347660.0, + "step": 6040 + }, + { + "entropy": 5.350598764419556, + "epoch": 6.093797276853253, + "grad_norm": 1.453125, + "learning_rate": 0.00022860793970286592, + "loss": 4.6277, + "mean_token_accuracy": 0.21988619714975358, + "num_tokens": 13357617.0, + "step": 6045 + }, + { + "entropy": 5.395689201354981, + "epoch": 6.098840141200202, + "grad_norm": 1.328125, + "learning_rate": 0.0002282198695660042, + "loss": 4.5862, + "mean_token_accuracy": 0.2198387399315834, + "num_tokens": 13368768.0, + "step": 6050 + }, + { + "entropy": 5.346694993972778, + "epoch": 6.103883005547151, + "grad_norm": 1.4140625, + "learning_rate": 0.00022783194482286684, + "loss": 4.6453, + "mean_token_accuracy": 0.22039656490087509, + "num_tokens": 13379387.0, + "step": 6055 + }, + { + "entropy": 5.406846761703491, + "epoch": 6.1089258698941, + "grad_norm": 1.390625, + "learning_rate": 0.0002274441666791332, + "loss": 4.7376, + "mean_token_accuracy": 0.21248052269220352, + "num_tokens": 13389672.0, + "step": 6060 + }, + { + "entropy": 5.338963890075684, + "epoch": 6.113968734241049, + "grad_norm": 1.234375, + "learning_rate": 0.00022705653634002648, + "loss": 4.6231, + "mean_token_accuracy": 0.21946075558662415, + "num_tokens": 13401283.0, + "step": 6065 + }, + { + "entropy": 5.415562868118286, + "epoch": 6.119011598587998, + "grad_norm": 1.390625, + "learning_rate": 0.00022666905501031077, + "loss": 4.6379, + "mean_token_accuracy": 0.21679987907409667, + "num_tokens": 13412204.0, + "step": 6070 + }, + { + "entropy": 5.370386219024658, + "epoch": 6.124054462934947, + "grad_norm": 1.5859375, + "learning_rate": 0.0002262817238942869, + "loss": 4.6357, + "mean_token_accuracy": 0.2189243346452713, + "num_tokens": 13421604.0, + "step": 6075 + }, + { + "entropy": 5.350414276123047, + "epoch": 6.1290973272818965, + "grad_norm": 1.3984375, + "learning_rate": 0.0002258945441957892, + "loss": 4.5956, + "mean_token_accuracy": 0.22632325291633607, + "num_tokens": 13433495.0, + "step": 6080 + }, + { + "entropy": 5.244142532348633, + "epoch": 6.134140191628846, + "grad_norm": 1.3515625, + "learning_rate": 0.0002255075171181807, + "loss": 4.5535, + "mean_token_accuracy": 0.22932200133800507, + "num_tokens": 13444238.0, + "step": 6085 + }, + { + "entropy": 5.355984163284302, + "epoch": 6.139183055975794, + "grad_norm": 1.4296875, + "learning_rate": 0.00022512064386435082, + "loss": 4.6282, + "mean_token_accuracy": 0.21517039686441422, + "num_tokens": 13455278.0, + "step": 6090 + }, + { + "entropy": 5.316662979125977, + "epoch": 6.144225920322743, + "grad_norm": 1.5234375, + "learning_rate": 0.0002247339256367103, + "loss": 4.6129, + "mean_token_accuracy": 0.22129908949136734, + "num_tokens": 13465557.0, + "step": 6095 + }, + { + "entropy": 5.310370254516601, + "epoch": 6.149268784669692, + "grad_norm": 1.2890625, + "learning_rate": 0.00022434736363718854, + "loss": 4.6029, + "mean_token_accuracy": 0.21749912351369857, + "num_tokens": 13476016.0, + "step": 6100 + }, + { + "entropy": 5.364461898803711, + "epoch": 6.154311649016641, + "grad_norm": 1.2109375, + "learning_rate": 0.00022396095906722897, + "loss": 4.7031, + "mean_token_accuracy": 0.21485815197229385, + "num_tokens": 13486948.0, + "step": 6105 + }, + { + "entropy": 5.438597822189331, + "epoch": 6.15935451336359, + "grad_norm": 1.1875, + "learning_rate": 0.0002235747131277861, + "loss": 4.7091, + "mean_token_accuracy": 0.21536669433116912, + "num_tokens": 13500019.0, + "step": 6110 + }, + { + "entropy": 5.407887125015259, + "epoch": 6.164397377710539, + "grad_norm": 1.3359375, + "learning_rate": 0.00022318862701932102, + "loss": 4.6515, + "mean_token_accuracy": 0.2189772292971611, + "num_tokens": 13510330.0, + "step": 6115 + }, + { + "entropy": 5.355879449844361, + "epoch": 6.1694402420574885, + "grad_norm": 1.484375, + "learning_rate": 0.00022280270194179836, + "loss": 4.5946, + "mean_token_accuracy": 0.2200791969895363, + "num_tokens": 13519864.0, + "step": 6120 + }, + { + "entropy": 5.361207008361816, + "epoch": 6.174483106404438, + "grad_norm": 1.3046875, + "learning_rate": 0.00022241693909468214, + "loss": 4.6766, + "mean_token_accuracy": 0.2130996748805046, + "num_tokens": 13531244.0, + "step": 6125 + }, + { + "entropy": 5.339847183227539, + "epoch": 6.179525970751387, + "grad_norm": 1.4765625, + "learning_rate": 0.00022203133967693217, + "loss": 4.7151, + "mean_token_accuracy": 0.20595722049474716, + "num_tokens": 13542947.0, + "step": 6130 + }, + { + "entropy": 5.30449914932251, + "epoch": 6.184568835098336, + "grad_norm": 1.359375, + "learning_rate": 0.00022164590488700042, + "loss": 4.5985, + "mean_token_accuracy": 0.21331556439399718, + "num_tokens": 13553218.0, + "step": 6135 + }, + { + "entropy": 5.317038726806641, + "epoch": 6.189611699445285, + "grad_norm": 1.453125, + "learning_rate": 0.00022126063592282696, + "loss": 4.5688, + "mean_token_accuracy": 0.22169348001480102, + "num_tokens": 13562894.0, + "step": 6140 + }, + { + "entropy": 5.316820907592773, + "epoch": 6.194654563792234, + "grad_norm": 1.3984375, + "learning_rate": 0.00022087553398183684, + "loss": 4.6617, + "mean_token_accuracy": 0.21474820077419282, + "num_tokens": 13574135.0, + "step": 6145 + }, + { + "entropy": 5.402669668197632, + "epoch": 6.199697428139183, + "grad_norm": 1.328125, + "learning_rate": 0.00022049060026093555, + "loss": 4.6639, + "mean_token_accuracy": 0.21896152347326278, + "num_tokens": 13585070.0, + "step": 6150 + }, + { + "entropy": 5.411625623703003, + "epoch": 6.204740292486132, + "grad_norm": 1.2265625, + "learning_rate": 0.00022010583595650617, + "loss": 4.6703, + "mean_token_accuracy": 0.21271731555461884, + "num_tokens": 13596732.0, + "step": 6155 + }, + { + "entropy": 5.348358297348023, + "epoch": 6.2097831568330815, + "grad_norm": 1.65625, + "learning_rate": 0.00021972124226440483, + "loss": 4.537, + "mean_token_accuracy": 0.22894130051136016, + "num_tokens": 13607080.0, + "step": 6160 + }, + { + "entropy": 5.266700696945191, + "epoch": 6.214826021180031, + "grad_norm": 1.4375, + "learning_rate": 0.00021933682037995772, + "loss": 4.547, + "mean_token_accuracy": 0.22299013733863832, + "num_tokens": 13617666.0, + "step": 6165 + }, + { + "entropy": 5.3108926773071286, + "epoch": 6.21986888552698, + "grad_norm": 1.3671875, + "learning_rate": 0.00021895257149795694, + "loss": 4.6349, + "mean_token_accuracy": 0.21472382843494414, + "num_tokens": 13628772.0, + "step": 6170 + }, + { + "entropy": 5.349781131744384, + "epoch": 6.224911749873929, + "grad_norm": 1.2890625, + "learning_rate": 0.0002185684968126569, + "loss": 4.6771, + "mean_token_accuracy": 0.21623874008655547, + "num_tokens": 13638895.0, + "step": 6175 + }, + { + "entropy": 5.330606746673584, + "epoch": 6.229954614220877, + "grad_norm": 1.3359375, + "learning_rate": 0.0002181845975177703, + "loss": 4.638, + "mean_token_accuracy": 0.23032449632883073, + "num_tokens": 13649485.0, + "step": 6180 + }, + { + "entropy": 5.3922313213348385, + "epoch": 6.234997478567826, + "grad_norm": 1.359375, + "learning_rate": 0.00021780087480646548, + "loss": 4.7619, + "mean_token_accuracy": 0.20294700264930726, + "num_tokens": 13661645.0, + "step": 6185 + }, + { + "entropy": 5.394072961807251, + "epoch": 6.240040342914775, + "grad_norm": 1.3515625, + "learning_rate": 0.0002174173298713611, + "loss": 4.6889, + "mean_token_accuracy": 0.22105761617422104, + "num_tokens": 13672835.0, + "step": 6190 + }, + { + "entropy": 5.372888088226318, + "epoch": 6.245083207261724, + "grad_norm": 1.2578125, + "learning_rate": 0.00021703396390452385, + "loss": 4.6908, + "mean_token_accuracy": 0.2088285729289055, + "num_tokens": 13684456.0, + "step": 6195 + }, + { + "entropy": 5.354840993881226, + "epoch": 6.2501260716086735, + "grad_norm": 1.3203125, + "learning_rate": 0.0002166507780974639, + "loss": 4.6093, + "mean_token_accuracy": 0.22428787052631377, + "num_tokens": 13694919.0, + "step": 6200 + }, + { + "entropy": 5.369553947448731, + "epoch": 6.255168935955623, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162677736411317, + "loss": 4.6122, + "mean_token_accuracy": 0.22572187781333924, + "num_tokens": 13704872.0, + "step": 6205 + }, + { + "entropy": 5.3212902545928955, + "epoch": 6.260211800302572, + "grad_norm": 1.25, + "learning_rate": 0.00021588495172591377, + "loss": 4.6228, + "mean_token_accuracy": 0.22438545972108842, + "num_tokens": 13715937.0, + "step": 6210 + }, + { + "entropy": 5.334011268615723, + "epoch": 6.265254664649521, + "grad_norm": 1.2890625, + "learning_rate": 0.00021550231354162957, + "loss": 4.584, + "mean_token_accuracy": 0.2193437248468399, + "num_tokens": 13726785.0, + "step": 6215 + }, + { + "entropy": 5.341703176498413, + "epoch": 6.27029752899647, + "grad_norm": 1.203125, + "learning_rate": 0.00021511986027752733, + "loss": 4.6651, + "mean_token_accuracy": 0.21637360155582427, + "num_tokens": 13738302.0, + "step": 6220 + }, + { + "entropy": 5.392094945907592, + "epoch": 6.275340393343419, + "grad_norm": 1.4765625, + "learning_rate": 0.0002147375931222807, + "loss": 4.6329, + "mean_token_accuracy": 0.21986114233732224, + "num_tokens": 13748602.0, + "step": 6225 + }, + { + "entropy": 5.350520086288452, + "epoch": 6.280383257690368, + "grad_norm": 1.5234375, + "learning_rate": 0.00021435551326398478, + "loss": 4.6456, + "mean_token_accuracy": 0.21305105686187745, + "num_tokens": 13758861.0, + "step": 6230 + }, + { + "entropy": 5.300534296035766, + "epoch": 6.285426122037317, + "grad_norm": 1.296875, + "learning_rate": 0.00021397362189015263, + "loss": 4.677, + "mean_token_accuracy": 0.21868122965097428, + "num_tokens": 13769402.0, + "step": 6235 + }, + { + "entropy": 5.353175067901612, + "epoch": 6.290468986384266, + "grad_norm": 1.2890625, + "learning_rate": 0.00021359192018771127, + "loss": 4.6571, + "mean_token_accuracy": 0.21360769867897034, + "num_tokens": 13779899.0, + "step": 6240 + }, + { + "entropy": 5.359490823745728, + "epoch": 6.2955118507312156, + "grad_norm": 1.3359375, + "learning_rate": 0.00021321040934299852, + "loss": 4.6481, + "mean_token_accuracy": 0.21949803233146667, + "num_tokens": 13790417.0, + "step": 6245 + }, + { + "entropy": 5.351253271102905, + "epoch": 6.300554715078165, + "grad_norm": 1.25, + "learning_rate": 0.00021282909054175903, + "loss": 4.7298, + "mean_token_accuracy": 0.21616025418043136, + "num_tokens": 13801699.0, + "step": 6250 + }, + { + "entropy": 5.4068121910095215, + "epoch": 6.305597579425114, + "grad_norm": 1.328125, + "learning_rate": 0.0002124479649691402, + "loss": 4.7392, + "mean_token_accuracy": 0.20651510655879973, + "num_tokens": 13813364.0, + "step": 6255 + }, + { + "entropy": 5.340871429443359, + "epoch": 6.310640443772063, + "grad_norm": 1.1953125, + "learning_rate": 0.00021206703380968923, + "loss": 4.6, + "mean_token_accuracy": 0.2187330424785614, + "num_tokens": 13824506.0, + "step": 6260 + }, + { + "entropy": 5.336052083969117, + "epoch": 6.315683308119011, + "grad_norm": 1.1015625, + "learning_rate": 0.00021168629824734887, + "loss": 4.6607, + "mean_token_accuracy": 0.21441861540079116, + "num_tokens": 13836659.0, + "step": 6265 + }, + { + "entropy": 5.348361825942993, + "epoch": 6.32072617246596, + "grad_norm": 1.296875, + "learning_rate": 0.00021130575946545416, + "loss": 4.624, + "mean_token_accuracy": 0.2183840185403824, + "num_tokens": 13848710.0, + "step": 6270 + }, + { + "entropy": 5.3680816173553465, + "epoch": 6.325769036812909, + "grad_norm": 1.3203125, + "learning_rate": 0.00021092541864672825, + "loss": 4.6752, + "mean_token_accuracy": 0.21302510052919388, + "num_tokens": 13860848.0, + "step": 6275 + }, + { + "entropy": 5.298371648788452, + "epoch": 6.3308119011598585, + "grad_norm": 1.3671875, + "learning_rate": 0.00021054527697327935, + "loss": 4.6038, + "mean_token_accuracy": 0.2222062274813652, + "num_tokens": 13871765.0, + "step": 6280 + }, + { + "entropy": 5.34125771522522, + "epoch": 6.335854765506808, + "grad_norm": 1.25, + "learning_rate": 0.00021016533562659634, + "loss": 4.6614, + "mean_token_accuracy": 0.2144114688038826, + "num_tokens": 13883140.0, + "step": 6285 + }, + { + "entropy": 5.373456430435181, + "epoch": 6.340897629853757, + "grad_norm": 1.3671875, + "learning_rate": 0.00020978559578754586, + "loss": 4.5851, + "mean_token_accuracy": 0.21404719054698945, + "num_tokens": 13894054.0, + "step": 6290 + }, + { + "entropy": 5.344057226181031, + "epoch": 6.345940494200706, + "grad_norm": 1.234375, + "learning_rate": 0.000209406058636368, + "loss": 4.6554, + "mean_token_accuracy": 0.22404983639717102, + "num_tokens": 13906268.0, + "step": 6295 + }, + { + "entropy": 5.376866865158081, + "epoch": 6.350983358547655, + "grad_norm": 1.3203125, + "learning_rate": 0.00020902672535267315, + "loss": 4.6842, + "mean_token_accuracy": 0.21459552645683289, + "num_tokens": 13918450.0, + "step": 6300 + }, + { + "entropy": 5.4287337303161625, + "epoch": 6.356026222894604, + "grad_norm": 1.4296875, + "learning_rate": 0.00020864759711543762, + "loss": 4.7571, + "mean_token_accuracy": 0.20267379730939866, + "num_tokens": 13930725.0, + "step": 6305 + }, + { + "entropy": 5.338146209716797, + "epoch": 6.361069087241553, + "grad_norm": 1.421875, + "learning_rate": 0.0002082686751030009, + "loss": 4.6797, + "mean_token_accuracy": 0.21307668685913086, + "num_tokens": 13942566.0, + "step": 6310 + }, + { + "entropy": 5.3399018287658695, + "epoch": 6.366111951588502, + "grad_norm": 1.453125, + "learning_rate": 0.0002078899604930613, + "loss": 4.6377, + "mean_token_accuracy": 0.2226533278822899, + "num_tokens": 13952909.0, + "step": 6315 + }, + { + "entropy": 5.390378141403199, + "epoch": 6.371154815935451, + "grad_norm": 1.328125, + "learning_rate": 0.00020751145446267267, + "loss": 4.6753, + "mean_token_accuracy": 0.20825050324201583, + "num_tokens": 13963726.0, + "step": 6320 + }, + { + "entropy": 5.388576364517212, + "epoch": 6.3761976802824005, + "grad_norm": 1.2578125, + "learning_rate": 0.0002071331581882403, + "loss": 4.6808, + "mean_token_accuracy": 0.2166823759675026, + "num_tokens": 13974795.0, + "step": 6325 + }, + { + "entropy": 5.278568983078003, + "epoch": 6.38124054462935, + "grad_norm": 1.3125, + "learning_rate": 0.00020675507284551793, + "loss": 4.5754, + "mean_token_accuracy": 0.22193012982606888, + "num_tokens": 13985801.0, + "step": 6330 + }, + { + "entropy": 5.304547882080078, + "epoch": 6.386283408976299, + "grad_norm": 1.359375, + "learning_rate": 0.00020637719960960333, + "loss": 4.5997, + "mean_token_accuracy": 0.22491419911384583, + "num_tokens": 13996559.0, + "step": 6335 + }, + { + "entropy": 5.331219720840454, + "epoch": 6.391326273323248, + "grad_norm": 1.4453125, + "learning_rate": 0.00020599953965493535, + "loss": 4.6439, + "mean_token_accuracy": 0.22134149819612503, + "num_tokens": 14006937.0, + "step": 6340 + }, + { + "entropy": 5.240631008148194, + "epoch": 6.396369137670197, + "grad_norm": 1.3671875, + "learning_rate": 0.00020562209415528982, + "loss": 4.5258, + "mean_token_accuracy": 0.2256957098841667, + "num_tokens": 14018304.0, + "step": 6345 + }, + { + "entropy": 5.362255668640136, + "epoch": 6.401412002017146, + "grad_norm": 1.3125, + "learning_rate": 0.00020524486428377605, + "loss": 4.6826, + "mean_token_accuracy": 0.2162995755672455, + "num_tokens": 14030515.0, + "step": 6350 + }, + { + "entropy": 5.346472644805909, + "epoch": 6.406454866364095, + "grad_norm": 1.4375, + "learning_rate": 0.0002048678512128332, + "loss": 4.6712, + "mean_token_accuracy": 0.2177198573946953, + "num_tokens": 14043174.0, + "step": 6355 + }, + { + "entropy": 5.35426893234253, + "epoch": 6.411497730711044, + "grad_norm": 1.46875, + "learning_rate": 0.00020449105611422658, + "loss": 4.5765, + "mean_token_accuracy": 0.21691970378160477, + "num_tokens": 14053450.0, + "step": 6360 + }, + { + "entropy": 5.310212850570679, + "epoch": 6.416540595057993, + "grad_norm": 1.4453125, + "learning_rate": 0.00020411448015904415, + "loss": 4.6163, + "mean_token_accuracy": 0.21984127759933472, + "num_tokens": 14063672.0, + "step": 6365 + }, + { + "entropy": 5.348818016052246, + "epoch": 6.421583459404942, + "grad_norm": 1.34375, + "learning_rate": 0.00020373812451769248, + "loss": 4.6434, + "mean_token_accuracy": 0.22358427196741104, + "num_tokens": 14074372.0, + "step": 6370 + }, + { + "entropy": 5.390470409393311, + "epoch": 6.426626323751891, + "grad_norm": 1.3515625, + "learning_rate": 0.00020336199035989372, + "loss": 4.6654, + "mean_token_accuracy": 0.21343498528003693, + "num_tokens": 14086006.0, + "step": 6375 + }, + { + "entropy": 5.342592477798462, + "epoch": 6.43166918809884, + "grad_norm": 1.453125, + "learning_rate": 0.0002029860788546814, + "loss": 4.6187, + "mean_token_accuracy": 0.2203216001391411, + "num_tokens": 14096694.0, + "step": 6380 + }, + { + "entropy": 5.367334270477295, + "epoch": 6.436712052445789, + "grad_norm": 1.375, + "learning_rate": 0.00020261039117039725, + "loss": 4.6466, + "mean_token_accuracy": 0.21076540052890777, + "num_tokens": 14106734.0, + "step": 6385 + }, + { + "entropy": 5.361822891235351, + "epoch": 6.441754916792738, + "grad_norm": 1.4765625, + "learning_rate": 0.00020223492847468722, + "loss": 4.6802, + "mean_token_accuracy": 0.21798644959926605, + "num_tokens": 14117488.0, + "step": 6390 + }, + { + "entropy": 5.377425670623779, + "epoch": 6.446797781139687, + "grad_norm": 1.5, + "learning_rate": 0.0002018596919344981, + "loss": 4.6585, + "mean_token_accuracy": 0.22138290703296662, + "num_tokens": 14127661.0, + "step": 6395 + }, + { + "entropy": 5.357834720611573, + "epoch": 6.451840645486636, + "grad_norm": 1.2890625, + "learning_rate": 0.00020148468271607352, + "loss": 4.6532, + "mean_token_accuracy": 0.2156420975923538, + "num_tokens": 14140062.0, + "step": 6400 + }, + { + "entropy": 5.3001574039459225, + "epoch": 6.4568835098335855, + "grad_norm": 1.203125, + "learning_rate": 0.00020110990198495105, + "loss": 4.6498, + "mean_token_accuracy": 0.20930435806512832, + "num_tokens": 14151694.0, + "step": 6405 + }, + { + "entropy": 5.346147918701172, + "epoch": 6.461926374180535, + "grad_norm": 1.390625, + "learning_rate": 0.0002007353509059575, + "loss": 4.766, + "mean_token_accuracy": 0.20646919906139374, + "num_tokens": 14162783.0, + "step": 6410 + }, + { + "entropy": 5.345625734329223, + "epoch": 6.466969238527484, + "grad_norm": 1.453125, + "learning_rate": 0.00020036103064320664, + "loss": 4.6514, + "mean_token_accuracy": 0.2207430496811867, + "num_tokens": 14173630.0, + "step": 6415 + }, + { + "entropy": 5.373542451858521, + "epoch": 6.472012102874433, + "grad_norm": 1.3046875, + "learning_rate": 0.00019998694236009423, + "loss": 4.6738, + "mean_token_accuracy": 0.2150516092777252, + "num_tokens": 14185172.0, + "step": 6420 + }, + { + "entropy": 5.416106700897217, + "epoch": 6.477054967221382, + "grad_norm": 1.40625, + "learning_rate": 0.0001996130872192955, + "loss": 4.7052, + "mean_token_accuracy": 0.21251223981380463, + "num_tokens": 14197059.0, + "step": 6425 + }, + { + "entropy": 5.371108531951904, + "epoch": 6.482097831568331, + "grad_norm": 1.4921875, + "learning_rate": 0.00019923946638276052, + "loss": 4.6129, + "mean_token_accuracy": 0.21653929054737092, + "num_tokens": 14206589.0, + "step": 6430 + }, + { + "entropy": 5.263812732696533, + "epoch": 6.48714069591528, + "grad_norm": 1.3046875, + "learning_rate": 0.0001988660810117118, + "loss": 4.6039, + "mean_token_accuracy": 0.2187914878129959, + "num_tokens": 14218225.0, + "step": 6435 + }, + { + "entropy": 5.336437034606933, + "epoch": 6.492183560262229, + "grad_norm": 1.3359375, + "learning_rate": 0.0001984929322666395, + "loss": 4.6692, + "mean_token_accuracy": 0.2155090868473053, + "num_tokens": 14229758.0, + "step": 6440 + }, + { + "entropy": 5.284608507156372, + "epoch": 6.4972264246091775, + "grad_norm": 1.375, + "learning_rate": 0.00019812002130729857, + "loss": 4.537, + "mean_token_accuracy": 0.22633844316005708, + "num_tokens": 14240549.0, + "step": 6445 + }, + { + "entropy": 5.347523021697998, + "epoch": 6.502269288956127, + "grad_norm": 1.4140625, + "learning_rate": 0.00019774734929270483, + "loss": 4.5896, + "mean_token_accuracy": 0.21854414492845536, + "num_tokens": 14250542.0, + "step": 6450 + }, + { + "entropy": 5.252294301986694, + "epoch": 6.507312153303076, + "grad_norm": 1.4765625, + "learning_rate": 0.00019737491738113167, + "loss": 4.5954, + "mean_token_accuracy": 0.2224308580160141, + "num_tokens": 14260354.0, + "step": 6455 + }, + { + "entropy": 5.374626922607422, + "epoch": 6.512355017650025, + "grad_norm": 1.4375, + "learning_rate": 0.00019700272673010588, + "loss": 4.7269, + "mean_token_accuracy": 0.21083271354436875, + "num_tokens": 14271929.0, + "step": 6460 + }, + { + "entropy": 5.343776369094849, + "epoch": 6.517397881996974, + "grad_norm": 1.2109375, + "learning_rate": 0.0001966307784964046, + "loss": 4.6224, + "mean_token_accuracy": 0.2144081175327301, + "num_tokens": 14283249.0, + "step": 6465 + }, + { + "entropy": 5.373244571685791, + "epoch": 6.522440746343923, + "grad_norm": 1.265625, + "learning_rate": 0.00019625907383605162, + "loss": 4.714, + "mean_token_accuracy": 0.21002006083726882, + "num_tokens": 14293633.0, + "step": 6470 + }, + { + "entropy": 5.422092294692993, + "epoch": 6.527483610690872, + "grad_norm": 1.5234375, + "learning_rate": 0.00019588761390431354, + "loss": 4.7038, + "mean_token_accuracy": 0.21525713056325912, + "num_tokens": 14304219.0, + "step": 6475 + }, + { + "entropy": 5.313680267333984, + "epoch": 6.532526475037821, + "grad_norm": 1.3125, + "learning_rate": 0.00019551639985569642, + "loss": 4.6033, + "mean_token_accuracy": 0.22535481452941894, + "num_tokens": 14315355.0, + "step": 6480 + }, + { + "entropy": 5.42285795211792, + "epoch": 6.5375693393847705, + "grad_norm": 1.265625, + "learning_rate": 0.00019514543284394203, + "loss": 4.7739, + "mean_token_accuracy": 0.20810849070549012, + "num_tokens": 14327007.0, + "step": 6485 + }, + { + "entropy": 5.29453330039978, + "epoch": 6.54261220373172, + "grad_norm": 1.3984375, + "learning_rate": 0.00019477471402202452, + "loss": 4.6022, + "mean_token_accuracy": 0.21870456039905548, + "num_tokens": 14337981.0, + "step": 6490 + }, + { + "entropy": 5.371618175506592, + "epoch": 6.547655068078669, + "grad_norm": 1.234375, + "learning_rate": 0.00019440424454214645, + "loss": 4.7186, + "mean_token_accuracy": 0.2161049574613571, + "num_tokens": 14350727.0, + "step": 6495 + }, + { + "entropy": 5.449799823760986, + "epoch": 6.552697932425618, + "grad_norm": 1.3125, + "learning_rate": 0.00019403402555573547, + "loss": 4.783, + "mean_token_accuracy": 0.20688835978507997, + "num_tokens": 14362898.0, + "step": 6500 + }, + { + "entropy": 5.393431043624878, + "epoch": 6.557740796772567, + "grad_norm": 1.53125, + "learning_rate": 0.00019366405821344074, + "loss": 4.6567, + "mean_token_accuracy": 0.21516457498073577, + "num_tokens": 14373780.0, + "step": 6505 + }, + { + "entropy": 5.304720497131347, + "epoch": 6.562783661119516, + "grad_norm": 1.203125, + "learning_rate": 0.0001932943436651295, + "loss": 4.6348, + "mean_token_accuracy": 0.21173483729362488, + "num_tokens": 14384637.0, + "step": 6510 + }, + { + "entropy": 5.371453905105591, + "epoch": 6.567826525466465, + "grad_norm": 1.25, + "learning_rate": 0.00019292488305988276, + "loss": 4.6329, + "mean_token_accuracy": 0.2233852192759514, + "num_tokens": 14396524.0, + "step": 6515 + }, + { + "entropy": 5.377205085754395, + "epoch": 6.572869389813414, + "grad_norm": 1.46875, + "learning_rate": 0.0001925556775459929, + "loss": 4.6168, + "mean_token_accuracy": 0.21723289787769318, + "num_tokens": 14406098.0, + "step": 6520 + }, + { + "entropy": 5.355901622772217, + "epoch": 6.577912254160363, + "grad_norm": 1.4375, + "learning_rate": 0.000192186728270959, + "loss": 4.6645, + "mean_token_accuracy": 0.20990855246782303, + "num_tokens": 14417324.0, + "step": 6525 + }, + { + "entropy": 5.381169271469116, + "epoch": 6.5829551185073125, + "grad_norm": 1.4765625, + "learning_rate": 0.000191818036381484, + "loss": 4.6631, + "mean_token_accuracy": 0.21148277074098587, + "num_tokens": 14427776.0, + "step": 6530 + }, + { + "entropy": 5.30445294380188, + "epoch": 6.587997982854262, + "grad_norm": 1.515625, + "learning_rate": 0.00019144960302347065, + "loss": 4.6303, + "mean_token_accuracy": 0.2213727429509163, + "num_tokens": 14438730.0, + "step": 6535 + }, + { + "entropy": 5.361790180206299, + "epoch": 6.593040847201211, + "grad_norm": 1.4375, + "learning_rate": 0.00019108142934201854, + "loss": 4.7039, + "mean_token_accuracy": 0.20856965482234954, + "num_tokens": 14451704.0, + "step": 6540 + }, + { + "entropy": 5.284628009796142, + "epoch": 6.598083711548159, + "grad_norm": 1.5546875, + "learning_rate": 0.00019071351648141977, + "loss": 4.6602, + "mean_token_accuracy": 0.21091823130846024, + "num_tokens": 14461921.0, + "step": 6545 + }, + { + "entropy": 5.34711799621582, + "epoch": 6.603126575895108, + "grad_norm": 1.375, + "learning_rate": 0.00019034586558515625, + "loss": 4.6493, + "mean_token_accuracy": 0.21133901923894882, + "num_tokens": 14472912.0, + "step": 6550 + }, + { + "entropy": 5.374591112136841, + "epoch": 6.608169440242057, + "grad_norm": 1.28125, + "learning_rate": 0.00018997847779589518, + "loss": 4.6743, + "mean_token_accuracy": 0.2123213902115822, + "num_tokens": 14484363.0, + "step": 6555 + }, + { + "entropy": 5.3053964138031, + "epoch": 6.613212304589006, + "grad_norm": 1.3359375, + "learning_rate": 0.00018961135425548642, + "loss": 4.5649, + "mean_token_accuracy": 0.22226291745901108, + "num_tokens": 14494793.0, + "step": 6560 + }, + { + "entropy": 5.34075403213501, + "epoch": 6.6182551689359554, + "grad_norm": 1.296875, + "learning_rate": 0.00018924449610495836, + "loss": 4.6868, + "mean_token_accuracy": 0.22028399556875228, + "num_tokens": 14506824.0, + "step": 6565 + }, + { + "entropy": 5.331904077529908, + "epoch": 6.623298033282905, + "grad_norm": 1.40625, + "learning_rate": 0.00018887790448451458, + "loss": 4.6502, + "mean_token_accuracy": 0.22305871844291686, + "num_tokens": 14518178.0, + "step": 6570 + }, + { + "entropy": 5.2953855991363525, + "epoch": 6.628340897629854, + "grad_norm": 1.2265625, + "learning_rate": 0.0001885115805335304, + "loss": 4.5705, + "mean_token_accuracy": 0.22343843579292297, + "num_tokens": 14529497.0, + "step": 6575 + }, + { + "entropy": 5.366054821014404, + "epoch": 6.633383761976803, + "grad_norm": 1.3515625, + "learning_rate": 0.00018814552539054896, + "loss": 4.7029, + "mean_token_accuracy": 0.21585332602262497, + "num_tokens": 14540992.0, + "step": 6580 + }, + { + "entropy": 5.3471770763397215, + "epoch": 6.638426626323752, + "grad_norm": 1.2265625, + "learning_rate": 0.00018777974019327826, + "loss": 4.6521, + "mean_token_accuracy": 0.21429850459098815, + "num_tokens": 14552078.0, + "step": 6585 + }, + { + "entropy": 5.375272750854492, + "epoch": 6.643469490670701, + "grad_norm": 1.3203125, + "learning_rate": 0.00018741422607858693, + "loss": 4.7274, + "mean_token_accuracy": 0.20748427808284758, + "num_tokens": 14563949.0, + "step": 6590 + }, + { + "entropy": 5.312350845336914, + "epoch": 6.64851235501765, + "grad_norm": 1.6484375, + "learning_rate": 0.00018704898418250143, + "loss": 4.648, + "mean_token_accuracy": 0.22181300967931747, + "num_tokens": 14574981.0, + "step": 6595 + }, + { + "entropy": 5.275086116790772, + "epoch": 6.653555219364599, + "grad_norm": 1.296875, + "learning_rate": 0.00018668401564020192, + "loss": 4.6285, + "mean_token_accuracy": 0.21577722877264022, + "num_tokens": 14585318.0, + "step": 6600 + }, + { + "entropy": 5.312783718109131, + "epoch": 6.658598083711548, + "grad_norm": 1.2734375, + "learning_rate": 0.00018631932158601905, + "loss": 4.6547, + "mean_token_accuracy": 0.21883989572525026, + "num_tokens": 14597265.0, + "step": 6605 + }, + { + "entropy": 5.365548801422119, + "epoch": 6.6636409480584975, + "grad_norm": 1.390625, + "learning_rate": 0.00018595490315343038, + "loss": 4.7025, + "mean_token_accuracy": 0.2111709460616112, + "num_tokens": 14606943.0, + "step": 6610 + }, + { + "entropy": 5.311564970016479, + "epoch": 6.668683812405447, + "grad_norm": 1.359375, + "learning_rate": 0.00018559076147505688, + "loss": 4.6501, + "mean_token_accuracy": 0.21835977733135223, + "num_tokens": 14617756.0, + "step": 6615 + }, + { + "entropy": 5.312956142425537, + "epoch": 6.673726676752396, + "grad_norm": 1.3515625, + "learning_rate": 0.00018522689768265911, + "loss": 4.6371, + "mean_token_accuracy": 0.21607528179883956, + "num_tokens": 14628418.0, + "step": 6620 + }, + { + "entropy": 5.357146310806274, + "epoch": 6.678769541099344, + "grad_norm": 1.28125, + "learning_rate": 0.00018486331290713427, + "loss": 4.6334, + "mean_token_accuracy": 0.2163918673992157, + "num_tokens": 14640489.0, + "step": 6625 + }, + { + "entropy": 5.316901111602784, + "epoch": 6.683812405446293, + "grad_norm": 1.3046875, + "learning_rate": 0.00018450000827851217, + "loss": 4.6337, + "mean_token_accuracy": 0.21358822882175446, + "num_tokens": 14650933.0, + "step": 6630 + }, + { + "entropy": 5.3136420249938965, + "epoch": 6.688855269793242, + "grad_norm": 1.3515625, + "learning_rate": 0.000184136984925952, + "loss": 4.5944, + "mean_token_accuracy": 0.21613629311323165, + "num_tokens": 14661288.0, + "step": 6635 + }, + { + "entropy": 5.3822578430175785, + "epoch": 6.693898134140191, + "grad_norm": 1.296875, + "learning_rate": 0.0001837742439777386, + "loss": 4.7177, + "mean_token_accuracy": 0.20961424112319946, + "num_tokens": 14673088.0, + "step": 6640 + }, + { + "entropy": 5.314380884170532, + "epoch": 6.69894099848714, + "grad_norm": 1.421875, + "learning_rate": 0.00018341178656127948, + "loss": 4.6481, + "mean_token_accuracy": 0.21658485382795334, + "num_tokens": 14683761.0, + "step": 6645 + }, + { + "entropy": 5.401474285125732, + "epoch": 6.7039838628340895, + "grad_norm": 1.2890625, + "learning_rate": 0.00018304961380310038, + "loss": 4.6846, + "mean_token_accuracy": 0.21234268546104432, + "num_tokens": 14696567.0, + "step": 6650 + }, + { + "entropy": 5.388226461410523, + "epoch": 6.709026727181039, + "grad_norm": 1.3671875, + "learning_rate": 0.00018268772682884273, + "loss": 4.7323, + "mean_token_accuracy": 0.211135932803154, + "num_tokens": 14708358.0, + "step": 6655 + }, + { + "entropy": 5.300543594360351, + "epoch": 6.714069591527988, + "grad_norm": 1.6328125, + "learning_rate": 0.00018232612676325944, + "loss": 4.6364, + "mean_token_accuracy": 0.2189777597784996, + "num_tokens": 14717987.0, + "step": 6660 + }, + { + "entropy": 5.3876307010650635, + "epoch": 6.719112455874937, + "grad_norm": 1.453125, + "learning_rate": 0.0001819648147302121, + "loss": 4.5936, + "mean_token_accuracy": 0.22396490573883057, + "num_tokens": 14728536.0, + "step": 6665 + }, + { + "entropy": 5.348317575454712, + "epoch": 6.724155320221886, + "grad_norm": 1.2265625, + "learning_rate": 0.00018160379185266662, + "loss": 4.6208, + "mean_token_accuracy": 0.21860901415348052, + "num_tokens": 14740570.0, + "step": 6670 + }, + { + "entropy": 5.383673810958863, + "epoch": 6.729198184568835, + "grad_norm": 1.328125, + "learning_rate": 0.00018124305925269058, + "loss": 4.7548, + "mean_token_accuracy": 0.20642643868923188, + "num_tokens": 14752174.0, + "step": 6675 + }, + { + "entropy": 5.331220912933349, + "epoch": 6.734241048915784, + "grad_norm": 1.3515625, + "learning_rate": 0.00018088261805144918, + "loss": 4.6178, + "mean_token_accuracy": 0.22881786674261093, + "num_tokens": 14762891.0, + "step": 6680 + }, + { + "entropy": 5.331395864486694, + "epoch": 6.739283913262733, + "grad_norm": 1.390625, + "learning_rate": 0.00018052246936920192, + "loss": 4.6388, + "mean_token_accuracy": 0.22367337346076965, + "num_tokens": 14773397.0, + "step": 6685 + }, + { + "entropy": 5.355164384841919, + "epoch": 6.7443267776096825, + "grad_norm": 1.328125, + "learning_rate": 0.00018016261432529928, + "loss": 4.5991, + "mean_token_accuracy": 0.22476366609334947, + "num_tokens": 14785865.0, + "step": 6690 + }, + { + "entropy": 5.361586427688598, + "epoch": 6.749369641956632, + "grad_norm": 1.46875, + "learning_rate": 0.00017980305403817893, + "loss": 4.6679, + "mean_token_accuracy": 0.21399696469306945, + "num_tokens": 14796732.0, + "step": 6695 + }, + { + "entropy": 5.345164823532104, + "epoch": 6.754412506303581, + "grad_norm": 1.53125, + "learning_rate": 0.00017944378962536279, + "loss": 4.6832, + "mean_token_accuracy": 0.21574979424476623, + "num_tokens": 14807356.0, + "step": 6700 + }, + { + "entropy": 5.30222806930542, + "epoch": 6.75945537065053, + "grad_norm": 1.40625, + "learning_rate": 0.00017908482220345268, + "loss": 4.5828, + "mean_token_accuracy": 0.22636306285858154, + "num_tokens": 14819201.0, + "step": 6705 + }, + { + "entropy": 5.290832901000977, + "epoch": 6.764498234997479, + "grad_norm": 1.34375, + "learning_rate": 0.00017872615288812787, + "loss": 4.6808, + "mean_token_accuracy": 0.2133016660809517, + "num_tokens": 14829996.0, + "step": 6710 + }, + { + "entropy": 5.3180242538452145, + "epoch": 6.769541099344428, + "grad_norm": 1.3125, + "learning_rate": 0.00017836778279414057, + "loss": 4.6594, + "mean_token_accuracy": 0.21321381479501725, + "num_tokens": 14840994.0, + "step": 6715 + }, + { + "entropy": 5.304784536361694, + "epoch": 6.774583963691377, + "grad_norm": 1.34375, + "learning_rate": 0.00017800971303531354, + "loss": 4.6422, + "mean_token_accuracy": 0.21603736281394958, + "num_tokens": 14851643.0, + "step": 6720 + }, + { + "entropy": 5.348932075500488, + "epoch": 6.779626828038325, + "grad_norm": 1.4375, + "learning_rate": 0.0001776519447245356, + "loss": 4.6607, + "mean_token_accuracy": 0.21616029739379883, + "num_tokens": 14862017.0, + "step": 6725 + }, + { + "entropy": 5.279548406600952, + "epoch": 6.7846696923852745, + "grad_norm": 1.4140625, + "learning_rate": 0.00017729447897375927, + "loss": 4.6092, + "mean_token_accuracy": 0.21939080953598022, + "num_tokens": 14872754.0, + "step": 6730 + }, + { + "entropy": 5.295262670516967, + "epoch": 6.789712556732224, + "grad_norm": 1.34375, + "learning_rate": 0.00017693731689399605, + "loss": 4.6379, + "mean_token_accuracy": 0.21290521919727326, + "num_tokens": 14883841.0, + "step": 6735 + }, + { + "entropy": 5.287308168411255, + "epoch": 6.794755421079173, + "grad_norm": 1.484375, + "learning_rate": 0.00017658045959531416, + "loss": 4.6197, + "mean_token_accuracy": 0.21733115315437318, + "num_tokens": 14894317.0, + "step": 6740 + }, + { + "entropy": 5.381797361373901, + "epoch": 6.799798285426122, + "grad_norm": 1.265625, + "learning_rate": 0.00017622390818683404, + "loss": 4.6537, + "mean_token_accuracy": 0.2198000058531761, + "num_tokens": 14905636.0, + "step": 6745 + }, + { + "entropy": 5.338959789276123, + "epoch": 6.804841149773071, + "grad_norm": 1.53125, + "learning_rate": 0.00017586766377672593, + "loss": 4.6023, + "mean_token_accuracy": 0.2251695841550827, + "num_tokens": 14916335.0, + "step": 6750 + }, + { + "entropy": 5.322839021682739, + "epoch": 6.80988401412002, + "grad_norm": 1.5, + "learning_rate": 0.00017551172747220552, + "loss": 4.6548, + "mean_token_accuracy": 0.21657199263572693, + "num_tokens": 14926697.0, + "step": 6755 + }, + { + "entropy": 5.309933185577393, + "epoch": 6.814926878466969, + "grad_norm": 1.4375, + "learning_rate": 0.00017515610037953112, + "loss": 4.6997, + "mean_token_accuracy": 0.20491381734609604, + "num_tokens": 14938821.0, + "step": 6760 + }, + { + "entropy": 5.345283365249633, + "epoch": 6.819969742813918, + "grad_norm": 1.3203125, + "learning_rate": 0.0001748007836039999, + "loss": 4.6749, + "mean_token_accuracy": 0.21463018506765366, + "num_tokens": 14950671.0, + "step": 6765 + }, + { + "entropy": 5.400843763351441, + "epoch": 6.825012607160867, + "grad_norm": 1.359375, + "learning_rate": 0.00017444577824994475, + "loss": 4.6414, + "mean_token_accuracy": 0.21676749587059022, + "num_tokens": 14961579.0, + "step": 6770 + }, + { + "entropy": 5.295256042480469, + "epoch": 6.8300554715078166, + "grad_norm": 1.515625, + "learning_rate": 0.0001740910854207303, + "loss": 4.6115, + "mean_token_accuracy": 0.2133998990058899, + "num_tokens": 14971747.0, + "step": 6775 + }, + { + "entropy": 5.283566284179687, + "epoch": 6.835098335854766, + "grad_norm": 1.34375, + "learning_rate": 0.00017373670621875016, + "loss": 4.6622, + "mean_token_accuracy": 0.2162500098347664, + "num_tokens": 14982575.0, + "step": 6780 + }, + { + "entropy": 5.351551914215088, + "epoch": 6.840141200201715, + "grad_norm": 1.2890625, + "learning_rate": 0.000173382641745423, + "loss": 4.6925, + "mean_token_accuracy": 0.21079863756895065, + "num_tokens": 14995301.0, + "step": 6785 + }, + { + "entropy": 5.3515832901000975, + "epoch": 6.845184064548664, + "grad_norm": 1.2734375, + "learning_rate": 0.0001730288931011893, + "loss": 4.662, + "mean_token_accuracy": 0.21524953246116638, + "num_tokens": 15007033.0, + "step": 6790 + }, + { + "entropy": 5.327978610992432, + "epoch": 6.850226928895613, + "grad_norm": 1.4765625, + "learning_rate": 0.00017267546138550823, + "loss": 4.6446, + "mean_token_accuracy": 0.22024314105510712, + "num_tokens": 15018431.0, + "step": 6795 + }, + { + "entropy": 5.368574905395508, + "epoch": 6.855269793242562, + "grad_norm": 1.2109375, + "learning_rate": 0.00017232234769685358, + "loss": 4.6645, + "mean_token_accuracy": 0.21696822643280028, + "num_tokens": 15030066.0, + "step": 6800 + }, + { + "entropy": 5.328826427459717, + "epoch": 6.86031265758951, + "grad_norm": 1.609375, + "learning_rate": 0.00017196955313271086, + "loss": 4.6339, + "mean_token_accuracy": 0.2093048632144928, + "num_tokens": 15039888.0, + "step": 6805 + }, + { + "entropy": 5.269174385070801, + "epoch": 6.8653555219364595, + "grad_norm": 1.2578125, + "learning_rate": 0.00017161707878957368, + "loss": 4.6103, + "mean_token_accuracy": 0.22062758058309556, + "num_tokens": 15051550.0, + "step": 6810 + }, + { + "entropy": 5.370995664596558, + "epoch": 6.870398386283409, + "grad_norm": 1.1640625, + "learning_rate": 0.00017126492576294053, + "loss": 4.6331, + "mean_token_accuracy": 0.21404555141925813, + "num_tokens": 15063026.0, + "step": 6815 + }, + { + "entropy": 5.36248083114624, + "epoch": 6.875441250630358, + "grad_norm": 1.2734375, + "learning_rate": 0.0001709130951473109, + "loss": 4.6577, + "mean_token_accuracy": 0.21238561123609542, + "num_tokens": 15073797.0, + "step": 6820 + }, + { + "entropy": 5.317653179168701, + "epoch": 6.880484114977307, + "grad_norm": 1.3125, + "learning_rate": 0.00017056158803618277, + "loss": 4.6379, + "mean_token_accuracy": 0.22134413421154023, + "num_tokens": 15085481.0, + "step": 6825 + }, + { + "entropy": 5.251279306411743, + "epoch": 6.885526979324256, + "grad_norm": 1.3359375, + "learning_rate": 0.00017021040552204814, + "loss": 4.6052, + "mean_token_accuracy": 0.21521301120519637, + "num_tokens": 15096366.0, + "step": 6830 + }, + { + "entropy": 5.305837774276734, + "epoch": 6.890569843671205, + "grad_norm": 1.34375, + "learning_rate": 0.00016985954869639048, + "loss": 4.7055, + "mean_token_accuracy": 0.20472221821546555, + "num_tokens": 15107804.0, + "step": 6835 + }, + { + "entropy": 5.300729036331177, + "epoch": 6.895612708018154, + "grad_norm": 1.3359375, + "learning_rate": 0.00016950901864968076, + "loss": 4.6014, + "mean_token_accuracy": 0.22149758338928222, + "num_tokens": 15118737.0, + "step": 6840 + }, + { + "entropy": 5.338110113143921, + "epoch": 6.900655572365103, + "grad_norm": 1.40625, + "learning_rate": 0.00016915881647137465, + "loss": 4.7255, + "mean_token_accuracy": 0.21334645450115203, + "num_tokens": 15129645.0, + "step": 6845 + }, + { + "entropy": 5.3771895408630375, + "epoch": 6.905698436712052, + "grad_norm": 1.421875, + "learning_rate": 0.0001688089432499084, + "loss": 4.7056, + "mean_token_accuracy": 0.21627845615148544, + "num_tokens": 15141100.0, + "step": 6850 + }, + { + "entropy": 5.298923635482788, + "epoch": 6.9107413010590015, + "grad_norm": 1.40625, + "learning_rate": 0.00016845940007269617, + "loss": 4.5858, + "mean_token_accuracy": 0.2191134586930275, + "num_tokens": 15151637.0, + "step": 6855 + }, + { + "entropy": 5.3075010776519775, + "epoch": 6.915784165405951, + "grad_norm": 1.328125, + "learning_rate": 0.00016811018802612615, + "loss": 4.6485, + "mean_token_accuracy": 0.2203893929719925, + "num_tokens": 15162126.0, + "step": 6860 + }, + { + "entropy": 5.326016569137574, + "epoch": 6.9208270297529, + "grad_norm": 1.3125, + "learning_rate": 0.00016776130819555758, + "loss": 4.6232, + "mean_token_accuracy": 0.21959089487791061, + "num_tokens": 15172942.0, + "step": 6865 + }, + { + "entropy": 5.340472412109375, + "epoch": 6.925869894099849, + "grad_norm": 1.3984375, + "learning_rate": 0.00016741276166531684, + "loss": 4.6429, + "mean_token_accuracy": 0.2193739205598831, + "num_tokens": 15183534.0, + "step": 6870 + }, + { + "entropy": 5.341355037689209, + "epoch": 6.930912758446798, + "grad_norm": 1.3203125, + "learning_rate": 0.00016706454951869468, + "loss": 4.6648, + "mean_token_accuracy": 0.21327273845672606, + "num_tokens": 15193995.0, + "step": 6875 + }, + { + "entropy": 5.3681694030761715, + "epoch": 6.935955622793747, + "grad_norm": 1.2890625, + "learning_rate": 0.00016671667283794245, + "loss": 4.6921, + "mean_token_accuracy": 0.2116631254553795, + "num_tokens": 15204598.0, + "step": 6880 + }, + { + "entropy": 5.338287830352783, + "epoch": 6.940998487140696, + "grad_norm": 1.328125, + "learning_rate": 0.00016636913270426888, + "loss": 4.6352, + "mean_token_accuracy": 0.2109651193022728, + "num_tokens": 15216933.0, + "step": 6885 + }, + { + "entropy": 5.397768640518189, + "epoch": 6.946041351487645, + "grad_norm": 1.2890625, + "learning_rate": 0.00016602193019783673, + "loss": 4.7155, + "mean_token_accuracy": 0.21376636028289794, + "num_tokens": 15228227.0, + "step": 6890 + }, + { + "entropy": 5.360055685043335, + "epoch": 6.9510842158345945, + "grad_norm": 1.3984375, + "learning_rate": 0.00016567506639775947, + "loss": 4.695, + "mean_token_accuracy": 0.216583451628685, + "num_tokens": 15237701.0, + "step": 6895 + }, + { + "entropy": 5.345563650131226, + "epoch": 6.956127080181544, + "grad_norm": 1.3984375, + "learning_rate": 0.00016532854238209783, + "loss": 4.6815, + "mean_token_accuracy": 0.21556762009859085, + "num_tokens": 15248114.0, + "step": 6900 + }, + { + "entropy": 5.3354325771331785, + "epoch": 6.961169944528492, + "grad_norm": 1.25, + "learning_rate": 0.0001649823592278563, + "loss": 4.6663, + "mean_token_accuracy": 0.21585539281368255, + "num_tokens": 15259246.0, + "step": 6905 + }, + { + "entropy": 5.355136299133301, + "epoch": 6.966212808875441, + "grad_norm": 1.453125, + "learning_rate": 0.00016463651801098023, + "loss": 4.6543, + "mean_token_accuracy": 0.2154486283659935, + "num_tokens": 15270229.0, + "step": 6910 + }, + { + "entropy": 5.363860416412353, + "epoch": 6.97125567322239, + "grad_norm": 1.578125, + "learning_rate": 0.00016429101980635193, + "loss": 4.7132, + "mean_token_accuracy": 0.21458267122507096, + "num_tokens": 15280708.0, + "step": 6915 + }, + { + "entropy": 5.350880479812622, + "epoch": 6.976298537569339, + "grad_norm": 1.5703125, + "learning_rate": 0.00016394586568778795, + "loss": 4.6604, + "mean_token_accuracy": 0.21188926249742507, + "num_tokens": 15291010.0, + "step": 6920 + }, + { + "entropy": 5.327713346481323, + "epoch": 6.981341401916288, + "grad_norm": 1.4296875, + "learning_rate": 0.00016360105672803515, + "loss": 4.5811, + "mean_token_accuracy": 0.22991840690374374, + "num_tokens": 15301133.0, + "step": 6925 + }, + { + "entropy": 5.287805032730103, + "epoch": 6.986384266263237, + "grad_norm": 1.34375, + "learning_rate": 0.00016325659399876792, + "loss": 4.6535, + "mean_token_accuracy": 0.2193632423877716, + "num_tokens": 15311223.0, + "step": 6930 + }, + { + "entropy": 5.307404851913452, + "epoch": 6.9914271306101865, + "grad_norm": 1.3984375, + "learning_rate": 0.00016291247857058412, + "loss": 4.6804, + "mean_token_accuracy": 0.21644218415021896, + "num_tokens": 15321912.0, + "step": 6935 + }, + { + "entropy": 5.278178405761719, + "epoch": 6.996469994957136, + "grad_norm": 1.421875, + "learning_rate": 0.00016256871151300268, + "loss": 4.5682, + "mean_token_accuracy": 0.2209543615579605, + "num_tokens": 15333600.0, + "step": 6940 + }, + { + "entropy": 5.316867828369141, + "epoch": 7.00100857286939, + "grad_norm": 1.3359375, + "learning_rate": 0.00016222529389445928, + "loss": 4.6461, + "mean_token_accuracy": 0.21365364227030012, + "num_tokens": 15343920.0, + "step": 6945 + }, + { + "entropy": 5.351253032684326, + "epoch": 7.006051437216339, + "grad_norm": 1.3046875, + "learning_rate": 0.00016188222678230395, + "loss": 4.5276, + "mean_token_accuracy": 0.22726660519838332, + "num_tokens": 15355324.0, + "step": 6950 + }, + { + "entropy": 5.355388975143432, + "epoch": 7.011094301563288, + "grad_norm": 1.203125, + "learning_rate": 0.0001615395112427972, + "loss": 4.5708, + "mean_token_accuracy": 0.23247056305408478, + "num_tokens": 15366170.0, + "step": 6955 + }, + { + "entropy": 5.303373527526856, + "epoch": 7.016137165910237, + "grad_norm": 1.5078125, + "learning_rate": 0.0001611971483411069, + "loss": 4.4604, + "mean_token_accuracy": 0.24327995181083678, + "num_tokens": 15377384.0, + "step": 6960 + }, + { + "entropy": 5.312825536727905, + "epoch": 7.021180030257186, + "grad_norm": 1.4765625, + "learning_rate": 0.00016085513914130463, + "loss": 4.5574, + "mean_token_accuracy": 0.22749511003494263, + "num_tokens": 15388992.0, + "step": 6965 + }, + { + "entropy": 5.253768873214722, + "epoch": 7.026222894604135, + "grad_norm": 1.4921875, + "learning_rate": 0.00016051348470636306, + "loss": 4.4789, + "mean_token_accuracy": 0.2333448961377144, + "num_tokens": 15399757.0, + "step": 6970 + }, + { + "entropy": 5.297413730621338, + "epoch": 7.0312657589510845, + "grad_norm": 1.3359375, + "learning_rate": 0.00016017218609815195, + "loss": 4.5127, + "mean_token_accuracy": 0.23326511830091476, + "num_tokens": 15410379.0, + "step": 6975 + }, + { + "entropy": 5.246276712417602, + "epoch": 7.036308623298034, + "grad_norm": 1.1484375, + "learning_rate": 0.0001598312443774353, + "loss": 4.4284, + "mean_token_accuracy": 0.23199106454849244, + "num_tokens": 15422098.0, + "step": 6980 + }, + { + "entropy": 5.332926225662232, + "epoch": 7.041351487644983, + "grad_norm": 1.3828125, + "learning_rate": 0.00015949066060386784, + "loss": 4.5364, + "mean_token_accuracy": 0.2324401006102562, + "num_tokens": 15433161.0, + "step": 6985 + }, + { + "entropy": 5.303371477127075, + "epoch": 7.046394351991931, + "grad_norm": 1.3515625, + "learning_rate": 0.00015915043583599183, + "loss": 4.4988, + "mean_token_accuracy": 0.23691647499799728, + "num_tokens": 15443243.0, + "step": 6990 + }, + { + "entropy": 5.325288534164429, + "epoch": 7.05143721633888, + "grad_norm": 1.3828125, + "learning_rate": 0.0001588105711312336, + "loss": 4.6331, + "mean_token_accuracy": 0.21829306483268737, + "num_tokens": 15454997.0, + "step": 6995 + }, + { + "entropy": 5.292270135879517, + "epoch": 7.056480080685829, + "grad_norm": 1.4375, + "learning_rate": 0.00015847106754590055, + "loss": 4.5377, + "mean_token_accuracy": 0.23259725272655488, + "num_tokens": 15466596.0, + "step": 7000 + }, + { + "epoch": 7.056480080685829, + "eval_entropy": 5.190140663515824, + "eval_loss": 5.664591312408447, + "eval_mean_token_accuracy": 0.15645785036357002, + "eval_num_tokens": 15466596.0, + "eval_runtime": 2.0299, + "eval_samples_per_second": 1545.873, + "eval_steps_per_second": 193.604, + "step": 7000 + }, + { + "entropy": 5.342967939376831, + "epoch": 7.061522945032778, + "grad_norm": 1.4453125, + "learning_rate": 0.0001581319261351777, + "loss": 4.561, + "mean_token_accuracy": 0.22747746855020523, + "num_tokens": 15477924.0, + "step": 7005 + }, + { + "entropy": 5.277507972717285, + "epoch": 7.0665658093797274, + "grad_norm": 1.46875, + "learning_rate": 0.00015779314795312426, + "loss": 4.5062, + "mean_token_accuracy": 0.22869454622268676, + "num_tokens": 15489253.0, + "step": 7010 + }, + { + "entropy": 5.325477600097656, + "epoch": 7.071608673726677, + "grad_norm": 1.5234375, + "learning_rate": 0.0001574547340526707, + "loss": 4.5886, + "mean_token_accuracy": 0.22567261308431624, + "num_tokens": 15500809.0, + "step": 7015 + }, + { + "entropy": 5.329904270172119, + "epoch": 7.076651538073626, + "grad_norm": 1.421875, + "learning_rate": 0.00015711668548561527, + "loss": 4.5441, + "mean_token_accuracy": 0.22513023912906646, + "num_tokens": 15512707.0, + "step": 7020 + }, + { + "entropy": 5.257874011993408, + "epoch": 7.081694402420575, + "grad_norm": 1.4453125, + "learning_rate": 0.00015677900330262075, + "loss": 4.5061, + "mean_token_accuracy": 0.23131189197301866, + "num_tokens": 15523887.0, + "step": 7025 + }, + { + "entropy": 5.302902889251709, + "epoch": 7.086737266767524, + "grad_norm": 1.390625, + "learning_rate": 0.00015644168855321098, + "loss": 4.5117, + "mean_token_accuracy": 0.23442438691854478, + "num_tokens": 15534773.0, + "step": 7030 + }, + { + "entropy": 5.334398889541626, + "epoch": 7.091780131114473, + "grad_norm": 1.34375, + "learning_rate": 0.00015610474228576818, + "loss": 4.5741, + "mean_token_accuracy": 0.22616139501333238, + "num_tokens": 15546701.0, + "step": 7035 + }, + { + "entropy": 5.364245986938476, + "epoch": 7.096822995461422, + "grad_norm": 1.28125, + "learning_rate": 0.00015576816554752892, + "loss": 4.5713, + "mean_token_accuracy": 0.22624965906143188, + "num_tokens": 15557830.0, + "step": 7040 + }, + { + "entropy": 5.3050925731658936, + "epoch": 7.101865859808371, + "grad_norm": 1.5078125, + "learning_rate": 0.0001554319593845816, + "loss": 4.4696, + "mean_token_accuracy": 0.2433767944574356, + "num_tokens": 15568790.0, + "step": 7045 + }, + { + "entropy": 5.388065910339355, + "epoch": 7.10690872415532, + "grad_norm": 1.3671875, + "learning_rate": 0.0001550961248418627, + "loss": 4.5351, + "mean_token_accuracy": 0.22904874980449677, + "num_tokens": 15580152.0, + "step": 7050 + }, + { + "entropy": 5.330150413513183, + "epoch": 7.1119515885022695, + "grad_norm": 1.4296875, + "learning_rate": 0.00015476066296315376, + "loss": 4.5454, + "mean_token_accuracy": 0.22565665543079377, + "num_tokens": 15591233.0, + "step": 7055 + }, + { + "entropy": 5.365304231643677, + "epoch": 7.116994452849219, + "grad_norm": 1.5078125, + "learning_rate": 0.000154425574791078, + "loss": 4.6134, + "mean_token_accuracy": 0.2224419578909874, + "num_tokens": 15603093.0, + "step": 7060 + }, + { + "entropy": 5.2755434036254885, + "epoch": 7.122037317196168, + "grad_norm": 1.546875, + "learning_rate": 0.00015409086136709723, + "loss": 4.473, + "mean_token_accuracy": 0.23818657994270326, + "num_tokens": 15613187.0, + "step": 7065 + }, + { + "entropy": 5.3314450740814205, + "epoch": 7.127080181543117, + "grad_norm": 1.1875, + "learning_rate": 0.0001537565237315084, + "loss": 4.5909, + "mean_token_accuracy": 0.22641514837741852, + "num_tokens": 15625860.0, + "step": 7070 + }, + { + "entropy": 5.379950332641601, + "epoch": 7.132123045890066, + "grad_norm": 1.34375, + "learning_rate": 0.00015342256292344065, + "loss": 4.6315, + "mean_token_accuracy": 0.22722586542367934, + "num_tokens": 15636888.0, + "step": 7075 + }, + { + "entropy": 5.362259817123413, + "epoch": 7.137165910237014, + "grad_norm": 1.3984375, + "learning_rate": 0.00015308897998085187, + "loss": 4.6299, + "mean_token_accuracy": 0.21784261912107467, + "num_tokens": 15648122.0, + "step": 7080 + }, + { + "entropy": 5.341370296478272, + "epoch": 7.142208774583963, + "grad_norm": 1.2734375, + "learning_rate": 0.00015275577594052564, + "loss": 4.5495, + "mean_token_accuracy": 0.22538087218999864, + "num_tokens": 15658347.0, + "step": 7085 + }, + { + "entropy": 5.277120542526245, + "epoch": 7.147251638930912, + "grad_norm": 1.3515625, + "learning_rate": 0.0001524229518380676, + "loss": 4.5149, + "mean_token_accuracy": 0.2264695256948471, + "num_tokens": 15670357.0, + "step": 7090 + }, + { + "entropy": 5.357531547546387, + "epoch": 7.1522945032778615, + "grad_norm": 1.4609375, + "learning_rate": 0.0001520905087079029, + "loss": 4.4907, + "mean_token_accuracy": 0.23583969920873643, + "num_tokens": 15681734.0, + "step": 7095 + }, + { + "entropy": 5.27922739982605, + "epoch": 7.157337367624811, + "grad_norm": 1.4296875, + "learning_rate": 0.00015175844758327239, + "loss": 4.5768, + "mean_token_accuracy": 0.22651268988847734, + "num_tokens": 15693772.0, + "step": 7100 + }, + { + "entropy": 5.349179124832153, + "epoch": 7.16238023197176, + "grad_norm": 1.2734375, + "learning_rate": 0.00015142676949622973, + "loss": 4.6037, + "mean_token_accuracy": 0.22167278826236725, + "num_tokens": 15705390.0, + "step": 7105 + }, + { + "entropy": 5.2857749462127686, + "epoch": 7.167423096318709, + "grad_norm": 1.3125, + "learning_rate": 0.00015109547547763802, + "loss": 4.5362, + "mean_token_accuracy": 0.2254762217402458, + "num_tokens": 15716453.0, + "step": 7110 + }, + { + "entropy": 5.279051494598389, + "epoch": 7.172465960665658, + "grad_norm": 1.421875, + "learning_rate": 0.00015076456655716675, + "loss": 4.5616, + "mean_token_accuracy": 0.23126013129949569, + "num_tokens": 15727218.0, + "step": 7115 + }, + { + "entropy": 5.36016845703125, + "epoch": 7.177508825012607, + "grad_norm": 1.3046875, + "learning_rate": 0.00015043404376328856, + "loss": 4.5603, + "mean_token_accuracy": 0.2260824516415596, + "num_tokens": 15738209.0, + "step": 7120 + }, + { + "entropy": 5.287611770629883, + "epoch": 7.182551689359556, + "grad_norm": 1.2421875, + "learning_rate": 0.00015010390812327578, + "loss": 4.5078, + "mean_token_accuracy": 0.23224884122610093, + "num_tokens": 15750297.0, + "step": 7125 + }, + { + "entropy": 5.279722595214844, + "epoch": 7.187594553706505, + "grad_norm": 1.390625, + "learning_rate": 0.0001497741606631977, + "loss": 4.5777, + "mean_token_accuracy": 0.22035890072584152, + "num_tokens": 15760479.0, + "step": 7130 + }, + { + "entropy": 5.286903429031372, + "epoch": 7.1926374180534545, + "grad_norm": 1.3984375, + "learning_rate": 0.0001494448024079169, + "loss": 4.5897, + "mean_token_accuracy": 0.22308809012174607, + "num_tokens": 15772804.0, + "step": 7135 + }, + { + "entropy": 5.246288061141968, + "epoch": 7.197680282400404, + "grad_norm": 1.4453125, + "learning_rate": 0.00014911583438108656, + "loss": 4.4311, + "mean_token_accuracy": 0.23591995984315872, + "num_tokens": 15783256.0, + "step": 7140 + }, + { + "entropy": 5.315304136276245, + "epoch": 7.202723146747353, + "grad_norm": 1.4609375, + "learning_rate": 0.00014878725760514682, + "loss": 4.5964, + "mean_token_accuracy": 0.22201442420482637, + "num_tokens": 15794873.0, + "step": 7145 + }, + { + "entropy": 5.353905725479126, + "epoch": 7.207766011094302, + "grad_norm": 1.5078125, + "learning_rate": 0.00014845907310132202, + "loss": 4.5949, + "mean_token_accuracy": 0.22602345198392867, + "num_tokens": 15804788.0, + "step": 7150 + }, + { + "entropy": 5.315305709838867, + "epoch": 7.212808875441251, + "grad_norm": 1.3203125, + "learning_rate": 0.00014813128188961695, + "loss": 4.5692, + "mean_token_accuracy": 0.22759516537189484, + "num_tokens": 15817087.0, + "step": 7155 + }, + { + "entropy": 5.347730875015259, + "epoch": 7.2178517397882, + "grad_norm": 1.46875, + "learning_rate": 0.00014780388498881447, + "loss": 4.5319, + "mean_token_accuracy": 0.2360930174589157, + "num_tokens": 15826887.0, + "step": 7160 + }, + { + "entropy": 5.312480878829956, + "epoch": 7.222894604135149, + "grad_norm": 1.3125, + "learning_rate": 0.0001474768834164715, + "loss": 4.5549, + "mean_token_accuracy": 0.22395195215940475, + "num_tokens": 15838290.0, + "step": 7165 + }, + { + "entropy": 5.272480010986328, + "epoch": 7.227937468482098, + "grad_norm": 1.46875, + "learning_rate": 0.00014715027818891656, + "loss": 4.5369, + "mean_token_accuracy": 0.23386336117982864, + "num_tokens": 15849444.0, + "step": 7170 + }, + { + "entropy": 5.312888288497925, + "epoch": 7.2329803328290465, + "grad_norm": 1.3046875, + "learning_rate": 0.0001468240703212463, + "loss": 4.5893, + "mean_token_accuracy": 0.223324516415596, + "num_tokens": 15859215.0, + "step": 7175 + }, + { + "entropy": 5.252601432800293, + "epoch": 7.238023197175996, + "grad_norm": 1.359375, + "learning_rate": 0.00014649826082732226, + "loss": 4.5536, + "mean_token_accuracy": 0.22863994240760804, + "num_tokens": 15870372.0, + "step": 7180 + }, + { + "entropy": 5.309851455688476, + "epoch": 7.243066061522945, + "grad_norm": 1.546875, + "learning_rate": 0.00014617285071976777, + "loss": 4.5128, + "mean_token_accuracy": 0.22644595354795455, + "num_tokens": 15881414.0, + "step": 7185 + }, + { + "entropy": 5.307170295715332, + "epoch": 7.248108925869894, + "grad_norm": 1.453125, + "learning_rate": 0.00014584784100996512, + "loss": 4.5361, + "mean_token_accuracy": 0.22832292467355728, + "num_tokens": 15892800.0, + "step": 7190 + }, + { + "entropy": 5.350831174850464, + "epoch": 7.253151790216843, + "grad_norm": 1.4765625, + "learning_rate": 0.0001455232327080518, + "loss": 4.5612, + "mean_token_accuracy": 0.21920505464076995, + "num_tokens": 15903266.0, + "step": 7195 + }, + { + "entropy": 5.274076128005982, + "epoch": 7.258194654563792, + "grad_norm": 1.3515625, + "learning_rate": 0.00014519902682291795, + "loss": 4.4898, + "mean_token_accuracy": 0.23219892382621765, + "num_tokens": 15914738.0, + "step": 7200 + }, + { + "entropy": 5.287580966949463, + "epoch": 7.263237518910741, + "grad_norm": 1.4453125, + "learning_rate": 0.00014487522436220304, + "loss": 4.5182, + "mean_token_accuracy": 0.22857421189546584, + "num_tokens": 15925170.0, + "step": 7205 + }, + { + "entropy": 5.299157762527466, + "epoch": 7.26828038325769, + "grad_norm": 1.328125, + "learning_rate": 0.00014455182633229258, + "loss": 4.4885, + "mean_token_accuracy": 0.23408662229776384, + "num_tokens": 15936434.0, + "step": 7210 + }, + { + "entropy": 5.311158227920532, + "epoch": 7.273323247604639, + "grad_norm": 1.3671875, + "learning_rate": 0.00014422883373831497, + "loss": 4.539, + "mean_token_accuracy": 0.23000027239322662, + "num_tokens": 15946667.0, + "step": 7215 + }, + { + "entropy": 5.390425395965576, + "epoch": 7.278366111951589, + "grad_norm": 1.359375, + "learning_rate": 0.00014390624758413872, + "loss": 4.6007, + "mean_token_accuracy": 0.2192816913127899, + "num_tokens": 15956601.0, + "step": 7220 + }, + { + "entropy": 5.301521587371826, + "epoch": 7.283408976298538, + "grad_norm": 1.390625, + "learning_rate": 0.00014358406887236914, + "loss": 4.579, + "mean_token_accuracy": 0.2187001883983612, + "num_tokens": 15967542.0, + "step": 7225 + }, + { + "entropy": 5.268623161315918, + "epoch": 7.288451840645487, + "grad_norm": 1.4140625, + "learning_rate": 0.00014326229860434488, + "loss": 4.4961, + "mean_token_accuracy": 0.22896168380975723, + "num_tokens": 15978375.0, + "step": 7230 + }, + { + "entropy": 5.289550113677978, + "epoch": 7.293494704992436, + "grad_norm": 1.5625, + "learning_rate": 0.0001429409377801355, + "loss": 4.531, + "mean_token_accuracy": 0.2279664546251297, + "num_tokens": 15989269.0, + "step": 7235 + }, + { + "entropy": 5.319182300567627, + "epoch": 7.298537569339385, + "grad_norm": 1.5234375, + "learning_rate": 0.00014261998739853785, + "loss": 4.549, + "mean_token_accuracy": 0.2318236082792282, + "num_tokens": 16000622.0, + "step": 7240 + }, + { + "entropy": 5.339053392410278, + "epoch": 7.303580433686334, + "grad_norm": 1.3984375, + "learning_rate": 0.00014229944845707315, + "loss": 4.5473, + "mean_token_accuracy": 0.23991765826940536, + "num_tokens": 16011586.0, + "step": 7245 + }, + { + "entropy": 5.357959747314453, + "epoch": 7.308623298033283, + "grad_norm": 1.3828125, + "learning_rate": 0.00014197932195198374, + "loss": 4.5526, + "mean_token_accuracy": 0.23095664381980896, + "num_tokens": 16023519.0, + "step": 7250 + }, + { + "entropy": 5.268877792358398, + "epoch": 7.313666162380232, + "grad_norm": 1.46875, + "learning_rate": 0.00014165960887823026, + "loss": 4.4598, + "mean_token_accuracy": 0.2319287598133087, + "num_tokens": 16033627.0, + "step": 7255 + }, + { + "entropy": 5.270218992233277, + "epoch": 7.318709026727181, + "grad_norm": 1.5, + "learning_rate": 0.00014134031022948817, + "loss": 4.4941, + "mean_token_accuracy": 0.23133867979049683, + "num_tokens": 16044222.0, + "step": 7260 + }, + { + "entropy": 5.282980012893677, + "epoch": 7.32375189107413, + "grad_norm": 1.3125, + "learning_rate": 0.00014102142699814525, + "loss": 4.5425, + "mean_token_accuracy": 0.22663716226816177, + "num_tokens": 16055336.0, + "step": 7265 + }, + { + "entropy": 5.3312098503112795, + "epoch": 7.328794755421079, + "grad_norm": 1.3671875, + "learning_rate": 0.00014070296017529773, + "loss": 4.5296, + "mean_token_accuracy": 0.2233452707529068, + "num_tokens": 16067046.0, + "step": 7270 + }, + { + "entropy": 5.318199300765992, + "epoch": 7.333837619768028, + "grad_norm": 1.3984375, + "learning_rate": 0.00014038491075074805, + "loss": 4.5451, + "mean_token_accuracy": 0.2297145575284958, + "num_tokens": 16078412.0, + "step": 7275 + }, + { + "entropy": 5.329317903518676, + "epoch": 7.338880484114977, + "grad_norm": 1.6484375, + "learning_rate": 0.00014006727971300098, + "loss": 4.6181, + "mean_token_accuracy": 0.21633000373840333, + "num_tokens": 16089273.0, + "step": 7280 + }, + { + "entropy": 5.32567777633667, + "epoch": 7.343923348461926, + "grad_norm": 1.5390625, + "learning_rate": 0.00013975006804926128, + "loss": 4.5694, + "mean_token_accuracy": 0.22719766348600387, + "num_tokens": 16099002.0, + "step": 7285 + }, + { + "entropy": 5.303778648376465, + "epoch": 7.348966212808875, + "grad_norm": 1.484375, + "learning_rate": 0.00013943327674542988, + "loss": 4.5559, + "mean_token_accuracy": 0.22620025277137756, + "num_tokens": 16108988.0, + "step": 7290 + }, + { + "entropy": 5.269321155548096, + "epoch": 7.354009077155824, + "grad_norm": 1.40625, + "learning_rate": 0.00013911690678610164, + "loss": 4.5147, + "mean_token_accuracy": 0.2249543249607086, + "num_tokens": 16119968.0, + "step": 7295 + }, + { + "entropy": 5.324913406372071, + "epoch": 7.3590519415027735, + "grad_norm": 1.3828125, + "learning_rate": 0.00013880095915456167, + "loss": 4.5005, + "mean_token_accuracy": 0.23076407313346864, + "num_tokens": 16131588.0, + "step": 7300 + }, + { + "entropy": 5.328034496307373, + "epoch": 7.364094805849723, + "grad_norm": 1.453125, + "learning_rate": 0.00013848543483278256, + "loss": 4.536, + "mean_token_accuracy": 0.22857568114995958, + "num_tokens": 16141063.0, + "step": 7305 + }, + { + "entropy": 5.312693452835083, + "epoch": 7.369137670196672, + "grad_norm": 1.6484375, + "learning_rate": 0.000138170334801421, + "loss": 4.5626, + "mean_token_accuracy": 0.22825343757867814, + "num_tokens": 16151773.0, + "step": 7310 + }, + { + "entropy": 5.252763462066651, + "epoch": 7.374180534543621, + "grad_norm": 1.46875, + "learning_rate": 0.00013785566003981538, + "loss": 4.5353, + "mean_token_accuracy": 0.2315294176340103, + "num_tokens": 16162863.0, + "step": 7315 + }, + { + "entropy": 5.309763813018799, + "epoch": 7.37922339889057, + "grad_norm": 1.5078125, + "learning_rate": 0.0001375414115259819, + "loss": 4.558, + "mean_token_accuracy": 0.22765425443649293, + "num_tokens": 16173352.0, + "step": 7320 + }, + { + "entropy": 5.369609785079956, + "epoch": 7.384266263237519, + "grad_norm": 1.421875, + "learning_rate": 0.0001372275902366122, + "loss": 4.6159, + "mean_token_accuracy": 0.2245473712682724, + "num_tokens": 16185129.0, + "step": 7325 + }, + { + "entropy": 5.418182373046875, + "epoch": 7.389309127584468, + "grad_norm": 1.5390625, + "learning_rate": 0.00013691419714707026, + "loss": 4.5983, + "mean_token_accuracy": 0.22159814536571504, + "num_tokens": 16195735.0, + "step": 7330 + }, + { + "entropy": 5.375027513504028, + "epoch": 7.394351991931417, + "grad_norm": 1.53125, + "learning_rate": 0.00013660123323138893, + "loss": 4.6608, + "mean_token_accuracy": 0.2176942616701126, + "num_tokens": 16206435.0, + "step": 7335 + }, + { + "entropy": 5.28547511100769, + "epoch": 7.3993948562783665, + "grad_norm": 1.4609375, + "learning_rate": 0.00013628869946226738, + "loss": 4.5917, + "mean_token_accuracy": 0.22077101618051528, + "num_tokens": 16217810.0, + "step": 7340 + }, + { + "entropy": 5.324528503417969, + "epoch": 7.404437720625316, + "grad_norm": 1.453125, + "learning_rate": 0.0001359765968110676, + "loss": 4.5941, + "mean_token_accuracy": 0.2223574101924896, + "num_tokens": 16228411.0, + "step": 7345 + }, + { + "entropy": 5.295448637008667, + "epoch": 7.409480584972265, + "grad_norm": 1.1875, + "learning_rate": 0.00013566492624781198, + "loss": 4.5932, + "mean_token_accuracy": 0.21643946915864945, + "num_tokens": 16240748.0, + "step": 7350 + }, + { + "entropy": 5.334490442276001, + "epoch": 7.414523449319213, + "grad_norm": 1.3671875, + "learning_rate": 0.0001353536887411797, + "loss": 4.5299, + "mean_token_accuracy": 0.2350569635629654, + "num_tokens": 16251103.0, + "step": 7355 + }, + { + "entropy": 5.278464126586914, + "epoch": 7.419566313666162, + "grad_norm": 1.703125, + "learning_rate": 0.00013504288525850416, + "loss": 4.4974, + "mean_token_accuracy": 0.22453696578741072, + "num_tokens": 16261192.0, + "step": 7360 + }, + { + "entropy": 5.362449789047242, + "epoch": 7.424609178013111, + "grad_norm": 1.40625, + "learning_rate": 0.00013473251676576975, + "loss": 4.616, + "mean_token_accuracy": 0.2193491742014885, + "num_tokens": 16272040.0, + "step": 7365 + }, + { + "entropy": 5.270107650756836, + "epoch": 7.42965204236006, + "grad_norm": 1.4921875, + "learning_rate": 0.000134422584227609, + "loss": 4.5013, + "mean_token_accuracy": 0.23930173367261887, + "num_tokens": 16283353.0, + "step": 7370 + }, + { + "entropy": 5.390665864944458, + "epoch": 7.434694906707009, + "grad_norm": 1.375, + "learning_rate": 0.0001341130886072992, + "loss": 4.6324, + "mean_token_accuracy": 0.22283827662467956, + "num_tokens": 16294828.0, + "step": 7375 + }, + { + "entropy": 5.253811550140381, + "epoch": 7.4397377710539585, + "grad_norm": 1.296875, + "learning_rate": 0.00013380403086676014, + "loss": 4.4781, + "mean_token_accuracy": 0.23178844898939133, + "num_tokens": 16305962.0, + "step": 7380 + }, + { + "entropy": 5.328195524215698, + "epoch": 7.444780635400908, + "grad_norm": 1.453125, + "learning_rate": 0.00013349541196655006, + "loss": 4.5993, + "mean_token_accuracy": 0.2227032318711281, + "num_tokens": 16317393.0, + "step": 7385 + }, + { + "entropy": 5.331318092346192, + "epoch": 7.449823499747857, + "grad_norm": 1.4765625, + "learning_rate": 0.00013318723286586388, + "loss": 4.526, + "mean_token_accuracy": 0.23059408664703368, + "num_tokens": 16328833.0, + "step": 7390 + }, + { + "entropy": 5.3062169551849365, + "epoch": 7.454866364094806, + "grad_norm": 1.4140625, + "learning_rate": 0.0001328794945225293, + "loss": 4.5374, + "mean_token_accuracy": 0.2280798375606537, + "num_tokens": 16341317.0, + "step": 7395 + }, + { + "entropy": 5.321703195571899, + "epoch": 7.459909228441755, + "grad_norm": 1.46875, + "learning_rate": 0.00013257219789300417, + "loss": 4.5646, + "mean_token_accuracy": 0.2251522347331047, + "num_tokens": 16350975.0, + "step": 7400 + }, + { + "entropy": 5.3876220703125, + "epoch": 7.464952092788704, + "grad_norm": 1.3671875, + "learning_rate": 0.0001322653439323735, + "loss": 4.6333, + "mean_token_accuracy": 0.2244359627366066, + "num_tokens": 16362402.0, + "step": 7405 + }, + { + "entropy": 5.36578335762024, + "epoch": 7.469994957135653, + "grad_norm": 1.484375, + "learning_rate": 0.00013195893359434658, + "loss": 4.6849, + "mean_token_accuracy": 0.22018146961927415, + "num_tokens": 16373098.0, + "step": 7410 + }, + { + "entropy": 5.299588871002197, + "epoch": 7.475037821482602, + "grad_norm": 1.4765625, + "learning_rate": 0.00013165296783125357, + "loss": 4.5213, + "mean_token_accuracy": 0.23005716651678085, + "num_tokens": 16384102.0, + "step": 7415 + }, + { + "entropy": 5.366280937194825, + "epoch": 7.480080685829551, + "grad_norm": 1.453125, + "learning_rate": 0.00013134744759404332, + "loss": 4.5654, + "mean_token_accuracy": 0.22681732922792436, + "num_tokens": 16396395.0, + "step": 7420 + }, + { + "entropy": 5.3814598560333256, + "epoch": 7.4851235501765006, + "grad_norm": 1.6015625, + "learning_rate": 0.0001310423738322797, + "loss": 4.6075, + "mean_token_accuracy": 0.22390911281108855, + "num_tokens": 16406903.0, + "step": 7425 + }, + { + "entropy": 5.296126842498779, + "epoch": 7.49016641452345, + "grad_norm": 1.4375, + "learning_rate": 0.00013073774749413903, + "loss": 4.5692, + "mean_token_accuracy": 0.22573120296001434, + "num_tokens": 16418330.0, + "step": 7430 + }, + { + "entropy": 5.361040496826172, + "epoch": 7.495209278870399, + "grad_norm": 1.78125, + "learning_rate": 0.00013043356952640697, + "loss": 4.6114, + "mean_token_accuracy": 0.22498591393232345, + "num_tokens": 16428157.0, + "step": 7435 + }, + { + "entropy": 5.366618680953979, + "epoch": 7.500252143217347, + "grad_norm": 1.484375, + "learning_rate": 0.00013012984087447567, + "loss": 4.6161, + "mean_token_accuracy": 0.22266503125429155, + "num_tokens": 16439517.0, + "step": 7440 + }, + { + "entropy": 5.389238119125366, + "epoch": 7.505295007564296, + "grad_norm": 1.4375, + "learning_rate": 0.00012982656248234088, + "loss": 4.5862, + "mean_token_accuracy": 0.22562944442033767, + "num_tokens": 16450681.0, + "step": 7445 + }, + { + "entropy": 5.36590576171875, + "epoch": 7.510337871911245, + "grad_norm": 1.3203125, + "learning_rate": 0.00012952373529259863, + "loss": 4.6879, + "mean_token_accuracy": 0.2208303615450859, + "num_tokens": 16462234.0, + "step": 7450 + }, + { + "entropy": 5.239923477172852, + "epoch": 7.515380736258194, + "grad_norm": 1.4296875, + "learning_rate": 0.00012922136024644298, + "loss": 4.4677, + "mean_token_accuracy": 0.23347049206495285, + "num_tokens": 16472391.0, + "step": 7455 + }, + { + "entropy": 5.296608209609985, + "epoch": 7.5204236006051435, + "grad_norm": 1.4609375, + "learning_rate": 0.00012891943828366247, + "loss": 4.5239, + "mean_token_accuracy": 0.2323160022497177, + "num_tokens": 16484589.0, + "step": 7460 + }, + { + "entropy": 5.275177526473999, + "epoch": 7.525466464952093, + "grad_norm": 1.421875, + "learning_rate": 0.00012861797034263763, + "loss": 4.5429, + "mean_token_accuracy": 0.22243109196424485, + "num_tokens": 16495015.0, + "step": 7465 + }, + { + "entropy": 5.28558087348938, + "epoch": 7.530509329299042, + "grad_norm": 1.609375, + "learning_rate": 0.0001283169573603376, + "loss": 4.5337, + "mean_token_accuracy": 0.22720717787742614, + "num_tokens": 16506052.0, + "step": 7470 + }, + { + "entropy": 5.38506007194519, + "epoch": 7.535552193645991, + "grad_norm": 1.390625, + "learning_rate": 0.00012801640027231792, + "loss": 4.6231, + "mean_token_accuracy": 0.22220973819494247, + "num_tokens": 16516006.0, + "step": 7475 + }, + { + "entropy": 5.305652761459351, + "epoch": 7.54059505799294, + "grad_norm": 1.6484375, + "learning_rate": 0.00012771630001271668, + "loss": 4.5481, + "mean_token_accuracy": 0.23007031828165053, + "num_tokens": 16525689.0, + "step": 7480 + }, + { + "entropy": 5.411469030380249, + "epoch": 7.545637922339889, + "grad_norm": 1.53125, + "learning_rate": 0.00012741665751425253, + "loss": 4.6688, + "mean_token_accuracy": 0.22066134959459305, + "num_tokens": 16537685.0, + "step": 7485 + }, + { + "entropy": 5.292471694946289, + "epoch": 7.550680786686838, + "grad_norm": 1.5234375, + "learning_rate": 0.00012711747370822127, + "loss": 4.5434, + "mean_token_accuracy": 0.2249879539012909, + "num_tokens": 16549004.0, + "step": 7490 + }, + { + "entropy": 5.308638668060302, + "epoch": 7.555723651033787, + "grad_norm": 1.3984375, + "learning_rate": 0.00012681874952449315, + "loss": 4.5036, + "mean_token_accuracy": 0.22816321402788162, + "num_tokens": 16559828.0, + "step": 7495 + }, + { + "entropy": 5.357577991485596, + "epoch": 7.560766515380736, + "grad_norm": 1.4609375, + "learning_rate": 0.0001265204858915097, + "loss": 4.6009, + "mean_token_accuracy": 0.22611231803894044, + "num_tokens": 16571157.0, + "step": 7500 + }, + { + "entropy": 5.276933574676514, + "epoch": 7.5658093797276855, + "grad_norm": 1.3125, + "learning_rate": 0.00012622268373628127, + "loss": 4.5728, + "mean_token_accuracy": 0.22095130234956742, + "num_tokens": 16583183.0, + "step": 7505 + }, + { + "entropy": 5.30887656211853, + "epoch": 7.570852244074635, + "grad_norm": 1.4765625, + "learning_rate": 0.00012592534398438369, + "loss": 4.5435, + "mean_token_accuracy": 0.22795689702033997, + "num_tokens": 16593985.0, + "step": 7510 + }, + { + "entropy": 5.304389715194702, + "epoch": 7.575895108421584, + "grad_norm": 1.5703125, + "learning_rate": 0.00012562846755995586, + "loss": 4.5773, + "mean_token_accuracy": 0.2223420187830925, + "num_tokens": 16605084.0, + "step": 7515 + }, + { + "entropy": 5.27324481010437, + "epoch": 7.580937972768533, + "grad_norm": 1.59375, + "learning_rate": 0.00012533205538569654, + "loss": 4.5116, + "mean_token_accuracy": 0.22414469569921494, + "num_tokens": 16615754.0, + "step": 7520 + }, + { + "entropy": 5.312811994552613, + "epoch": 7.585980837115482, + "grad_norm": 1.3671875, + "learning_rate": 0.0001250361083828617, + "loss": 4.5674, + "mean_token_accuracy": 0.22256779074668884, + "num_tokens": 16626326.0, + "step": 7525 + }, + { + "entropy": 5.362917804718018, + "epoch": 7.591023701462431, + "grad_norm": 1.4140625, + "learning_rate": 0.0001247406274712613, + "loss": 4.6654, + "mean_token_accuracy": 0.21558403223752975, + "num_tokens": 16637843.0, + "step": 7530 + }, + { + "entropy": 5.3201123714447025, + "epoch": 7.59606656580938, + "grad_norm": 1.671875, + "learning_rate": 0.00012444561356925697, + "loss": 4.5289, + "mean_token_accuracy": 0.23688336163759233, + "num_tokens": 16647282.0, + "step": 7535 + }, + { + "entropy": 5.3486199378967285, + "epoch": 7.6011094301563285, + "grad_norm": 1.5, + "learning_rate": 0.00012415106759375855, + "loss": 4.6387, + "mean_token_accuracy": 0.2242850825190544, + "num_tokens": 16658830.0, + "step": 7540 + }, + { + "entropy": 5.397105884552002, + "epoch": 7.606152294503278, + "grad_norm": 1.5390625, + "learning_rate": 0.00012385699046022188, + "loss": 4.6537, + "mean_token_accuracy": 0.2174565613269806, + "num_tokens": 16671129.0, + "step": 7545 + }, + { + "entropy": 5.306834745407104, + "epoch": 7.611195158850227, + "grad_norm": 1.40625, + "learning_rate": 0.00012356338308264537, + "loss": 4.6074, + "mean_token_accuracy": 0.22890110015869142, + "num_tokens": 16681517.0, + "step": 7550 + }, + { + "entropy": 5.346094751358033, + "epoch": 7.616238023197176, + "grad_norm": 1.3984375, + "learning_rate": 0.0001232702463735676, + "loss": 4.5922, + "mean_token_accuracy": 0.22769390940666198, + "num_tokens": 16692821.0, + "step": 7555 + }, + { + "entropy": 5.306934452056884, + "epoch": 7.621280887544125, + "grad_norm": 1.5859375, + "learning_rate": 0.00012297758124406427, + "loss": 4.5288, + "mean_token_accuracy": 0.2301470398902893, + "num_tokens": 16703702.0, + "step": 7560 + }, + { + "entropy": 5.30745792388916, + "epoch": 7.626323751891074, + "grad_norm": 1.3203125, + "learning_rate": 0.00012268538860374517, + "loss": 4.6036, + "mean_token_accuracy": 0.2234151005744934, + "num_tokens": 16716613.0, + "step": 7565 + }, + { + "entropy": 5.266137027740479, + "epoch": 7.631366616238023, + "grad_norm": 1.609375, + "learning_rate": 0.00012239366936075196, + "loss": 4.5784, + "mean_token_accuracy": 0.22560738176107406, + "num_tokens": 16728305.0, + "step": 7570 + }, + { + "entropy": 5.287670373916626, + "epoch": 7.636409480584972, + "grad_norm": 1.453125, + "learning_rate": 0.00012210242442175462, + "loss": 4.5269, + "mean_token_accuracy": 0.22116995751857757, + "num_tokens": 16739690.0, + "step": 7575 + }, + { + "entropy": 5.335946035385132, + "epoch": 7.641452344931921, + "grad_norm": 1.5859375, + "learning_rate": 0.00012181165469194924, + "loss": 4.5635, + "mean_token_accuracy": 0.22129445821046828, + "num_tokens": 16749564.0, + "step": 7580 + }, + { + "entropy": 5.317498636245728, + "epoch": 7.6464952092788705, + "grad_norm": 1.40625, + "learning_rate": 0.0001215213610750548, + "loss": 4.5602, + "mean_token_accuracy": 0.2325634852051735, + "num_tokens": 16760365.0, + "step": 7585 + }, + { + "entropy": 5.32337589263916, + "epoch": 7.65153807362582, + "grad_norm": 1.453125, + "learning_rate": 0.00012123154447331064, + "loss": 4.5715, + "mean_token_accuracy": 0.22457259893417358, + "num_tokens": 16770583.0, + "step": 7590 + }, + { + "entropy": 5.356166934967041, + "epoch": 7.656580937972769, + "grad_norm": 1.328125, + "learning_rate": 0.00012094220578747332, + "loss": 4.6304, + "mean_token_accuracy": 0.22145547419786454, + "num_tokens": 16781361.0, + "step": 7595 + }, + { + "entropy": 5.274415302276611, + "epoch": 7.661623802319718, + "grad_norm": 1.390625, + "learning_rate": 0.0001206533459168143, + "loss": 4.5307, + "mean_token_accuracy": 0.22214600145816804, + "num_tokens": 16792186.0, + "step": 7600 + }, + { + "entropy": 5.318784618377686, + "epoch": 7.666666666666667, + "grad_norm": 1.2578125, + "learning_rate": 0.00012036496575911656, + "loss": 4.5802, + "mean_token_accuracy": 0.2268913507461548, + "num_tokens": 16803937.0, + "step": 7605 + }, + { + "entropy": 5.311258459091187, + "epoch": 7.671709531013616, + "grad_norm": 1.53125, + "learning_rate": 0.00012007706621067232, + "loss": 4.525, + "mean_token_accuracy": 0.2303698718547821, + "num_tokens": 16814895.0, + "step": 7610 + }, + { + "entropy": 5.31242356300354, + "epoch": 7.676752395360564, + "grad_norm": 1.71875, + "learning_rate": 0.00011978964816628008, + "loss": 4.5334, + "mean_token_accuracy": 0.22758640199899674, + "num_tokens": 16826037.0, + "step": 7615 + }, + { + "entropy": 5.271807146072388, + "epoch": 7.681795259707513, + "grad_norm": 1.5546875, + "learning_rate": 0.00011950271251924178, + "loss": 4.4724, + "mean_token_accuracy": 0.23702401518821717, + "num_tokens": 16835703.0, + "step": 7620 + }, + { + "entropy": 5.282507610321045, + "epoch": 7.6868381240544625, + "grad_norm": 1.484375, + "learning_rate": 0.00011921626016135991, + "loss": 4.5282, + "mean_token_accuracy": 0.22803466767072678, + "num_tokens": 16846539.0, + "step": 7625 + }, + { + "entropy": 5.281121873855591, + "epoch": 7.691880988401412, + "grad_norm": 1.421875, + "learning_rate": 0.00011893029198293512, + "loss": 4.5445, + "mean_token_accuracy": 0.22394832819700242, + "num_tokens": 16857817.0, + "step": 7630 + }, + { + "entropy": 5.33010630607605, + "epoch": 7.696923852748361, + "grad_norm": 1.6015625, + "learning_rate": 0.00011864480887276301, + "loss": 4.6414, + "mean_token_accuracy": 0.22376425415277482, + "num_tokens": 16868784.0, + "step": 7635 + }, + { + "entropy": 5.3465811252594, + "epoch": 7.70196671709531, + "grad_norm": 1.2265625, + "learning_rate": 0.0001183598117181317, + "loss": 4.6156, + "mean_token_accuracy": 0.2192062795162201, + "num_tokens": 16881602.0, + "step": 7640 + }, + { + "entropy": 5.277960157394409, + "epoch": 7.707009581442259, + "grad_norm": 1.28125, + "learning_rate": 0.00011807530140481896, + "loss": 4.5068, + "mean_token_accuracy": 0.22552557289600372, + "num_tokens": 16891821.0, + "step": 7645 + }, + { + "entropy": 5.327262258529663, + "epoch": 7.712052445789208, + "grad_norm": 1.4609375, + "learning_rate": 0.00011779127881708946, + "loss": 4.5091, + "mean_token_accuracy": 0.22946414947509766, + "num_tokens": 16902637.0, + "step": 7650 + }, + { + "entropy": 5.300185346603394, + "epoch": 7.717095310136157, + "grad_norm": 1.4140625, + "learning_rate": 0.0001175077448376918, + "loss": 4.535, + "mean_token_accuracy": 0.2277278035879135, + "num_tokens": 16912359.0, + "step": 7655 + }, + { + "entropy": 5.284604454040528, + "epoch": 7.722138174483106, + "grad_norm": 1.3671875, + "learning_rate": 0.0001172247003478562, + "loss": 4.5577, + "mean_token_accuracy": 0.22572640776634217, + "num_tokens": 16922724.0, + "step": 7660 + }, + { + "entropy": 5.213465547561645, + "epoch": 7.7271810388300555, + "grad_norm": 1.5859375, + "learning_rate": 0.00011694214622729157, + "loss": 4.4421, + "mean_token_accuracy": 0.23288478404283525, + "num_tokens": 16932813.0, + "step": 7665 + }, + { + "entropy": 5.313967657089234, + "epoch": 7.732223903177005, + "grad_norm": 1.3046875, + "learning_rate": 0.00011666008335418241, + "loss": 4.5577, + "mean_token_accuracy": 0.22839430570602418, + "num_tokens": 16943303.0, + "step": 7670 + }, + { + "entropy": 5.247530269622803, + "epoch": 7.737266767523954, + "grad_norm": 1.5234375, + "learning_rate": 0.0001163785126051868, + "loss": 4.5009, + "mean_token_accuracy": 0.23481897562742232, + "num_tokens": 16953634.0, + "step": 7675 + }, + { + "entropy": 5.266384077072144, + "epoch": 7.742309631870903, + "grad_norm": 1.3984375, + "learning_rate": 0.0001160974348554331, + "loss": 4.5315, + "mean_token_accuracy": 0.2252170756459236, + "num_tokens": 16965492.0, + "step": 7680 + }, + { + "entropy": 5.314987421035767, + "epoch": 7.747352496217852, + "grad_norm": 1.328125, + "learning_rate": 0.00011581685097851747, + "loss": 4.5686, + "mean_token_accuracy": 0.22445572167634964, + "num_tokens": 16977371.0, + "step": 7685 + }, + { + "entropy": 5.288613224029541, + "epoch": 7.752395360564801, + "grad_norm": 1.6484375, + "learning_rate": 0.00011553676184650096, + "loss": 4.5362, + "mean_token_accuracy": 0.22426740676164628, + "num_tokens": 16987326.0, + "step": 7690 + }, + { + "entropy": 5.283485555648804, + "epoch": 7.75743822491175, + "grad_norm": 1.328125, + "learning_rate": 0.00011525716832990722, + "loss": 4.5963, + "mean_token_accuracy": 0.22658440172672273, + "num_tokens": 16999139.0, + "step": 7695 + }, + { + "entropy": 5.3257793426513675, + "epoch": 7.762481089258699, + "grad_norm": 1.5234375, + "learning_rate": 0.00011497807129771916, + "loss": 4.5797, + "mean_token_accuracy": 0.22883530110120773, + "num_tokens": 17009448.0, + "step": 7700 + }, + { + "entropy": 5.379080009460449, + "epoch": 7.767523953605648, + "grad_norm": 1.4140625, + "learning_rate": 0.00011469947161737689, + "loss": 4.5861, + "mean_token_accuracy": 0.2224203512072563, + "num_tokens": 17021722.0, + "step": 7705 + }, + { + "entropy": 5.287229251861572, + "epoch": 7.7725668179525975, + "grad_norm": 1.515625, + "learning_rate": 0.00011442137015477464, + "loss": 4.5167, + "mean_token_accuracy": 0.23297096639871598, + "num_tokens": 17031792.0, + "step": 7710 + }, + { + "entropy": 5.319322204589843, + "epoch": 7.777609682299547, + "grad_norm": 1.5859375, + "learning_rate": 0.00011414376777425823, + "loss": 4.5327, + "mean_token_accuracy": 0.22883716523647307, + "num_tokens": 17042055.0, + "step": 7715 + }, + { + "entropy": 5.3068677425384525, + "epoch": 7.782652546646495, + "grad_norm": 1.328125, + "learning_rate": 0.00011386666533862214, + "loss": 4.5914, + "mean_token_accuracy": 0.2252935603260994, + "num_tokens": 17052857.0, + "step": 7720 + }, + { + "entropy": 5.273164224624634, + "epoch": 7.787695410993444, + "grad_norm": 1.5, + "learning_rate": 0.00011359006370910727, + "loss": 4.5537, + "mean_token_accuracy": 0.2305971637368202, + "num_tokens": 17064341.0, + "step": 7725 + }, + { + "entropy": 5.305374336242676, + "epoch": 7.792738275340393, + "grad_norm": 1.34375, + "learning_rate": 0.00011331396374539771, + "loss": 4.5731, + "mean_token_accuracy": 0.222213251888752, + "num_tokens": 17074218.0, + "step": 7730 + }, + { + "entropy": 5.308695316314697, + "epoch": 7.797781139687342, + "grad_norm": 1.4609375, + "learning_rate": 0.00011303836630561861, + "loss": 4.5905, + "mean_token_accuracy": 0.21950939744710923, + "num_tokens": 17085544.0, + "step": 7735 + }, + { + "entropy": 5.406766414642334, + "epoch": 7.802824004034291, + "grad_norm": 1.359375, + "learning_rate": 0.00011276327224633311, + "loss": 4.5959, + "mean_token_accuracy": 0.22596415579319, + "num_tokens": 17097553.0, + "step": 7740 + }, + { + "entropy": 5.344729852676392, + "epoch": 7.80786686838124, + "grad_norm": 1.3828125, + "learning_rate": 0.00011248868242254006, + "loss": 4.5757, + "mean_token_accuracy": 0.22669263333082199, + "num_tokens": 17109567.0, + "step": 7745 + }, + { + "entropy": 5.244525671005249, + "epoch": 7.81290973272819, + "grad_norm": 1.265625, + "learning_rate": 0.00011221459768767074, + "loss": 4.5121, + "mean_token_accuracy": 0.2305280089378357, + "num_tokens": 17121145.0, + "step": 7750 + }, + { + "entropy": 5.3089498519897464, + "epoch": 7.817952597075139, + "grad_norm": 1.3984375, + "learning_rate": 0.00011194101889358702, + "loss": 4.5218, + "mean_token_accuracy": 0.2350049212574959, + "num_tokens": 17132584.0, + "step": 7755 + }, + { + "entropy": 5.229285717010498, + "epoch": 7.822995461422088, + "grad_norm": 1.4453125, + "learning_rate": 0.00011166794689057794, + "loss": 4.5309, + "mean_token_accuracy": 0.2319831818342209, + "num_tokens": 17144886.0, + "step": 7760 + }, + { + "entropy": 5.328343915939331, + "epoch": 7.828038325769037, + "grad_norm": 1.2109375, + "learning_rate": 0.00011139538252735765, + "loss": 4.5736, + "mean_token_accuracy": 0.2246859759092331, + "num_tokens": 17156657.0, + "step": 7765 + }, + { + "entropy": 5.3752885341644285, + "epoch": 7.833081190115986, + "grad_norm": 1.5703125, + "learning_rate": 0.00011112332665106251, + "loss": 4.5368, + "mean_token_accuracy": 0.2304507315158844, + "num_tokens": 17167187.0, + "step": 7770 + }, + { + "entropy": 5.285399866104126, + "epoch": 7.838124054462935, + "grad_norm": 1.5625, + "learning_rate": 0.00011085178010724845, + "loss": 4.5736, + "mean_token_accuracy": 0.22975996285676956, + "num_tokens": 17177286.0, + "step": 7775 + }, + { + "entropy": 5.291580104827881, + "epoch": 7.843166918809884, + "grad_norm": 1.484375, + "learning_rate": 0.00011058074373988842, + "loss": 4.5471, + "mean_token_accuracy": 0.23216841369867325, + "num_tokens": 17188238.0, + "step": 7780 + }, + { + "entropy": 5.266287231445313, + "epoch": 7.848209783156833, + "grad_norm": 1.453125, + "learning_rate": 0.0001103102183913696, + "loss": 4.521, + "mean_token_accuracy": 0.2291943222284317, + "num_tokens": 17198718.0, + "step": 7785 + }, + { + "entropy": 5.2794482707977295, + "epoch": 7.8532526475037825, + "grad_norm": 1.421875, + "learning_rate": 0.00011004020490249116, + "loss": 4.5303, + "mean_token_accuracy": 0.228071728348732, + "num_tokens": 17210967.0, + "step": 7790 + }, + { + "entropy": 5.322843027114868, + "epoch": 7.858295511850731, + "grad_norm": 1.4765625, + "learning_rate": 0.00010977070411246107, + "loss": 4.5905, + "mean_token_accuracy": 0.2273973509669304, + "num_tokens": 17221315.0, + "step": 7795 + }, + { + "entropy": 5.3241020202636715, + "epoch": 7.86333837619768, + "grad_norm": 1.234375, + "learning_rate": 0.00010950171685889413, + "loss": 4.585, + "mean_token_accuracy": 0.22383731305599214, + "num_tokens": 17233288.0, + "step": 7800 + }, + { + "entropy": 5.3411448955535885, + "epoch": 7.868381240544629, + "grad_norm": 1.3984375, + "learning_rate": 0.00010923324397780887, + "loss": 4.6326, + "mean_token_accuracy": 0.22491965144872667, + "num_tokens": 17244615.0, + "step": 7805 + }, + { + "entropy": 5.342803716659546, + "epoch": 7.873424104891578, + "grad_norm": 1.421875, + "learning_rate": 0.00010896528630362531, + "loss": 4.6321, + "mean_token_accuracy": 0.21376804858446122, + "num_tokens": 17257160.0, + "step": 7810 + }, + { + "entropy": 5.293786811828613, + "epoch": 7.878466969238527, + "grad_norm": 1.4609375, + "learning_rate": 0.00010869784466916193, + "loss": 4.5543, + "mean_token_accuracy": 0.23080696016550065, + "num_tokens": 17267031.0, + "step": 7815 + }, + { + "entropy": 5.2784459590911865, + "epoch": 7.883509833585476, + "grad_norm": 1.3828125, + "learning_rate": 0.00010843091990563365, + "loss": 4.5285, + "mean_token_accuracy": 0.22890277504920958, + "num_tokens": 17278646.0, + "step": 7820 + }, + { + "entropy": 5.277114963531494, + "epoch": 7.888552697932425, + "grad_norm": 1.515625, + "learning_rate": 0.00010816451284264864, + "loss": 4.5253, + "mean_token_accuracy": 0.23021158277988435, + "num_tokens": 17289850.0, + "step": 7825 + }, + { + "entropy": 5.268877267837524, + "epoch": 7.8935955622793745, + "grad_norm": 1.453125, + "learning_rate": 0.00010789862430820626, + "loss": 4.4812, + "mean_token_accuracy": 0.23131601512432098, + "num_tokens": 17300310.0, + "step": 7830 + }, + { + "entropy": 5.332101154327392, + "epoch": 7.898638426626324, + "grad_norm": 1.328125, + "learning_rate": 0.00010763325512869422, + "loss": 4.5342, + "mean_token_accuracy": 0.22362216264009477, + "num_tokens": 17311018.0, + "step": 7835 + }, + { + "entropy": 5.323485040664673, + "epoch": 7.903681290973273, + "grad_norm": 1.234375, + "learning_rate": 0.0001073684061288861, + "loss": 4.5738, + "mean_token_accuracy": 0.22401265501976014, + "num_tokens": 17322514.0, + "step": 7840 + }, + { + "entropy": 5.274320220947265, + "epoch": 7.908724155320222, + "grad_norm": 1.4765625, + "learning_rate": 0.00010710407813193859, + "loss": 4.4651, + "mean_token_accuracy": 0.2336328610777855, + "num_tokens": 17333380.0, + "step": 7845 + }, + { + "entropy": 5.331114625930786, + "epoch": 7.913767019667171, + "grad_norm": 1.6640625, + "learning_rate": 0.00010684027195938936, + "loss": 4.5531, + "mean_token_accuracy": 0.22855425477027894, + "num_tokens": 17343634.0, + "step": 7850 + }, + { + "entropy": 5.296746158599854, + "epoch": 7.91880988401412, + "grad_norm": 1.515625, + "learning_rate": 0.0001065769884311539, + "loss": 4.5453, + "mean_token_accuracy": 0.22929067760705948, + "num_tokens": 17354406.0, + "step": 7855 + }, + { + "entropy": 5.304460239410401, + "epoch": 7.923852748361069, + "grad_norm": 1.4453125, + "learning_rate": 0.00010631422836552354, + "loss": 4.5345, + "mean_token_accuracy": 0.2316679462790489, + "num_tokens": 17365744.0, + "step": 7860 + }, + { + "entropy": 5.32832899093628, + "epoch": 7.928895612708018, + "grad_norm": 1.6875, + "learning_rate": 0.00010605199257916269, + "loss": 4.5223, + "mean_token_accuracy": 0.22830361276865005, + "num_tokens": 17374568.0, + "step": 7865 + }, + { + "entropy": 5.287968444824219, + "epoch": 7.9339384770549675, + "grad_norm": 1.609375, + "learning_rate": 0.00010579028188710619, + "loss": 4.5964, + "mean_token_accuracy": 0.23095479160547255, + "num_tokens": 17383758.0, + "step": 7870 + }, + { + "entropy": 5.323292398452759, + "epoch": 7.938981341401917, + "grad_norm": 1.53125, + "learning_rate": 0.00010552909710275693, + "loss": 4.5564, + "mean_token_accuracy": 0.22401752173900605, + "num_tokens": 17394959.0, + "step": 7875 + }, + { + "entropy": 5.272700023651123, + "epoch": 7.944024205748866, + "grad_norm": 1.4609375, + "learning_rate": 0.00010526843903788319, + "loss": 4.5073, + "mean_token_accuracy": 0.227046637237072, + "num_tokens": 17406081.0, + "step": 7880 + }, + { + "entropy": 5.278417110443115, + "epoch": 7.949067070095815, + "grad_norm": 1.375, + "learning_rate": 0.00010500830850261634, + "loss": 4.5866, + "mean_token_accuracy": 0.2223927065730095, + "num_tokens": 17416991.0, + "step": 7885 + }, + { + "entropy": 5.282284498214722, + "epoch": 7.954109934442764, + "grad_norm": 1.5390625, + "learning_rate": 0.00010474870630544797, + "loss": 4.5459, + "mean_token_accuracy": 0.22871990650892257, + "num_tokens": 17428852.0, + "step": 7890 + }, + { + "entropy": 5.3556859493255615, + "epoch": 7.959152798789713, + "grad_norm": 1.5078125, + "learning_rate": 0.00010448963325322772, + "loss": 4.6, + "mean_token_accuracy": 0.22484390884637834, + "num_tokens": 17441392.0, + "step": 7895 + }, + { + "entropy": 5.238609409332275, + "epoch": 7.964195663136661, + "grad_norm": 1.640625, + "learning_rate": 0.00010423109015116065, + "loss": 4.5164, + "mean_token_accuracy": 0.22583680748939514, + "num_tokens": 17451424.0, + "step": 7900 + }, + { + "entropy": 5.3415234088897705, + "epoch": 7.96923852748361, + "grad_norm": 1.2109375, + "learning_rate": 0.00010397307780280477, + "loss": 4.6164, + "mean_token_accuracy": 0.22037048786878585, + "num_tokens": 17462844.0, + "step": 7905 + }, + { + "entropy": 5.39510326385498, + "epoch": 7.9742813918305595, + "grad_norm": 1.5078125, + "learning_rate": 0.00010371559701006825, + "loss": 4.6591, + "mean_token_accuracy": 0.21631602793931962, + "num_tokens": 17474762.0, + "step": 7910 + }, + { + "entropy": 5.3185008525848385, + "epoch": 7.979324256177509, + "grad_norm": 1.4296875, + "learning_rate": 0.00010345864857320747, + "loss": 4.4361, + "mean_token_accuracy": 0.2360628515481949, + "num_tokens": 17484183.0, + "step": 7915 + }, + { + "entropy": 5.312637233734131, + "epoch": 7.984367120524458, + "grad_norm": 1.234375, + "learning_rate": 0.00010320223329082396, + "loss": 4.5867, + "mean_token_accuracy": 0.22681370079517366, + "num_tokens": 17496633.0, + "step": 7920 + }, + { + "entropy": 5.301121377944947, + "epoch": 7.989409984871407, + "grad_norm": 1.25, + "learning_rate": 0.0001029463519598624, + "loss": 4.5431, + "mean_token_accuracy": 0.22839869260787965, + "num_tokens": 17508045.0, + "step": 7925 + }, + { + "entropy": 5.288463926315307, + "epoch": 7.994452849218356, + "grad_norm": 1.4921875, + "learning_rate": 0.00010269100537560789, + "loss": 4.5306, + "mean_token_accuracy": 0.2247989997267723, + "num_tokens": 17521106.0, + "step": 7930 + }, + { + "entropy": 5.356024360656738, + "epoch": 7.999495713565305, + "grad_norm": 1.5390625, + "learning_rate": 0.00010243619433168352, + "loss": 4.6395, + "mean_token_accuracy": 0.2223085269331932, + "num_tokens": 17532544.0, + "step": 7935 + }, + { + "entropy": 5.3616312344868975, + "epoch": 8.00403429147756, + "grad_norm": 1.34375, + "learning_rate": 0.00010218191962004781, + "loss": 4.547, + "mean_token_accuracy": 0.2326621562242508, + "num_tokens": 17542119.0, + "step": 7940 + }, + { + "entropy": 5.311877346038818, + "epoch": 8.009077155824508, + "grad_norm": 1.328125, + "learning_rate": 0.00010192818203099258, + "loss": 4.4358, + "mean_token_accuracy": 0.23654426783323287, + "num_tokens": 17553355.0, + "step": 7945 + }, + { + "entropy": 5.258828115463257, + "epoch": 8.014120020171458, + "grad_norm": 1.53125, + "learning_rate": 0.0001016749823531399, + "loss": 4.3704, + "mean_token_accuracy": 0.24314106851816178, + "num_tokens": 17563234.0, + "step": 7950 + }, + { + "entropy": 5.268916511535645, + "epoch": 8.019162884518407, + "grad_norm": 1.2890625, + "learning_rate": 0.00010142232137344036, + "loss": 4.4797, + "mean_token_accuracy": 0.2338918849825859, + "num_tokens": 17575492.0, + "step": 7955 + }, + { + "entropy": 5.314383029937744, + "epoch": 8.024205748865356, + "grad_norm": 1.4140625, + "learning_rate": 0.00010117019987717005, + "loss": 4.4877, + "mean_token_accuracy": 0.2365739092230797, + "num_tokens": 17585617.0, + "step": 7960 + }, + { + "entropy": 5.3489385604858395, + "epoch": 8.029248613212305, + "grad_norm": 1.3125, + "learning_rate": 0.00010091861864792848, + "loss": 4.5526, + "mean_token_accuracy": 0.22858421206474305, + "num_tokens": 17597120.0, + "step": 7965 + }, + { + "entropy": 5.2441305160522464, + "epoch": 8.034291477559254, + "grad_norm": 1.375, + "learning_rate": 0.0001006675784676358, + "loss": 4.4416, + "mean_token_accuracy": 0.23799983263015748, + "num_tokens": 17608571.0, + "step": 7970 + }, + { + "entropy": 5.3542809009552, + "epoch": 8.039334341906203, + "grad_norm": 1.5859375, + "learning_rate": 0.00010041708011653081, + "loss": 4.5658, + "mean_token_accuracy": 0.2330212876200676, + "num_tokens": 17618849.0, + "step": 7975 + }, + { + "entropy": 5.297583866119385, + "epoch": 8.044377206253152, + "grad_norm": 1.328125, + "learning_rate": 0.00010016712437316799, + "loss": 4.5363, + "mean_token_accuracy": 0.22871415317058563, + "num_tokens": 17629677.0, + "step": 7980 + }, + { + "entropy": 5.313520288467407, + "epoch": 8.049420070600101, + "grad_norm": 1.53125, + "learning_rate": 9.991771201441569e-05, + "loss": 4.5538, + "mean_token_accuracy": 0.2283458888530731, + "num_tokens": 17640896.0, + "step": 7985 + }, + { + "entropy": 5.271265649795533, + "epoch": 8.05446293494705, + "grad_norm": 1.40625, + "learning_rate": 9.966884381545322e-05, + "loss": 4.4709, + "mean_token_accuracy": 0.231563700735569, + "num_tokens": 17651844.0, + "step": 7990 + }, + { + "entropy": 5.3346508026123045, + "epoch": 8.059505799294, + "grad_norm": 1.34375, + "learning_rate": 9.942052054976872e-05, + "loss": 4.5024, + "mean_token_accuracy": 0.23163753002882004, + "num_tokens": 17663155.0, + "step": 7995 + }, + { + "entropy": 5.311872243881226, + "epoch": 8.064548663640949, + "grad_norm": 1.5546875, + "learning_rate": 9.917274298915665e-05, + "loss": 4.4887, + "mean_token_accuracy": 0.2358957439661026, + "num_tokens": 17673459.0, + "step": 8000 + }, + { + "epoch": 8.064548663640949, + "eval_entropy": 5.197940458171543, + "eval_loss": 5.663304328918457, + "eval_mean_token_accuracy": 0.1566847822707118, + "eval_num_tokens": 17673459.0, + "eval_runtime": 2.0274, + "eval_samples_per_second": 1547.776, + "eval_steps_per_second": 193.842, + "step": 8000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4378536119347200.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-8000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-9000/added_tokens.json b/checkpoint-9000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 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..4c122f0 --- /dev/null +++ b/checkpoint-9000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9000/model.safetensors b/checkpoint-9000/model.safetensors new file mode 100644 index 0000000..6caccf1 --- /dev/null +++ b/checkpoint-9000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f70e1d5cd3aaf2f874b3448db7c355eb835ce4874c3054c2019c1d2bff6e1e8b +size 78179408 diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth new file mode 100644 index 0000000..edb23a1 --- /dev/null +++ b/checkpoint-9000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f16a469acd7b7d579d4d8bb581e6bc69d4e99f468954d653e102c3aafaf74b3a +size 14709 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..8514a89 --- /dev/null +++ b/checkpoint-9000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..2a355db --- /dev/null +++ b/checkpoint-9000/trainer_state.json @@ -0,0 +1,18133 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.072617246596067, + "eval_steps": 1000, + "global_step": 9000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + }, + { + "entropy": 5.507882356643677, + "epoch": 4.0373171961674235, + "grad_norm": 1.2890625, + "learning_rate": 0.0003851560183515953, + "loss": 4.9006, + "mean_token_accuracy": 0.19513047337532044, + "num_tokens": 8846883.0, + "step": 4005 + }, + { + "entropy": 5.636105680465699, + "epoch": 4.042360060514373, + "grad_norm": 1.140625, + "learning_rate": 0.000384809971843246, + "loss": 5.0285, + "mean_token_accuracy": 0.18483300358057023, + "num_tokens": 8857592.0, + "step": 4010 + }, + { + "entropy": 5.475295829772949, + "epoch": 4.047402924861321, + "grad_norm": 1.09375, + "learning_rate": 0.000384463584042971, + "loss": 4.8952, + "mean_token_accuracy": 0.19550566673278807, + "num_tokens": 8868527.0, + "step": 4015 + }, + { + "entropy": 5.454197931289673, + "epoch": 4.05244578920827, + "grad_norm": 1.1640625, + "learning_rate": 0.00038411685602735175, + "loss": 4.9249, + "mean_token_accuracy": 0.1891388326883316, + "num_tokens": 8879416.0, + "step": 4020 + }, + { + "entropy": 5.4192150115966795, + "epoch": 4.057488653555219, + "grad_norm": 1.140625, + "learning_rate": 0.00038376978887402687, + "loss": 4.9098, + "mean_token_accuracy": 0.19191017746925354, + "num_tokens": 8889452.0, + "step": 4025 + }, + { + "entropy": 5.370370864868164, + "epoch": 4.062531517902168, + "grad_norm": 1.0625, + "learning_rate": 0.0003834223836616891, + "loss": 4.7748, + "mean_token_accuracy": 0.19761549085378646, + "num_tokens": 8900447.0, + "step": 4030 + }, + { + "entropy": 5.534723281860352, + "epoch": 4.067574382249117, + "grad_norm": 1.1328125, + "learning_rate": 0.00038307464147008176, + "loss": 4.9709, + "mean_token_accuracy": 0.18329481780529022, + "num_tokens": 8911298.0, + "step": 4035 + }, + { + "entropy": 5.439350223541259, + "epoch": 4.072617246596066, + "grad_norm": 1.15625, + "learning_rate": 0.0003827265633799957, + "loss": 4.9157, + "mean_token_accuracy": 0.1890334367752075, + "num_tokens": 8922279.0, + "step": 4040 + }, + { + "entropy": 5.486150932312012, + "epoch": 4.0776601109430155, + "grad_norm": 1.1875, + "learning_rate": 0.0003823781504732657, + "loss": 4.9313, + "mean_token_accuracy": 0.18667482137680053, + "num_tokens": 8934780.0, + "step": 4045 + }, + { + "entropy": 5.514814758300782, + "epoch": 4.082702975289965, + "grad_norm": 1.1484375, + "learning_rate": 0.0003820294038327669, + "loss": 4.8954, + "mean_token_accuracy": 0.1852332517504692, + "num_tokens": 8946114.0, + "step": 4050 + }, + { + "entropy": 5.417545366287231, + "epoch": 4.087745839636914, + "grad_norm": 1.015625, + "learning_rate": 0.0003816803245424121, + "loss": 4.8903, + "mean_token_accuracy": 0.19420945197343825, + "num_tokens": 8957830.0, + "step": 4055 + }, + { + "entropy": 5.4529143333435055, + "epoch": 4.092788703983863, + "grad_norm": 1.15625, + "learning_rate": 0.0003813309136871478, + "loss": 4.9542, + "mean_token_accuracy": 0.19547271430492402, + "num_tokens": 8968312.0, + "step": 4060 + }, + { + "entropy": 5.488467979431152, + "epoch": 4.097831568330812, + "grad_norm": 1.125, + "learning_rate": 0.00038098117235295083, + "loss": 4.8996, + "mean_token_accuracy": 0.1928773194551468, + "num_tokens": 8979502.0, + "step": 4065 + }, + { + "entropy": 5.448248672485351, + "epoch": 4.102874432677761, + "grad_norm": 1.078125, + "learning_rate": 0.0003806311016268254, + "loss": 4.9214, + "mean_token_accuracy": 0.18985837399959565, + "num_tokens": 8991934.0, + "step": 4070 + }, + { + "entropy": 5.45822057723999, + "epoch": 4.10791729702471, + "grad_norm": 1.234375, + "learning_rate": 0.0003802807025967995, + "loss": 4.8492, + "mean_token_accuracy": 0.1978401616215706, + "num_tokens": 9001669.0, + "step": 4075 + }, + { + "entropy": 5.462690544128418, + "epoch": 4.112960161371659, + "grad_norm": 1.3671875, + "learning_rate": 0.0003799299763519213, + "loss": 4.9006, + "mean_token_accuracy": 0.19447372406721114, + "num_tokens": 9011904.0, + "step": 4080 + }, + { + "entropy": 5.428786897659302, + "epoch": 4.118003025718608, + "grad_norm": 1.0859375, + "learning_rate": 0.0003795789239822561, + "loss": 4.91, + "mean_token_accuracy": 0.18757592886686325, + "num_tokens": 9023024.0, + "step": 4085 + }, + { + "entropy": 5.474789571762085, + "epoch": 4.1230458900655576, + "grad_norm": 1.109375, + "learning_rate": 0.0003792275465788826, + "loss": 5.0288, + "mean_token_accuracy": 0.18281726986169816, + "num_tokens": 9035721.0, + "step": 4090 + }, + { + "entropy": 5.549254083633423, + "epoch": 4.128088754412507, + "grad_norm": 1.171875, + "learning_rate": 0.00037887584523389013, + "loss": 4.9429, + "mean_token_accuracy": 0.1963011309504509, + "num_tokens": 9046541.0, + "step": 4095 + }, + { + "entropy": 5.51261191368103, + "epoch": 4.133131618759456, + "grad_norm": 1.28125, + "learning_rate": 0.00037852382104037454, + "loss": 4.9209, + "mean_token_accuracy": 0.1832383990287781, + "num_tokens": 9057696.0, + "step": 4100 + }, + { + "entropy": 5.49119758605957, + "epoch": 4.138174483106404, + "grad_norm": 1.34375, + "learning_rate": 0.00037817147509243497, + "loss": 5.0707, + "mean_token_accuracy": 0.18049182891845703, + "num_tokens": 9070737.0, + "step": 4105 + }, + { + "entropy": 5.50582594871521, + "epoch": 4.143217347453353, + "grad_norm": 1.25, + "learning_rate": 0.0003778188084851709, + "loss": 4.935, + "mean_token_accuracy": 0.19351411312818528, + "num_tokens": 9081582.0, + "step": 4110 + }, + { + "entropy": 5.539880180358887, + "epoch": 4.148260211800302, + "grad_norm": 1.1953125, + "learning_rate": 0.00037746582231467816, + "loss": 5.0069, + "mean_token_accuracy": 0.18012915998697282, + "num_tokens": 9092571.0, + "step": 4115 + }, + { + "entropy": 5.47385425567627, + "epoch": 4.153303076147251, + "grad_norm": 1.234375, + "learning_rate": 0.0003771125176780461, + "loss": 4.9757, + "mean_token_accuracy": 0.18279217034578324, + "num_tokens": 9103172.0, + "step": 4120 + }, + { + "entropy": 5.495398378372192, + "epoch": 4.1583459404942005, + "grad_norm": 1.078125, + "learning_rate": 0.00037675889567335345, + "loss": 4.9165, + "mean_token_accuracy": 0.18877640664577483, + "num_tokens": 9114407.0, + "step": 4125 + }, + { + "entropy": 5.4332798480987545, + "epoch": 4.16338880484115, + "grad_norm": 1.015625, + "learning_rate": 0.00037640495739966573, + "loss": 4.871, + "mean_token_accuracy": 0.19287270307540894, + "num_tokens": 9126175.0, + "step": 4130 + }, + { + "entropy": 5.474513959884644, + "epoch": 4.168431669188099, + "grad_norm": 1.09375, + "learning_rate": 0.00037605070395703124, + "loss": 5.0226, + "mean_token_accuracy": 0.18439341336488724, + "num_tokens": 9139046.0, + "step": 4135 + }, + { + "entropy": 5.486795473098755, + "epoch": 4.173474533535048, + "grad_norm": 1.328125, + "learning_rate": 0.00037569613644647783, + "loss": 4.9218, + "mean_token_accuracy": 0.1871136710047722, + "num_tokens": 9150413.0, + "step": 4140 + }, + { + "entropy": 5.5463550090789795, + "epoch": 4.178517397881997, + "grad_norm": 1.109375, + "learning_rate": 0.0003753412559700094, + "loss": 4.9098, + "mean_token_accuracy": 0.1975122556090355, + "num_tokens": 9161831.0, + "step": 4145 + }, + { + "entropy": 5.437201404571534, + "epoch": 4.183560262228946, + "grad_norm": 1.234375, + "learning_rate": 0.00037498606363060285, + "loss": 4.9258, + "mean_token_accuracy": 0.1963041603565216, + "num_tokens": 9172381.0, + "step": 4150 + }, + { + "entropy": 5.364158773422242, + "epoch": 4.188603126575895, + "grad_norm": 1.1953125, + "learning_rate": 0.0003746305605322041, + "loss": 4.8546, + "mean_token_accuracy": 0.19601071029901504, + "num_tokens": 9182212.0, + "step": 4155 + }, + { + "entropy": 5.442264175415039, + "epoch": 4.193645990922844, + "grad_norm": 1.2734375, + "learning_rate": 0.00037427474777972477, + "loss": 4.9478, + "mean_token_accuracy": 0.19168211966753007, + "num_tokens": 9192207.0, + "step": 4160 + }, + { + "entropy": 5.51265287399292, + "epoch": 4.198688855269793, + "grad_norm": 1.140625, + "learning_rate": 0.00037391862647903943, + "loss": 4.9895, + "mean_token_accuracy": 0.18737609982490538, + "num_tokens": 9203693.0, + "step": 4165 + }, + { + "entropy": 5.489502048492431, + "epoch": 4.2037317196167425, + "grad_norm": 1.0859375, + "learning_rate": 0.00037356219773698106, + "loss": 4.93, + "mean_token_accuracy": 0.19232701063156127, + "num_tokens": 9215201.0, + "step": 4170 + }, + { + "entropy": 5.35007643699646, + "epoch": 4.208774583963692, + "grad_norm": 1.28125, + "learning_rate": 0.00037320546266133854, + "loss": 4.8919, + "mean_token_accuracy": 0.18937314301729202, + "num_tokens": 9227705.0, + "step": 4175 + }, + { + "entropy": 5.513562440872192, + "epoch": 4.213817448310641, + "grad_norm": 1.09375, + "learning_rate": 0.0003728484223608526, + "loss": 5.0298, + "mean_token_accuracy": 0.19036928117275237, + "num_tokens": 9238372.0, + "step": 4180 + }, + { + "entropy": 5.479854774475098, + "epoch": 4.21886031265759, + "grad_norm": 1.0859375, + "learning_rate": 0.00037249107794521286, + "loss": 4.9577, + "mean_token_accuracy": 0.18163685202598573, + "num_tokens": 9250303.0, + "step": 4185 + }, + { + "entropy": 5.421753692626953, + "epoch": 4.223903177004539, + "grad_norm": 1.234375, + "learning_rate": 0.00037213343052505394, + "loss": 5.0321, + "mean_token_accuracy": 0.18563628941774368, + "num_tokens": 9261750.0, + "step": 4190 + }, + { + "entropy": 5.509016704559326, + "epoch": 4.228946041351487, + "grad_norm": 1.0234375, + "learning_rate": 0.0003717754812119523, + "loss": 4.9431, + "mean_token_accuracy": 0.19167808294296265, + "num_tokens": 9273808.0, + "step": 4195 + }, + { + "entropy": 5.454015445709229, + "epoch": 4.233988905698436, + "grad_norm": 1.1171875, + "learning_rate": 0.0003714172311184226, + "loss": 4.9408, + "mean_token_accuracy": 0.18980903923511505, + "num_tokens": 9285099.0, + "step": 4200 + }, + { + "entropy": 5.498741102218628, + "epoch": 4.2390317700453854, + "grad_norm": 1.171875, + "learning_rate": 0.0003710586813579144, + "loss": 5.0256, + "mean_token_accuracy": 0.18340314030647278, + "num_tokens": 9295513.0, + "step": 4205 + }, + { + "entropy": 5.5043713569641115, + "epoch": 4.244074634392335, + "grad_norm": 1.2890625, + "learning_rate": 0.00037069983304480875, + "loss": 5.0181, + "mean_token_accuracy": 0.17525929361581802, + "num_tokens": 9307243.0, + "step": 4210 + }, + { + "entropy": 5.41992335319519, + "epoch": 4.249117498739284, + "grad_norm": 1.21875, + "learning_rate": 0.0003703406872944144, + "loss": 4.9652, + "mean_token_accuracy": 0.1928505852818489, + "num_tokens": 9319289.0, + "step": 4215 + }, + { + "entropy": 5.529471921920776, + "epoch": 4.254160363086233, + "grad_norm": 1.1171875, + "learning_rate": 0.0003699812452229645, + "loss": 5.0786, + "mean_token_accuracy": 0.1831396237015724, + "num_tokens": 9332273.0, + "step": 4220 + }, + { + "entropy": 5.502027702331543, + "epoch": 4.259203227433182, + "grad_norm": 1.3046875, + "learning_rate": 0.00036962150794761354, + "loss": 4.9647, + "mean_token_accuracy": 0.18839758336544038, + "num_tokens": 9343703.0, + "step": 4225 + }, + { + "entropy": 5.409524011611938, + "epoch": 4.264246091780131, + "grad_norm": 1.078125, + "learning_rate": 0.0003692614765864331, + "loss": 4.9535, + "mean_token_accuracy": 0.18380556404590606, + "num_tokens": 9355371.0, + "step": 4230 + }, + { + "entropy": 5.415918779373169, + "epoch": 4.26928895612708, + "grad_norm": 1.0703125, + "learning_rate": 0.00036890115225840904, + "loss": 4.9783, + "mean_token_accuracy": 0.18282967656850815, + "num_tokens": 9367337.0, + "step": 4235 + }, + { + "entropy": 5.495303773880005, + "epoch": 4.274331820474029, + "grad_norm": 1.203125, + "learning_rate": 0.0003685405360834376, + "loss": 4.9964, + "mean_token_accuracy": 0.1882554829120636, + "num_tokens": 9378613.0, + "step": 4240 + }, + { + "entropy": 5.522206258773804, + "epoch": 4.279374684820978, + "grad_norm": 1.09375, + "learning_rate": 0.00036817962918232234, + "loss": 4.9605, + "mean_token_accuracy": 0.18544823825359344, + "num_tokens": 9390576.0, + "step": 4245 + }, + { + "entropy": 5.513616561889648, + "epoch": 4.2844175491679275, + "grad_norm": 1.2734375, + "learning_rate": 0.00036781843267677, + "loss": 4.9929, + "mean_token_accuracy": 0.1839417487382889, + "num_tokens": 9401828.0, + "step": 4250 + }, + { + "entropy": 5.4544768810272215, + "epoch": 4.289460413514877, + "grad_norm": 1.1171875, + "learning_rate": 0.0003674569476893878, + "loss": 4.9674, + "mean_token_accuracy": 0.18869195580482484, + "num_tokens": 9414065.0, + "step": 4255 + }, + { + "entropy": 5.501214170455933, + "epoch": 4.294503277861826, + "grad_norm": 1.28125, + "learning_rate": 0.0003670951753436794, + "loss": 4.9991, + "mean_token_accuracy": 0.193516606092453, + "num_tokens": 9425025.0, + "step": 4260 + }, + { + "entropy": 5.451015043258667, + "epoch": 4.299546142208775, + "grad_norm": 1.2265625, + "learning_rate": 0.00036673311676404163, + "loss": 4.9283, + "mean_token_accuracy": 0.1888926148414612, + "num_tokens": 9435562.0, + "step": 4265 + }, + { + "entropy": 5.448048305511475, + "epoch": 4.304589006555724, + "grad_norm": 1.21875, + "learning_rate": 0.0003663707730757608, + "loss": 4.9323, + "mean_token_accuracy": 0.1817737638950348, + "num_tokens": 9445963.0, + "step": 4270 + }, + { + "entropy": 5.42729001045227, + "epoch": 4.309631870902673, + "grad_norm": 1.203125, + "learning_rate": 0.00036600814540500956, + "loss": 4.9144, + "mean_token_accuracy": 0.18806320428848267, + "num_tokens": 9456810.0, + "step": 4275 + }, + { + "entropy": 5.404821681976318, + "epoch": 4.314674735249622, + "grad_norm": 1.359375, + "learning_rate": 0.000365645234878843, + "loss": 4.944, + "mean_token_accuracy": 0.18662286251783372, + "num_tokens": 9466527.0, + "step": 4280 + }, + { + "entropy": 5.460329341888428, + "epoch": 4.31971759959657, + "grad_norm": 1.1796875, + "learning_rate": 0.00036528204262519545, + "loss": 4.9273, + "mean_token_accuracy": 0.19052704572677612, + "num_tokens": 9477770.0, + "step": 4285 + }, + { + "entropy": 5.477109098434449, + "epoch": 4.3247604639435195, + "grad_norm": 1.2109375, + "learning_rate": 0.0003649185697728768, + "loss": 4.9679, + "mean_token_accuracy": 0.1862930953502655, + "num_tokens": 9487723.0, + "step": 4290 + }, + { + "entropy": 5.513242292404175, + "epoch": 4.329803328290469, + "grad_norm": 1.4375, + "learning_rate": 0.00036455481745156906, + "loss": 4.9169, + "mean_token_accuracy": 0.19376833438873292, + "num_tokens": 9497286.0, + "step": 4295 + }, + { + "entropy": 5.3801576614379885, + "epoch": 4.334846192637418, + "grad_norm": 1.078125, + "learning_rate": 0.0003641907867918228, + "loss": 4.8533, + "mean_token_accuracy": 0.1950397878885269, + "num_tokens": 9508535.0, + "step": 4300 + }, + { + "entropy": 5.381755065917969, + "epoch": 4.339889056984367, + "grad_norm": 1.1328125, + "learning_rate": 0.0003638264789250538, + "loss": 4.9355, + "mean_token_accuracy": 0.18968858420848847, + "num_tokens": 9518165.0, + "step": 4305 + }, + { + "entropy": 5.4629909038543705, + "epoch": 4.344931921331316, + "grad_norm": 1.203125, + "learning_rate": 0.00036346189498353914, + "loss": 4.9332, + "mean_token_accuracy": 0.18796923905611038, + "num_tokens": 9528197.0, + "step": 4310 + }, + { + "entropy": 5.469100570678711, + "epoch": 4.349974785678265, + "grad_norm": 1.15625, + "learning_rate": 0.0003630970361004143, + "loss": 4.9514, + "mean_token_accuracy": 0.1987667128443718, + "num_tokens": 9539024.0, + "step": 4315 + }, + { + "entropy": 5.498983573913574, + "epoch": 4.355017650025214, + "grad_norm": 1.2109375, + "learning_rate": 0.0003627319034096691, + "loss": 4.9047, + "mean_token_accuracy": 0.1949477717280388, + "num_tokens": 9548701.0, + "step": 4320 + }, + { + "entropy": 5.3508720874786375, + "epoch": 4.360060514372163, + "grad_norm": 1.375, + "learning_rate": 0.0003623664980461443, + "loss": 4.8769, + "mean_token_accuracy": 0.19532206803560256, + "num_tokens": 9558576.0, + "step": 4325 + }, + { + "entropy": 5.39421124458313, + "epoch": 4.3651033787191125, + "grad_norm": 1.3828125, + "learning_rate": 0.00036200082114552806, + "loss": 4.9565, + "mean_token_accuracy": 0.18533562421798705, + "num_tokens": 9567464.0, + "step": 4330 + }, + { + "entropy": 5.425723648071289, + "epoch": 4.370146243066062, + "grad_norm": 1.3125, + "learning_rate": 0.00036163487384435294, + "loss": 4.8855, + "mean_token_accuracy": 0.19447901099920273, + "num_tokens": 9578011.0, + "step": 4335 + }, + { + "entropy": 5.549548530578614, + "epoch": 4.375189107413011, + "grad_norm": 1.234375, + "learning_rate": 0.0003612686572799914, + "loss": 5.0191, + "mean_token_accuracy": 0.1840487852692604, + "num_tokens": 9589279.0, + "step": 4340 + }, + { + "entropy": 5.472797155380249, + "epoch": 4.38023197175996, + "grad_norm": 1.203125, + "learning_rate": 0.0003609021725906529, + "loss": 4.9258, + "mean_token_accuracy": 0.18987287431955338, + "num_tokens": 9600170.0, + "step": 4345 + }, + { + "entropy": 5.4490509033203125, + "epoch": 4.385274836106909, + "grad_norm": 1.1484375, + "learning_rate": 0.00036053542091538045, + "loss": 4.925, + "mean_token_accuracy": 0.19032368808984756, + "num_tokens": 9611006.0, + "step": 4350 + }, + { + "entropy": 5.473626661300659, + "epoch": 4.390317700453858, + "grad_norm": 1.328125, + "learning_rate": 0.00036016840339404664, + "loss": 5.0008, + "mean_token_accuracy": 0.18587622791528702, + "num_tokens": 9621645.0, + "step": 4355 + }, + { + "entropy": 5.423802852630615, + "epoch": 4.395360564800807, + "grad_norm": 1.078125, + "learning_rate": 0.0003598011211673505, + "loss": 5.016, + "mean_token_accuracy": 0.18200191259384155, + "num_tokens": 9633221.0, + "step": 4360 + }, + { + "entropy": 5.462389421463013, + "epoch": 4.400403429147756, + "grad_norm": 1.28125, + "learning_rate": 0.0003594335753768135, + "loss": 5.0055, + "mean_token_accuracy": 0.1831961914896965, + "num_tokens": 9644616.0, + "step": 4365 + }, + { + "entropy": 5.469020700454712, + "epoch": 4.405446293494705, + "grad_norm": 1.1953125, + "learning_rate": 0.0003590657671647766, + "loss": 4.939, + "mean_token_accuracy": 0.19091181010007857, + "num_tokens": 9656072.0, + "step": 4370 + }, + { + "entropy": 5.4417582035064695, + "epoch": 4.4104891578416545, + "grad_norm": 1.2734375, + "learning_rate": 0.00035869769767439606, + "loss": 4.9764, + "mean_token_accuracy": 0.18057194650173186, + "num_tokens": 9667252.0, + "step": 4375 + }, + { + "entropy": 5.527696800231934, + "epoch": 4.415532022188603, + "grad_norm": 1.1875, + "learning_rate": 0.0003583293680496404, + "loss": 5.0256, + "mean_token_accuracy": 0.18298113197088242, + "num_tokens": 9677810.0, + "step": 4380 + }, + { + "entropy": 5.482815313339233, + "epoch": 4.420574886535552, + "grad_norm": 1.1328125, + "learning_rate": 0.0003579607794352867, + "loss": 4.9634, + "mean_token_accuracy": 0.19282228946685792, + "num_tokens": 9688950.0, + "step": 4385 + }, + { + "entropy": 5.51417818069458, + "epoch": 4.425617750882501, + "grad_norm": 1.265625, + "learning_rate": 0.00035759193297691674, + "loss": 5.0062, + "mean_token_accuracy": 0.1773902341723442, + "num_tokens": 9699961.0, + "step": 4390 + }, + { + "entropy": 5.441384744644165, + "epoch": 4.43066061522945, + "grad_norm": 1.1328125, + "learning_rate": 0.00035722282982091373, + "loss": 4.968, + "mean_token_accuracy": 0.18881333619356155, + "num_tokens": 9711548.0, + "step": 4395 + }, + { + "entropy": 5.4814496517181395, + "epoch": 4.435703479576399, + "grad_norm": 1.390625, + "learning_rate": 0.0003568534711144591, + "loss": 5.0064, + "mean_token_accuracy": 0.19238194972276687, + "num_tokens": 9722237.0, + "step": 4400 + }, + { + "entropy": 5.461666250228882, + "epoch": 4.440746343923348, + "grad_norm": 1.2734375, + "learning_rate": 0.000356483858005528, + "loss": 5.02, + "mean_token_accuracy": 0.18607597798109055, + "num_tokens": 9733654.0, + "step": 4405 + }, + { + "entropy": 5.396451997756958, + "epoch": 4.445789208270297, + "grad_norm": 1.0859375, + "learning_rate": 0.00035611399164288654, + "loss": 4.8687, + "mean_token_accuracy": 0.19753507524728775, + "num_tokens": 9745012.0, + "step": 4410 + }, + { + "entropy": 5.431181240081787, + "epoch": 4.450832072617247, + "grad_norm": 1.1484375, + "learning_rate": 0.0003557438731760879, + "loss": 4.9509, + "mean_token_accuracy": 0.18538981080055236, + "num_tokens": 9755851.0, + "step": 4415 + }, + { + "entropy": 5.40848217010498, + "epoch": 4.455874936964196, + "grad_norm": 1.171875, + "learning_rate": 0.0003553735037554689, + "loss": 4.8793, + "mean_token_accuracy": 0.19078117311000825, + "num_tokens": 9765652.0, + "step": 4420 + }, + { + "entropy": 5.463437080383301, + "epoch": 4.460917801311145, + "grad_norm": 1.15625, + "learning_rate": 0.0003550028845321461, + "loss": 4.9528, + "mean_token_accuracy": 0.18317756056785583, + "num_tokens": 9776618.0, + "step": 4425 + }, + { + "entropy": 5.437930488586426, + "epoch": 4.465960665658094, + "grad_norm": 1.3515625, + "learning_rate": 0.0003546320166580127, + "loss": 4.912, + "mean_token_accuracy": 0.18995112627744676, + "num_tokens": 9786523.0, + "step": 4430 + }, + { + "entropy": 5.503436660766601, + "epoch": 4.471003530005043, + "grad_norm": 1.1640625, + "learning_rate": 0.00035426090128573464, + "loss": 4.9902, + "mean_token_accuracy": 0.18866927772760392, + "num_tokens": 9797013.0, + "step": 4435 + }, + { + "entropy": 5.505742359161377, + "epoch": 4.476046394351992, + "grad_norm": 1.109375, + "learning_rate": 0.00035388953956874686, + "loss": 4.978, + "mean_token_accuracy": 0.1855326250195503, + "num_tokens": 9807431.0, + "step": 4440 + }, + { + "entropy": 5.459383773803711, + "epoch": 4.481089258698941, + "grad_norm": 1.328125, + "learning_rate": 0.0003535179326612504, + "loss": 5.0067, + "mean_token_accuracy": 0.18672738820314408, + "num_tokens": 9817560.0, + "step": 4445 + }, + { + "entropy": 5.431673955917359, + "epoch": 4.48613212304589, + "grad_norm": 1.0703125, + "learning_rate": 0.00035314608171820787, + "loss": 4.9291, + "mean_token_accuracy": 0.18797255009412767, + "num_tokens": 9828233.0, + "step": 4450 + }, + { + "entropy": 5.450408601760865, + "epoch": 4.4911749873928395, + "grad_norm": 1.3046875, + "learning_rate": 0.00035277398789534075, + "loss": 4.9298, + "mean_token_accuracy": 0.19417595118284225, + "num_tokens": 9838699.0, + "step": 4455 + }, + { + "entropy": 5.42654972076416, + "epoch": 4.496217851739789, + "grad_norm": 1.203125, + "learning_rate": 0.0003524016523491252, + "loss": 4.9502, + "mean_token_accuracy": 0.1807286635041237, + "num_tokens": 9849635.0, + "step": 4460 + }, + { + "entropy": 5.424818992614746, + "epoch": 4.501260716086737, + "grad_norm": 1.1015625, + "learning_rate": 0.00035202907623678865, + "loss": 4.9072, + "mean_token_accuracy": 0.18710703998804093, + "num_tokens": 9861822.0, + "step": 4465 + }, + { + "entropy": 5.43951678276062, + "epoch": 4.506303580433686, + "grad_norm": 1.171875, + "learning_rate": 0.0003516562607163062, + "loss": 4.9867, + "mean_token_accuracy": 0.18685145676136017, + "num_tokens": 9872341.0, + "step": 4470 + }, + { + "entropy": 5.522892475128174, + "epoch": 4.511346444780635, + "grad_norm": 1.2265625, + "learning_rate": 0.0003512832069463971, + "loss": 5.009, + "mean_token_accuracy": 0.18200730085372924, + "num_tokens": 9883078.0, + "step": 4475 + }, + { + "entropy": 5.457088470458984, + "epoch": 4.516389309127584, + "grad_norm": 1.109375, + "learning_rate": 0.00035090991608652125, + "loss": 5.0672, + "mean_token_accuracy": 0.18591289818286896, + "num_tokens": 9894688.0, + "step": 4480 + }, + { + "entropy": 5.392157983779907, + "epoch": 4.521432173474533, + "grad_norm": 1.2890625, + "learning_rate": 0.00035053638929687504, + "loss": 4.8778, + "mean_token_accuracy": 0.18869801312685014, + "num_tokens": 9904409.0, + "step": 4485 + }, + { + "entropy": 5.485831022262573, + "epoch": 4.526475037821482, + "grad_norm": 1.140625, + "learning_rate": 0.0003501626277383884, + "loss": 5.0515, + "mean_token_accuracy": 0.1752968832850456, + "num_tokens": 9915204.0, + "step": 4490 + }, + { + "entropy": 5.5224214553833, + "epoch": 4.5315179021684315, + "grad_norm": 1.2734375, + "learning_rate": 0.000349788632572721, + "loss": 4.9806, + "mean_token_accuracy": 0.18406761437654495, + "num_tokens": 9927354.0, + "step": 4495 + }, + { + "entropy": 5.412999963760376, + "epoch": 4.536560766515381, + "grad_norm": 1.296875, + "learning_rate": 0.0003494144049622582, + "loss": 4.902, + "mean_token_accuracy": 0.1886482670903206, + "num_tokens": 9939009.0, + "step": 4500 + }, + { + "entropy": 5.391222190856934, + "epoch": 4.54160363086233, + "grad_norm": 1.2421875, + "learning_rate": 0.0003490399460701083, + "loss": 5.0147, + "mean_token_accuracy": 0.18851865231990814, + "num_tokens": 9950332.0, + "step": 4505 + }, + { + "entropy": 5.448312902450562, + "epoch": 4.546646495209279, + "grad_norm": 1.1484375, + "learning_rate": 0.000348665257060098, + "loss": 4.922, + "mean_token_accuracy": 0.1947105810046196, + "num_tokens": 9961206.0, + "step": 4510 + }, + { + "entropy": 5.484153413772583, + "epoch": 4.551689359556228, + "grad_norm": 1.2109375, + "learning_rate": 0.0003482903390967695, + "loss": 4.917, + "mean_token_accuracy": 0.19644837379455565, + "num_tokens": 9972272.0, + "step": 4515 + }, + { + "entropy": 5.377922439575196, + "epoch": 4.556732223903177, + "grad_norm": 1.375, + "learning_rate": 0.00034791519334537635, + "loss": 4.9262, + "mean_token_accuracy": 0.19269737154245375, + "num_tokens": 9982189.0, + "step": 4520 + }, + { + "entropy": 5.377587604522705, + "epoch": 4.561775088250126, + "grad_norm": 1.1953125, + "learning_rate": 0.0003475398209718804, + "loss": 4.8724, + "mean_token_accuracy": 0.1955879732966423, + "num_tokens": 9993122.0, + "step": 4525 + }, + { + "entropy": 5.44607400894165, + "epoch": 4.566817952597075, + "grad_norm": 1.140625, + "learning_rate": 0.0003471642231429475, + "loss": 4.8815, + "mean_token_accuracy": 0.19085957556962968, + "num_tokens": 10004043.0, + "step": 4530 + }, + { + "entropy": 5.408733749389649, + "epoch": 4.5718608169440245, + "grad_norm": 1.21875, + "learning_rate": 0.0003467884010259443, + "loss": 4.8907, + "mean_token_accuracy": 0.19512842446565629, + "num_tokens": 10014042.0, + "step": 4535 + }, + { + "entropy": 5.363145399093628, + "epoch": 4.576903681290974, + "grad_norm": 1.1171875, + "learning_rate": 0.00034641235578893476, + "loss": 4.8653, + "mean_token_accuracy": 0.1962948814034462, + "num_tokens": 10025742.0, + "step": 4540 + }, + { + "entropy": 5.402016878128052, + "epoch": 4.581946545637923, + "grad_norm": 1.2421875, + "learning_rate": 0.0003460360886006761, + "loss": 4.9674, + "mean_token_accuracy": 0.18587110042572022, + "num_tokens": 10036727.0, + "step": 4545 + }, + { + "entropy": 5.4374651432037355, + "epoch": 4.586989409984872, + "grad_norm": 1.1953125, + "learning_rate": 0.00034565960063061534, + "loss": 4.9226, + "mean_token_accuracy": 0.18302160054445266, + "num_tokens": 10047246.0, + "step": 4550 + }, + { + "entropy": 5.398792886734009, + "epoch": 4.592032274331821, + "grad_norm": 1.1015625, + "learning_rate": 0.0003452828930488859, + "loss": 4.9253, + "mean_token_accuracy": 0.1938019722700119, + "num_tokens": 10059750.0, + "step": 4555 + }, + { + "entropy": 5.455434322357178, + "epoch": 4.597075138678769, + "grad_norm": 1.0625, + "learning_rate": 0.00034490596702630355, + "loss": 4.9739, + "mean_token_accuracy": 0.1875145599246025, + "num_tokens": 10071431.0, + "step": 4560 + }, + { + "entropy": 5.463915681838989, + "epoch": 4.602118003025718, + "grad_norm": 1.2578125, + "learning_rate": 0.0003445288237343632, + "loss": 4.9644, + "mean_token_accuracy": 0.18932064026594161, + "num_tokens": 10081567.0, + "step": 4565 + }, + { + "entropy": 5.497029161453247, + "epoch": 4.607160867372667, + "grad_norm": 1.1484375, + "learning_rate": 0.00034415146434523463, + "loss": 5.0002, + "mean_token_accuracy": 0.18606244027614594, + "num_tokens": 10092506.0, + "step": 4570 + }, + { + "entropy": 5.480929279327393, + "epoch": 4.6122037317196165, + "grad_norm": 1.296875, + "learning_rate": 0.00034377389003175984, + "loss": 4.9801, + "mean_token_accuracy": 0.1865699604153633, + "num_tokens": 10103896.0, + "step": 4575 + }, + { + "entropy": 5.372171783447266, + "epoch": 4.617246596066566, + "grad_norm": 1.421875, + "learning_rate": 0.0003433961019674483, + "loss": 4.9572, + "mean_token_accuracy": 0.1918066293001175, + "num_tokens": 10113646.0, + "step": 4580 + }, + { + "entropy": 5.419704341888428, + "epoch": 4.622289460413515, + "grad_norm": 1.109375, + "learning_rate": 0.0003430181013264741, + "loss": 5.0208, + "mean_token_accuracy": 0.1797514334321022, + "num_tokens": 10125097.0, + "step": 4585 + }, + { + "entropy": 5.5000776767730715, + "epoch": 4.627332324760464, + "grad_norm": 1.296875, + "learning_rate": 0.0003426398892836719, + "loss": 4.9718, + "mean_token_accuracy": 0.18807972222566605, + "num_tokens": 10137396.0, + "step": 4590 + }, + { + "entropy": 5.483876419067383, + "epoch": 4.632375189107413, + "grad_norm": 1.171875, + "learning_rate": 0.0003422614670145336, + "loss": 5.0777, + "mean_token_accuracy": 0.18274005502462387, + "num_tokens": 10147483.0, + "step": 4595 + }, + { + "entropy": 5.432821559906006, + "epoch": 4.637418053454362, + "grad_norm": 1.1796875, + "learning_rate": 0.0003418828356952041, + "loss": 4.951, + "mean_token_accuracy": 0.18625150471925736, + "num_tokens": 10159693.0, + "step": 4600 + }, + { + "entropy": 5.431114387512207, + "epoch": 4.642460917801311, + "grad_norm": 1.2109375, + "learning_rate": 0.00034150399650247846, + "loss": 4.84, + "mean_token_accuracy": 0.19102736562490463, + "num_tokens": 10170371.0, + "step": 4605 + }, + { + "entropy": 5.411733675003052, + "epoch": 4.64750378214826, + "grad_norm": 1.2578125, + "learning_rate": 0.00034112495061379764, + "loss": 4.9494, + "mean_token_accuracy": 0.19134079068899154, + "num_tokens": 10181487.0, + "step": 4610 + }, + { + "entropy": 5.41342191696167, + "epoch": 4.652546646495209, + "grad_norm": 1.25, + "learning_rate": 0.00034074569920724483, + "loss": 4.9766, + "mean_token_accuracy": 0.18301253765821457, + "num_tokens": 10193386.0, + "step": 4615 + }, + { + "entropy": 5.498093175888061, + "epoch": 4.6575895108421586, + "grad_norm": 1.1328125, + "learning_rate": 0.0003403662434615423, + "loss": 5.0328, + "mean_token_accuracy": 0.18311253786087037, + "num_tokens": 10205531.0, + "step": 4620 + }, + { + "entropy": 5.456884098052979, + "epoch": 4.662632375189108, + "grad_norm": 1.0703125, + "learning_rate": 0.00033998658455604736, + "loss": 4.9797, + "mean_token_accuracy": 0.18898638486862182, + "num_tokens": 10216586.0, + "step": 4625 + }, + { + "entropy": 5.431148862838745, + "epoch": 4.667675239536057, + "grad_norm": 1.171875, + "learning_rate": 0.00033960672367074827, + "loss": 4.8987, + "mean_token_accuracy": 0.19037448465824128, + "num_tokens": 10227330.0, + "step": 4630 + }, + { + "entropy": 5.440126276016235, + "epoch": 4.672718103883006, + "grad_norm": 1.140625, + "learning_rate": 0.0003392266619862619, + "loss": 5.0402, + "mean_token_accuracy": 0.17827739417552949, + "num_tokens": 10238295.0, + "step": 4635 + }, + { + "entropy": 5.449625444412232, + "epoch": 4.677760968229954, + "grad_norm": 1.2109375, + "learning_rate": 0.0003388464006838284, + "loss": 4.9925, + "mean_token_accuracy": 0.19437420070171357, + "num_tokens": 10249011.0, + "step": 4640 + }, + { + "entropy": 5.503025913238526, + "epoch": 4.682803832576903, + "grad_norm": 1.2265625, + "learning_rate": 0.00033846594094530874, + "loss": 4.9525, + "mean_token_accuracy": 0.18661330491304398, + "num_tokens": 10260986.0, + "step": 4645 + }, + { + "entropy": 5.403000020980835, + "epoch": 4.687846696923852, + "grad_norm": 1.109375, + "learning_rate": 0.0003380852839531806, + "loss": 4.9642, + "mean_token_accuracy": 0.18330392688512803, + "num_tokens": 10271557.0, + "step": 4650 + }, + { + "entropy": 5.465458154678345, + "epoch": 4.6928895612708015, + "grad_norm": 1.265625, + "learning_rate": 0.00033770443089053476, + "loss": 4.9798, + "mean_token_accuracy": 0.18609561026096344, + "num_tokens": 10281458.0, + "step": 4655 + }, + { + "entropy": 5.459237432479858, + "epoch": 4.697932425617751, + "grad_norm": 1.078125, + "learning_rate": 0.00033732338294107116, + "loss": 4.9671, + "mean_token_accuracy": 0.1871896654367447, + "num_tokens": 10293336.0, + "step": 4660 + }, + { + "entropy": 5.432980871200561, + "epoch": 4.7029752899647, + "grad_norm": 1.2734375, + "learning_rate": 0.00033694214128909567, + "loss": 4.9673, + "mean_token_accuracy": 0.18993277698755265, + "num_tokens": 10303633.0, + "step": 4665 + }, + { + "entropy": 5.44464521408081, + "epoch": 4.708018154311649, + "grad_norm": 1.2578125, + "learning_rate": 0.00033656070711951633, + "loss": 4.9845, + "mean_token_accuracy": 0.18049918115139008, + "num_tokens": 10314776.0, + "step": 4670 + }, + { + "entropy": 5.4221460819244385, + "epoch": 4.713061018658598, + "grad_norm": 1.09375, + "learning_rate": 0.0003361790816178391, + "loss": 4.9222, + "mean_token_accuracy": 0.19435497671365737, + "num_tokens": 10325792.0, + "step": 4675 + }, + { + "entropy": 5.3949438571929935, + "epoch": 4.718103883005547, + "grad_norm": 1.21875, + "learning_rate": 0.0003357972659701649, + "loss": 5.0, + "mean_token_accuracy": 0.18047935217618943, + "num_tokens": 10339024.0, + "step": 4680 + }, + { + "entropy": 5.466359615325928, + "epoch": 4.723146747352496, + "grad_norm": 1.2421875, + "learning_rate": 0.00033541526136318564, + "loss": 4.9542, + "mean_token_accuracy": 0.18820637315511704, + "num_tokens": 10349198.0, + "step": 4685 + }, + { + "entropy": 5.476608657836914, + "epoch": 4.728189611699445, + "grad_norm": 1.1328125, + "learning_rate": 0.0003350330689841804, + "loss": 5.047, + "mean_token_accuracy": 0.17754877507686614, + "num_tokens": 10360925.0, + "step": 4690 + }, + { + "entropy": 5.471492719650269, + "epoch": 4.733232476046394, + "grad_norm": 1.25, + "learning_rate": 0.0003346506900210118, + "loss": 4.9786, + "mean_token_accuracy": 0.1891571193933487, + "num_tokens": 10372074.0, + "step": 4695 + }, + { + "entropy": 5.40898289680481, + "epoch": 4.7382753403933435, + "grad_norm": 1.2578125, + "learning_rate": 0.0003342681256621227, + "loss": 4.8793, + "mean_token_accuracy": 0.19103499352931977, + "num_tokens": 10384050.0, + "step": 4700 + }, + { + "entropy": 5.43700852394104, + "epoch": 4.743318204740293, + "grad_norm": 1.203125, + "learning_rate": 0.0003338853770965319, + "loss": 4.9256, + "mean_token_accuracy": 0.18500882834196092, + "num_tokens": 10394466.0, + "step": 4705 + }, + { + "entropy": 5.408495807647705, + "epoch": 4.748361069087242, + "grad_norm": 1.1953125, + "learning_rate": 0.00033350244551383064, + "loss": 4.9981, + "mean_token_accuracy": 0.18811080902814864, + "num_tokens": 10405279.0, + "step": 4710 + }, + { + "entropy": 5.397424650192261, + "epoch": 4.753403933434191, + "grad_norm": 1.1796875, + "learning_rate": 0.0003331193321041793, + "loss": 4.9563, + "mean_token_accuracy": 0.1881820723414421, + "num_tokens": 10417504.0, + "step": 4715 + }, + { + "entropy": 5.425117683410645, + "epoch": 4.75844679778114, + "grad_norm": 1.1015625, + "learning_rate": 0.00033273603805830296, + "loss": 4.9777, + "mean_token_accuracy": 0.18997900187969208, + "num_tokens": 10428824.0, + "step": 4720 + }, + { + "entropy": 5.47361912727356, + "epoch": 4.763489662128089, + "grad_norm": 1.140625, + "learning_rate": 0.00033235256456748847, + "loss": 5.0229, + "mean_token_accuracy": 0.1850911021232605, + "num_tokens": 10440164.0, + "step": 4725 + }, + { + "entropy": 5.507453775405883, + "epoch": 4.768532526475038, + "grad_norm": 1.2578125, + "learning_rate": 0.0003319689128235804, + "loss": 4.9309, + "mean_token_accuracy": 0.19020796716213226, + "num_tokens": 10450216.0, + "step": 4730 + }, + { + "entropy": 5.436894702911377, + "epoch": 4.773575390821987, + "grad_norm": 1.390625, + "learning_rate": 0.00033158508401897707, + "loss": 4.9579, + "mean_token_accuracy": 0.19510447680950166, + "num_tokens": 10461521.0, + "step": 4735 + }, + { + "entropy": 5.441084003448486, + "epoch": 4.778618255168936, + "grad_norm": 1.140625, + "learning_rate": 0.0003312010793466273, + "loss": 5.0663, + "mean_token_accuracy": 0.17662031203508377, + "num_tokens": 10473052.0, + "step": 4740 + }, + { + "entropy": 5.386702537536621, + "epoch": 4.783661119515885, + "grad_norm": 1.2734375, + "learning_rate": 0.0003308169000000265, + "loss": 4.9103, + "mean_token_accuracy": 0.19201598614454268, + "num_tokens": 10483197.0, + "step": 4745 + }, + { + "entropy": 5.4234694480896, + "epoch": 4.788703983862834, + "grad_norm": 1.203125, + "learning_rate": 0.0003304325471732129, + "loss": 4.9217, + "mean_token_accuracy": 0.18737069070339202, + "num_tokens": 10493877.0, + "step": 4750 + }, + { + "entropy": 5.445645141601562, + "epoch": 4.793746848209783, + "grad_norm": 1.09375, + "learning_rate": 0.00033004802206076396, + "loss": 4.9896, + "mean_token_accuracy": 0.1867102414369583, + "num_tokens": 10505457.0, + "step": 4755 + }, + { + "entropy": 5.451334476470947, + "epoch": 4.798789712556732, + "grad_norm": 1.25, + "learning_rate": 0.00032966332585779263, + "loss": 5.0065, + "mean_token_accuracy": 0.18804700821638107, + "num_tokens": 10516746.0, + "step": 4760 + }, + { + "entropy": 5.501697826385498, + "epoch": 4.803832576903681, + "grad_norm": 1.265625, + "learning_rate": 0.00032927845975994356, + "loss": 4.987, + "mean_token_accuracy": 0.18748954087495803, + "num_tokens": 10527879.0, + "step": 4765 + }, + { + "entropy": 5.478173398971558, + "epoch": 4.80887544125063, + "grad_norm": 1.25, + "learning_rate": 0.00032889342496338953, + "loss": 5.043, + "mean_token_accuracy": 0.18037958443164825, + "num_tokens": 10539729.0, + "step": 4770 + }, + { + "entropy": 5.456065368652344, + "epoch": 4.813918305597579, + "grad_norm": 1.1484375, + "learning_rate": 0.0003285082226648273, + "loss": 5.061, + "mean_token_accuracy": 0.18717390894889832, + "num_tokens": 10551343.0, + "step": 4775 + }, + { + "entropy": 5.458584022521973, + "epoch": 4.8189611699445285, + "grad_norm": 1.1875, + "learning_rate": 0.0003281228540614749, + "loss": 4.9506, + "mean_token_accuracy": 0.19011957943439484, + "num_tokens": 10562362.0, + "step": 4780 + }, + { + "entropy": 5.431289768218994, + "epoch": 4.824004034291478, + "grad_norm": 1.1171875, + "learning_rate": 0.00032773732035106657, + "loss": 4.9544, + "mean_token_accuracy": 0.18818462193012236, + "num_tokens": 10574203.0, + "step": 4785 + }, + { + "entropy": 5.452210330963135, + "epoch": 4.829046898638427, + "grad_norm": 1.1796875, + "learning_rate": 0.00032735162273185006, + "loss": 4.9991, + "mean_token_accuracy": 0.17896709591150284, + "num_tokens": 10585732.0, + "step": 4790 + }, + { + "entropy": 5.494658279418945, + "epoch": 4.834089762985376, + "grad_norm": 1.1953125, + "learning_rate": 0.0003269657624025824, + "loss": 5.0101, + "mean_token_accuracy": 0.19213832318782806, + "num_tokens": 10596414.0, + "step": 4795 + }, + { + "entropy": 5.473741817474365, + "epoch": 4.839132627332325, + "grad_norm": 1.03125, + "learning_rate": 0.0003265797405625265, + "loss": 4.947, + "mean_token_accuracy": 0.189757277071476, + "num_tokens": 10608893.0, + "step": 4800 + }, + { + "entropy": 5.353061628341675, + "epoch": 4.844175491679274, + "grad_norm": 1.2421875, + "learning_rate": 0.0003261935584114471, + "loss": 4.869, + "mean_token_accuracy": 0.19499963223934175, + "num_tokens": 10619229.0, + "step": 4805 + }, + { + "entropy": 5.358573865890503, + "epoch": 4.849218356026223, + "grad_norm": 1.0703125, + "learning_rate": 0.0003258072171496072, + "loss": 4.9867, + "mean_token_accuracy": 0.18436321318149568, + "num_tokens": 10630811.0, + "step": 4810 + }, + { + "entropy": 5.45855302810669, + "epoch": 4.854261220373172, + "grad_norm": 1.3203125, + "learning_rate": 0.0003254207179777644, + "loss": 4.9808, + "mean_token_accuracy": 0.19197733849287033, + "num_tokens": 10641191.0, + "step": 4815 + }, + { + "entropy": 5.453788089752197, + "epoch": 4.8593040847201205, + "grad_norm": 1.265625, + "learning_rate": 0.000325034062097167, + "loss": 5.0329, + "mean_token_accuracy": 0.18242633044719697, + "num_tokens": 10652019.0, + "step": 4820 + }, + { + "entropy": 5.456726026535034, + "epoch": 4.86434694906707, + "grad_norm": 1.140625, + "learning_rate": 0.00032464725070955046, + "loss": 5.0328, + "mean_token_accuracy": 0.18062737584114075, + "num_tokens": 10664820.0, + "step": 4825 + }, + { + "entropy": 5.48663558959961, + "epoch": 4.869389813414019, + "grad_norm": 1.296875, + "learning_rate": 0.00032426028501713347, + "loss": 4.9731, + "mean_token_accuracy": 0.18408883810043336, + "num_tokens": 10676343.0, + "step": 4830 + }, + { + "entropy": 5.445742988586426, + "epoch": 4.874432677760968, + "grad_norm": 1.25, + "learning_rate": 0.00032387316622261425, + "loss": 5.0056, + "mean_token_accuracy": 0.18338582515716553, + "num_tokens": 10687464.0, + "step": 4835 + }, + { + "entropy": 5.407337713241577, + "epoch": 4.879475542107917, + "grad_norm": 1.1328125, + "learning_rate": 0.00032348589552916703, + "loss": 4.9456, + "mean_token_accuracy": 0.18678104132413864, + "num_tokens": 10698796.0, + "step": 4840 + }, + { + "entropy": 5.440946578979492, + "epoch": 4.884518406454866, + "grad_norm": 1.21875, + "learning_rate": 0.0003230984741404381, + "loss": 4.9428, + "mean_token_accuracy": 0.18648777455091475, + "num_tokens": 10708759.0, + "step": 4845 + }, + { + "entropy": 5.520267152786255, + "epoch": 4.889561270801815, + "grad_norm": 1.3671875, + "learning_rate": 0.0003227109032605419, + "loss": 4.9954, + "mean_token_accuracy": 0.18635909855365754, + "num_tokens": 10718518.0, + "step": 4850 + }, + { + "entropy": 5.474165201187134, + "epoch": 4.894604135148764, + "grad_norm": 1.171875, + "learning_rate": 0.0003223231840940578, + "loss": 5.0391, + "mean_token_accuracy": 0.18102305382490158, + "num_tokens": 10730091.0, + "step": 4855 + }, + { + "entropy": 5.400430488586426, + "epoch": 4.8996469994957135, + "grad_norm": 1.2578125, + "learning_rate": 0.00032193531784602595, + "loss": 4.9725, + "mean_token_accuracy": 0.18741223067045212, + "num_tokens": 10739664.0, + "step": 4860 + }, + { + "entropy": 5.423764419555664, + "epoch": 4.904689863842663, + "grad_norm": 1.3359375, + "learning_rate": 0.00032154730572194346, + "loss": 4.9291, + "mean_token_accuracy": 0.19145375043153762, + "num_tokens": 10749573.0, + "step": 4865 + }, + { + "entropy": 5.503514146804809, + "epoch": 4.909732728189612, + "grad_norm": 1.2734375, + "learning_rate": 0.000321159148927761, + "loss": 5.0556, + "mean_token_accuracy": 0.18899090141057967, + "num_tokens": 10760455.0, + "step": 4870 + }, + { + "entropy": 5.5097449779510494, + "epoch": 4.914775592536561, + "grad_norm": 1.3125, + "learning_rate": 0.000320770848669879, + "loss": 5.0187, + "mean_token_accuracy": 0.18463164716959, + "num_tokens": 10771845.0, + "step": 4875 + }, + { + "entropy": 5.438835954666137, + "epoch": 4.91981845688351, + "grad_norm": 1.171875, + "learning_rate": 0.00032038240615514345, + "loss": 4.9946, + "mean_token_accuracy": 0.18855448365211486, + "num_tokens": 10783812.0, + "step": 4880 + }, + { + "entropy": 5.403696203231812, + "epoch": 4.924861321230459, + "grad_norm": 1.3125, + "learning_rate": 0.0003199938225908426, + "loss": 4.9135, + "mean_token_accuracy": 0.18758562356233596, + "num_tokens": 10794390.0, + "step": 4885 + }, + { + "entropy": 5.430738544464111, + "epoch": 4.929904185577408, + "grad_norm": 1.140625, + "learning_rate": 0.0003196050991847033, + "loss": 4.9578, + "mean_token_accuracy": 0.18548450171947478, + "num_tokens": 10805521.0, + "step": 4890 + }, + { + "entropy": 5.4192510604858395, + "epoch": 4.934947049924357, + "grad_norm": 1.15625, + "learning_rate": 0.0003192162371448868, + "loss": 4.9664, + "mean_token_accuracy": 0.1857212409377098, + "num_tokens": 10816265.0, + "step": 4895 + }, + { + "entropy": 5.4131299495697025, + "epoch": 4.939989914271306, + "grad_norm": 1.28125, + "learning_rate": 0.00031882723767998517, + "loss": 4.9921, + "mean_token_accuracy": 0.18737585991621017, + "num_tokens": 10826285.0, + "step": 4900 + }, + { + "entropy": 5.41847596168518, + "epoch": 4.9450327786182555, + "grad_norm": 1.2578125, + "learning_rate": 0.00031843810199901795, + "loss": 4.9347, + "mean_token_accuracy": 0.19147606939077377, + "num_tokens": 10836817.0, + "step": 4905 + }, + { + "entropy": 5.45005612373352, + "epoch": 4.950075642965205, + "grad_norm": 1.171875, + "learning_rate": 0.0003180488313114277, + "loss": 4.9638, + "mean_token_accuracy": 0.18842111229896547, + "num_tokens": 10848186.0, + "step": 4910 + }, + { + "entropy": 5.374664354324341, + "epoch": 4.955118507312154, + "grad_norm": 1.234375, + "learning_rate": 0.0003176594268270766, + "loss": 4.9524, + "mean_token_accuracy": 0.19444430619478226, + "num_tokens": 10858851.0, + "step": 4915 + }, + { + "entropy": 5.424822568893433, + "epoch": 4.960161371659103, + "grad_norm": 1.1171875, + "learning_rate": 0.00031726988975624293, + "loss": 4.9957, + "mean_token_accuracy": 0.18679312616586685, + "num_tokens": 10870242.0, + "step": 4920 + }, + { + "entropy": 5.4419248580932615, + "epoch": 4.965204236006051, + "grad_norm": 1.2734375, + "learning_rate": 0.00031688022130961675, + "loss": 4.9299, + "mean_token_accuracy": 0.18993133008480073, + "num_tokens": 10881580.0, + "step": 4925 + }, + { + "entropy": 5.439469051361084, + "epoch": 4.970247100353, + "grad_norm": 1.1484375, + "learning_rate": 0.0003164904226982967, + "loss": 4.9934, + "mean_token_accuracy": 0.19487899541854858, + "num_tokens": 10893140.0, + "step": 4930 + }, + { + "entropy": 5.448909187316895, + "epoch": 4.975289964699949, + "grad_norm": 1.1328125, + "learning_rate": 0.00031610049513378574, + "loss": 4.9945, + "mean_token_accuracy": 0.1908086955547333, + "num_tokens": 10904373.0, + "step": 4935 + }, + { + "entropy": 5.507550525665283, + "epoch": 4.9803328290468984, + "grad_norm": 1.328125, + "learning_rate": 0.00031571043982798786, + "loss": 5.0025, + "mean_token_accuracy": 0.18820565193891525, + "num_tokens": 10914155.0, + "step": 4940 + }, + { + "entropy": 5.516139650344849, + "epoch": 4.985375693393848, + "grad_norm": 1.1796875, + "learning_rate": 0.0003153202579932039, + "loss": 5.009, + "mean_token_accuracy": 0.1866231933236122, + "num_tokens": 10926325.0, + "step": 4945 + }, + { + "entropy": 5.493792581558227, + "epoch": 4.990418557740797, + "grad_norm": 1.15625, + "learning_rate": 0.00031492995084212794, + "loss": 5.0369, + "mean_token_accuracy": 0.18808876425027848, + "num_tokens": 10938799.0, + "step": 4950 + }, + { + "entropy": 5.443079853057862, + "epoch": 4.995461422087746, + "grad_norm": 1.1796875, + "learning_rate": 0.0003145395195878437, + "loss": 4.8587, + "mean_token_accuracy": 0.19427645206451416, + "num_tokens": 10949918.0, + "step": 4955 + }, + { + "entropy": 5.373980893029107, + "epoch": 5.0, + "grad_norm": 2.296875, + "learning_rate": 0.00031414896544382047, + "loss": 4.8479, + "mean_token_accuracy": 0.1932825760708915, + "num_tokens": 10958200.0, + "step": 4960 + }, + { + "entropy": 5.377087545394898, + "epoch": 5.005042864346949, + "grad_norm": 1.1796875, + "learning_rate": 0.0003137582896239095, + "loss": 4.7798, + "mean_token_accuracy": 0.19978601783514022, + "num_tokens": 10969020.0, + "step": 4965 + }, + { + "entropy": 5.3690825462341305, + "epoch": 5.010085728693898, + "grad_norm": 1.1796875, + "learning_rate": 0.0003133674933423404, + "loss": 4.6958, + "mean_token_accuracy": 0.21049367189407348, + "num_tokens": 10978191.0, + "step": 4970 + }, + { + "entropy": 5.39783124923706, + "epoch": 5.015128593040847, + "grad_norm": 1.1171875, + "learning_rate": 0.00031297657781371687, + "loss": 4.769, + "mean_token_accuracy": 0.20987659692764282, + "num_tokens": 10989022.0, + "step": 4975 + }, + { + "entropy": 5.46621470451355, + "epoch": 5.0201714573877965, + "grad_norm": 1.25, + "learning_rate": 0.0003125855442530135, + "loss": 4.8209, + "mean_token_accuracy": 0.20026374459266663, + "num_tokens": 11002727.0, + "step": 4980 + }, + { + "entropy": 5.405496120452881, + "epoch": 5.025214321734746, + "grad_norm": 1.078125, + "learning_rate": 0.00031219439387557155, + "loss": 4.762, + "mean_token_accuracy": 0.2060738682746887, + "num_tokens": 11013723.0, + "step": 4985 + }, + { + "entropy": 5.470185852050781, + "epoch": 5.030257186081695, + "grad_norm": 1.1640625, + "learning_rate": 0.00031180312789709535, + "loss": 4.7332, + "mean_token_accuracy": 0.20676991194486619, + "num_tokens": 11024676.0, + "step": 4990 + }, + { + "entropy": 5.4253129959106445, + "epoch": 5.035300050428644, + "grad_norm": 1.2265625, + "learning_rate": 0.0003114117475336487, + "loss": 4.7794, + "mean_token_accuracy": 0.2019949272274971, + "num_tokens": 11036314.0, + "step": 4995 + }, + { + "entropy": 5.399463033676147, + "epoch": 5.040342914775593, + "grad_norm": 1.3046875, + "learning_rate": 0.0003110202540016509, + "loss": 4.7499, + "mean_token_accuracy": 0.2073090746998787, + "num_tokens": 11046321.0, + "step": 5000 + }, + { + "epoch": 5.040342914775593, + "eval_entropy": 5.259037116708343, + "eval_loss": 5.665579795837402, + "eval_mean_token_accuracy": 0.1547874487538374, + "eval_num_tokens": 11046321.0, + "eval_runtime": 2.0489, + "eval_samples_per_second": 1531.555, + "eval_steps_per_second": 191.81, + "step": 5000 + }, + { + "entropy": 5.422780227661133, + "epoch": 5.045385779122542, + "grad_norm": 1.0546875, + "learning_rate": 0.00031062864851787267, + "loss": 4.7483, + "mean_token_accuracy": 0.20660395473241805, + "num_tokens": 11059021.0, + "step": 5005 + }, + { + "entropy": 5.413686323165893, + "epoch": 5.05042864346949, + "grad_norm": 1.390625, + "learning_rate": 0.00031023693229943294, + "loss": 4.7311, + "mean_token_accuracy": 0.20787329226732254, + "num_tokens": 11069785.0, + "step": 5010 + }, + { + "entropy": 5.442879867553711, + "epoch": 5.055471507816439, + "grad_norm": 1.328125, + "learning_rate": 0.0003098451065637948, + "loss": 4.789, + "mean_token_accuracy": 0.20268239378929137, + "num_tokens": 11079439.0, + "step": 5015 + }, + { + "entropy": 5.377065849304199, + "epoch": 5.0605143721633885, + "grad_norm": 1.2265625, + "learning_rate": 0.00030945317252876163, + "loss": 4.7887, + "mean_token_accuracy": 0.20264918059110643, + "num_tokens": 11089933.0, + "step": 5020 + }, + { + "entropy": 5.395506191253662, + "epoch": 5.065557236510338, + "grad_norm": 1.21875, + "learning_rate": 0.00030906113141247353, + "loss": 4.7127, + "mean_token_accuracy": 0.2048274829983711, + "num_tokens": 11099743.0, + "step": 5025 + }, + { + "entropy": 5.2882936000823975, + "epoch": 5.070600100857287, + "grad_norm": 1.4140625, + "learning_rate": 0.00030866898443340324, + "loss": 4.66, + "mean_token_accuracy": 0.21423418521881105, + "num_tokens": 11109993.0, + "step": 5030 + }, + { + "entropy": 5.454429244995117, + "epoch": 5.075642965204236, + "grad_norm": 1.234375, + "learning_rate": 0.0003082767328103527, + "loss": 4.7316, + "mean_token_accuracy": 0.19962920844554902, + "num_tokens": 11121071.0, + "step": 5035 + }, + { + "entropy": 5.468168592453003, + "epoch": 5.080685829551185, + "grad_norm": 1.34375, + "learning_rate": 0.00030788437776244895, + "loss": 4.707, + "mean_token_accuracy": 0.21180965304374694, + "num_tokens": 11130402.0, + "step": 5040 + }, + { + "entropy": 5.363940095901489, + "epoch": 5.085728693898134, + "grad_norm": 1.1875, + "learning_rate": 0.0003074919205091405, + "loss": 4.815, + "mean_token_accuracy": 0.200840762257576, + "num_tokens": 11141272.0, + "step": 5045 + }, + { + "entropy": 5.448993110656739, + "epoch": 5.090771558245083, + "grad_norm": 1.28125, + "learning_rate": 0.0003070993622701936, + "loss": 4.7531, + "mean_token_accuracy": 0.2033784419298172, + "num_tokens": 11152254.0, + "step": 5050 + }, + { + "entropy": 5.383047008514405, + "epoch": 5.095814422592032, + "grad_norm": 1.4296875, + "learning_rate": 0.00030670670426568837, + "loss": 4.6806, + "mean_token_accuracy": 0.21028010547161102, + "num_tokens": 11162848.0, + "step": 5055 + }, + { + "entropy": 5.356310844421387, + "epoch": 5.100857286938981, + "grad_norm": 1.265625, + "learning_rate": 0.0003063139477160147, + "loss": 4.6863, + "mean_token_accuracy": 0.20928248167037963, + "num_tokens": 11173896.0, + "step": 5060 + }, + { + "entropy": 5.398014307022095, + "epoch": 5.1059001512859306, + "grad_norm": 1.2734375, + "learning_rate": 0.00030592109384186935, + "loss": 4.7307, + "mean_token_accuracy": 0.21019263416528702, + "num_tokens": 11184423.0, + "step": 5065 + }, + { + "entropy": 5.388689661026001, + "epoch": 5.11094301563288, + "grad_norm": 1.3125, + "learning_rate": 0.000305528143864251, + "loss": 4.7624, + "mean_token_accuracy": 0.2092597559094429, + "num_tokens": 11195128.0, + "step": 5070 + }, + { + "entropy": 5.373467206954956, + "epoch": 5.115985879979829, + "grad_norm": 1.28125, + "learning_rate": 0.00030513509900445725, + "loss": 4.7285, + "mean_token_accuracy": 0.21020106822252274, + "num_tokens": 11205628.0, + "step": 5075 + }, + { + "entropy": 5.383992910385132, + "epoch": 5.121028744326778, + "grad_norm": 1.3828125, + "learning_rate": 0.00030474196048408065, + "loss": 4.7651, + "mean_token_accuracy": 0.20403726100921632, + "num_tokens": 11216835.0, + "step": 5080 + }, + { + "entropy": 5.391399335861206, + "epoch": 5.126071608673727, + "grad_norm": 1.4140625, + "learning_rate": 0.0003043487295250049, + "loss": 4.7863, + "mean_token_accuracy": 0.19799292981624603, + "num_tokens": 11228763.0, + "step": 5085 + }, + { + "entropy": 5.366147708892822, + "epoch": 5.131114473020676, + "grad_norm": 1.3203125, + "learning_rate": 0.0003039554073494006, + "loss": 4.7319, + "mean_token_accuracy": 0.21267775297164918, + "num_tokens": 11239432.0, + "step": 5090 + }, + { + "entropy": 5.470732545852661, + "epoch": 5.136157337367624, + "grad_norm": 1.15625, + "learning_rate": 0.0003035619951797224, + "loss": 4.8514, + "mean_token_accuracy": 0.1952908530831337, + "num_tokens": 11249618.0, + "step": 5095 + }, + { + "entropy": 5.432192802429199, + "epoch": 5.1412002017145735, + "grad_norm": 1.234375, + "learning_rate": 0.0003031684942387043, + "loss": 4.7746, + "mean_token_accuracy": 0.2070817768573761, + "num_tokens": 11260359.0, + "step": 5100 + }, + { + "entropy": 5.400609254837036, + "epoch": 5.146243066061523, + "grad_norm": 1.1328125, + "learning_rate": 0.00030277490574935633, + "loss": 4.8143, + "mean_token_accuracy": 0.1999165177345276, + "num_tokens": 11272003.0, + "step": 5105 + }, + { + "entropy": 5.39234561920166, + "epoch": 5.151285930408472, + "grad_norm": 1.1796875, + "learning_rate": 0.0003023812309349605, + "loss": 4.7549, + "mean_token_accuracy": 0.20627606362104417, + "num_tokens": 11283649.0, + "step": 5110 + }, + { + "entropy": 5.5274261951446535, + "epoch": 5.156328794755421, + "grad_norm": 1.1953125, + "learning_rate": 0.0003019874710190674, + "loss": 4.8718, + "mean_token_accuracy": 0.1988748401403427, + "num_tokens": 11295844.0, + "step": 5115 + }, + { + "entropy": 5.449365043640137, + "epoch": 5.16137165910237, + "grad_norm": 1.203125, + "learning_rate": 0.0003015936272254918, + "loss": 4.7737, + "mean_token_accuracy": 0.2059719055891037, + "num_tokens": 11306676.0, + "step": 5120 + }, + { + "entropy": 5.384851932525635, + "epoch": 5.166414523449319, + "grad_norm": 1.234375, + "learning_rate": 0.0003011997007783094, + "loss": 4.7456, + "mean_token_accuracy": 0.20340470224618912, + "num_tokens": 11317801.0, + "step": 5125 + }, + { + "entropy": 5.382043647766113, + "epoch": 5.171457387796268, + "grad_norm": 1.296875, + "learning_rate": 0.0003008056929018525, + "loss": 4.7306, + "mean_token_accuracy": 0.20402662605047225, + "num_tokens": 11327530.0, + "step": 5130 + }, + { + "entropy": 5.5060724258422855, + "epoch": 5.176500252143217, + "grad_norm": 1.3515625, + "learning_rate": 0.00030041160482070686, + "loss": 4.7442, + "mean_token_accuracy": 0.20388694554567338, + "num_tokens": 11338784.0, + "step": 5135 + }, + { + "entropy": 5.406298446655273, + "epoch": 5.181543116490166, + "grad_norm": 1.4765625, + "learning_rate": 0.00030001743775970714, + "loss": 4.7815, + "mean_token_accuracy": 0.20606305152177812, + "num_tokens": 11348666.0, + "step": 5140 + }, + { + "entropy": 5.387162542343139, + "epoch": 5.1865859808371155, + "grad_norm": 1.4140625, + "learning_rate": 0.00029962319294393383, + "loss": 4.73, + "mean_token_accuracy": 0.2070406809449196, + "num_tokens": 11358247.0, + "step": 5145 + }, + { + "entropy": 5.343744802474975, + "epoch": 5.191628845184065, + "grad_norm": 1.4140625, + "learning_rate": 0.0002992288715987088, + "loss": 4.754, + "mean_token_accuracy": 0.20762002915143968, + "num_tokens": 11369897.0, + "step": 5150 + }, + { + "entropy": 5.429714822769165, + "epoch": 5.196671709531014, + "grad_norm": 1.1796875, + "learning_rate": 0.0002988344749495919, + "loss": 4.8356, + "mean_token_accuracy": 0.20064053535461426, + "num_tokens": 11381747.0, + "step": 5155 + }, + { + "entropy": 5.450630521774292, + "epoch": 5.201714573877963, + "grad_norm": 1.1796875, + "learning_rate": 0.00029844000422237714, + "loss": 4.8277, + "mean_token_accuracy": 0.19658990800380707, + "num_tokens": 11393725.0, + "step": 5160 + }, + { + "entropy": 5.3230180740356445, + "epoch": 5.206757438224912, + "grad_norm": 1.3515625, + "learning_rate": 0.00029804546064308854, + "loss": 4.7771, + "mean_token_accuracy": 0.2036718338727951, + "num_tokens": 11405223.0, + "step": 5165 + }, + { + "entropy": 5.4090415954589846, + "epoch": 5.211800302571861, + "grad_norm": 1.1171875, + "learning_rate": 0.00029765084543797657, + "loss": 4.7617, + "mean_token_accuracy": 0.20066658705472945, + "num_tokens": 11416334.0, + "step": 5170 + }, + { + "entropy": 5.387953090667724, + "epoch": 5.21684316691881, + "grad_norm": 1.28125, + "learning_rate": 0.0002972561598335145, + "loss": 4.7496, + "mean_token_accuracy": 0.20192946195602418, + "num_tokens": 11427202.0, + "step": 5175 + }, + { + "entropy": 5.42350058555603, + "epoch": 5.221886031265759, + "grad_norm": 1.2734375, + "learning_rate": 0.0002968614050563943, + "loss": 4.8457, + "mean_token_accuracy": 0.19637791067361832, + "num_tokens": 11438302.0, + "step": 5180 + }, + { + "entropy": 5.411188840866089, + "epoch": 5.2269288956127085, + "grad_norm": 1.1875, + "learning_rate": 0.0002964665823335229, + "loss": 4.7577, + "mean_token_accuracy": 0.20150525718927384, + "num_tokens": 11450551.0, + "step": 5185 + }, + { + "entropy": 5.3604906558990475, + "epoch": 5.231971759959657, + "grad_norm": 1.171875, + "learning_rate": 0.00029607169289201836, + "loss": 4.741, + "mean_token_accuracy": 0.21597910523414612, + "num_tokens": 11460907.0, + "step": 5190 + }, + { + "entropy": 5.375416374206543, + "epoch": 5.237014624306606, + "grad_norm": 1.2109375, + "learning_rate": 0.00029567673795920625, + "loss": 4.7224, + "mean_token_accuracy": 0.207424658536911, + "num_tokens": 11472290.0, + "step": 5195 + }, + { + "entropy": 5.276330804824829, + "epoch": 5.242057488653555, + "grad_norm": 1.171875, + "learning_rate": 0.00029528171876261555, + "loss": 4.7787, + "mean_token_accuracy": 0.20905390083789827, + "num_tokens": 11484946.0, + "step": 5200 + }, + { + "entropy": 5.454510831832886, + "epoch": 5.247100353000504, + "grad_norm": 1.2734375, + "learning_rate": 0.0002948866365299751, + "loss": 4.8389, + "mean_token_accuracy": 0.1950281471014023, + "num_tokens": 11494845.0, + "step": 5205 + }, + { + "entropy": 5.511236238479614, + "epoch": 5.252143217347453, + "grad_norm": 1.203125, + "learning_rate": 0.0002944914924892096, + "loss": 4.852, + "mean_token_accuracy": 0.19927518665790558, + "num_tokens": 11506533.0, + "step": 5210 + }, + { + "entropy": 5.375716781616211, + "epoch": 5.257186081694402, + "grad_norm": 1.2265625, + "learning_rate": 0.0002940962878684358, + "loss": 4.7628, + "mean_token_accuracy": 0.20310329794883727, + "num_tokens": 11516985.0, + "step": 5215 + }, + { + "entropy": 5.324270009994507, + "epoch": 5.262228946041351, + "grad_norm": 1.515625, + "learning_rate": 0.0002937010238959588, + "loss": 4.7455, + "mean_token_accuracy": 0.20899288654327391, + "num_tokens": 11526203.0, + "step": 5220 + }, + { + "entropy": 5.351016664505005, + "epoch": 5.2672718103883005, + "grad_norm": 1.4609375, + "learning_rate": 0.0002933057018002681, + "loss": 4.8466, + "mean_token_accuracy": 0.2013192817568779, + "num_tokens": 11536676.0, + "step": 5225 + }, + { + "entropy": 5.415819597244263, + "epoch": 5.27231467473525, + "grad_norm": 1.1171875, + "learning_rate": 0.000292910322810034, + "loss": 4.7999, + "mean_token_accuracy": 0.20850418359041215, + "num_tokens": 11548466.0, + "step": 5230 + }, + { + "entropy": 5.401542377471924, + "epoch": 5.277357539082199, + "grad_norm": 1.1171875, + "learning_rate": 0.00029251488815410344, + "loss": 4.8248, + "mean_token_accuracy": 0.19646383076906204, + "num_tokens": 11560065.0, + "step": 5235 + }, + { + "entropy": 5.407020950317383, + "epoch": 5.282400403429148, + "grad_norm": 1.25, + "learning_rate": 0.00029211939906149644, + "loss": 4.8254, + "mean_token_accuracy": 0.1985974207520485, + "num_tokens": 11571718.0, + "step": 5240 + }, + { + "entropy": 5.37835693359375, + "epoch": 5.287443267776097, + "grad_norm": 1.2578125, + "learning_rate": 0.00029172385676140225, + "loss": 4.8058, + "mean_token_accuracy": 0.20265444219112397, + "num_tokens": 11583046.0, + "step": 5245 + }, + { + "entropy": 5.317554950714111, + "epoch": 5.292486132123046, + "grad_norm": 1.265625, + "learning_rate": 0.00029132826248317537, + "loss": 4.6898, + "mean_token_accuracy": 0.20848133116960527, + "num_tokens": 11593744.0, + "step": 5250 + }, + { + "entropy": 5.385888576507568, + "epoch": 5.297528996469995, + "grad_norm": 1.2421875, + "learning_rate": 0.0002909326174563322, + "loss": 4.7439, + "mean_token_accuracy": 0.20916520357131957, + "num_tokens": 11604337.0, + "step": 5255 + }, + { + "entropy": 5.394536018371582, + "epoch": 5.302571860816944, + "grad_norm": 1.2578125, + "learning_rate": 0.00029053692291054636, + "loss": 4.8092, + "mean_token_accuracy": 0.2000624418258667, + "num_tokens": 11615712.0, + "step": 5260 + }, + { + "entropy": 5.324703073501587, + "epoch": 5.307614725163893, + "grad_norm": 1.140625, + "learning_rate": 0.00029014118007564564, + "loss": 4.7372, + "mean_token_accuracy": 0.20561733543872834, + "num_tokens": 11625846.0, + "step": 5265 + }, + { + "entropy": 5.344365358352661, + "epoch": 5.3126575895108425, + "grad_norm": 1.296875, + "learning_rate": 0.0002897453901816081, + "loss": 4.7914, + "mean_token_accuracy": 0.20059997588396072, + "num_tokens": 11635968.0, + "step": 5270 + }, + { + "entropy": 5.4661658763885494, + "epoch": 5.317700453857791, + "grad_norm": 1.3515625, + "learning_rate": 0.00028934955445855773, + "loss": 4.8665, + "mean_token_accuracy": 0.20574951171875, + "num_tokens": 11646858.0, + "step": 5275 + }, + { + "entropy": 5.3323393821716305, + "epoch": 5.32274331820474, + "grad_norm": 1.328125, + "learning_rate": 0.00028895367413676095, + "loss": 4.7689, + "mean_token_accuracy": 0.20801410377025603, + "num_tokens": 11657728.0, + "step": 5280 + }, + { + "entropy": 5.462389087677002, + "epoch": 5.327786182551689, + "grad_norm": 1.265625, + "learning_rate": 0.0002885577504466232, + "loss": 4.8162, + "mean_token_accuracy": 0.20330755561590194, + "num_tokens": 11668288.0, + "step": 5285 + }, + { + "entropy": 5.37921552658081, + "epoch": 5.332829046898638, + "grad_norm": 1.140625, + "learning_rate": 0.00028816178461868425, + "loss": 4.7375, + "mean_token_accuracy": 0.2022107347846031, + "num_tokens": 11679883.0, + "step": 5290 + }, + { + "entropy": 5.415158128738403, + "epoch": 5.337871911245587, + "grad_norm": 1.1484375, + "learning_rate": 0.0002877657778836151, + "loss": 4.8363, + "mean_token_accuracy": 0.19621689319610597, + "num_tokens": 11690643.0, + "step": 5295 + }, + { + "entropy": 5.428422117233277, + "epoch": 5.342914775592536, + "grad_norm": 1.3828125, + "learning_rate": 0.0002873697314722138, + "loss": 4.8324, + "mean_token_accuracy": 0.20309034287929534, + "num_tokens": 11701687.0, + "step": 5300 + }, + { + "entropy": 5.359555959701538, + "epoch": 5.3479576399394855, + "grad_norm": 1.09375, + "learning_rate": 0.0002869736466154018, + "loss": 4.7564, + "mean_token_accuracy": 0.20772893279790877, + "num_tokens": 11713432.0, + "step": 5305 + }, + { + "entropy": 5.408741807937622, + "epoch": 5.353000504286435, + "grad_norm": 1.3203125, + "learning_rate": 0.00028657752454421974, + "loss": 4.8059, + "mean_token_accuracy": 0.20484850853681563, + "num_tokens": 11725009.0, + "step": 5310 + }, + { + "entropy": 5.435963106155396, + "epoch": 5.358043368633384, + "grad_norm": 1.265625, + "learning_rate": 0.0002861813664898245, + "loss": 4.7478, + "mean_token_accuracy": 0.21129528284072877, + "num_tokens": 11735576.0, + "step": 5315 + }, + { + "entropy": 5.396055507659912, + "epoch": 5.363086232980333, + "grad_norm": 1.234375, + "learning_rate": 0.00028578517368348425, + "loss": 4.7527, + "mean_token_accuracy": 0.2051149368286133, + "num_tokens": 11746334.0, + "step": 5320 + }, + { + "entropy": 5.342900180816651, + "epoch": 5.368129097327282, + "grad_norm": 1.1796875, + "learning_rate": 0.0002853889473565753, + "loss": 4.7693, + "mean_token_accuracy": 0.2017793208360672, + "num_tokens": 11757093.0, + "step": 5325 + }, + { + "entropy": 5.349963808059693, + "epoch": 5.373171961674231, + "grad_norm": 1.5859375, + "learning_rate": 0.0002849926887405784, + "loss": 4.7967, + "mean_token_accuracy": 0.19983594566583635, + "num_tokens": 11767141.0, + "step": 5330 + }, + { + "entropy": 5.512475156784058, + "epoch": 5.37821482602118, + "grad_norm": 1.2421875, + "learning_rate": 0.0002845963990670744, + "loss": 4.9514, + "mean_token_accuracy": 0.19021792709827423, + "num_tokens": 11778944.0, + "step": 5335 + }, + { + "entropy": 5.40713062286377, + "epoch": 5.383257690368129, + "grad_norm": 1.375, + "learning_rate": 0.00028420007956774077, + "loss": 4.6902, + "mean_token_accuracy": 0.20905327051877975, + "num_tokens": 11789081.0, + "step": 5340 + }, + { + "entropy": 5.3399951457977295, + "epoch": 5.388300554715078, + "grad_norm": 1.34375, + "learning_rate": 0.00028380373147434746, + "loss": 4.7737, + "mean_token_accuracy": 0.2040804609656334, + "num_tokens": 11800626.0, + "step": 5345 + }, + { + "entropy": 5.378877353668213, + "epoch": 5.3933434190620275, + "grad_norm": 1.203125, + "learning_rate": 0.00028340735601875376, + "loss": 4.7866, + "mean_token_accuracy": 0.19718751609325408, + "num_tokens": 11810899.0, + "step": 5350 + }, + { + "entropy": 5.417437934875489, + "epoch": 5.398386283408977, + "grad_norm": 1.21875, + "learning_rate": 0.0002830109544329036, + "loss": 4.8029, + "mean_token_accuracy": 0.20603054910898208, + "num_tokens": 11822599.0, + "step": 5355 + }, + { + "entropy": 5.413007068634033, + "epoch": 5.403429147755926, + "grad_norm": 1.0390625, + "learning_rate": 0.00028261452794882223, + "loss": 4.8487, + "mean_token_accuracy": 0.20448752641677856, + "num_tokens": 11836199.0, + "step": 5360 + }, + { + "entropy": 5.285883283615112, + "epoch": 5.408472012102875, + "grad_norm": 1.359375, + "learning_rate": 0.00028221807779861243, + "loss": 4.6572, + "mean_token_accuracy": 0.21588353663682938, + "num_tokens": 11846220.0, + "step": 5365 + }, + { + "entropy": 5.366286277770996, + "epoch": 5.413514876449823, + "grad_norm": 1.4453125, + "learning_rate": 0.0002818216052144502, + "loss": 4.7719, + "mean_token_accuracy": 0.20182025879621507, + "num_tokens": 11857356.0, + "step": 5370 + }, + { + "entropy": 5.40411696434021, + "epoch": 5.418557740796772, + "grad_norm": 1.3359375, + "learning_rate": 0.0002814251114285816, + "loss": 4.759, + "mean_token_accuracy": 0.20002357810735702, + "num_tokens": 11869088.0, + "step": 5375 + }, + { + "entropy": 5.362497329711914, + "epoch": 5.423600605143721, + "grad_norm": 1.3828125, + "learning_rate": 0.0002810285976733186, + "loss": 4.7575, + "mean_token_accuracy": 0.2007217139005661, + "num_tokens": 11878805.0, + "step": 5380 + }, + { + "entropy": 5.344033241271973, + "epoch": 5.4286434694906704, + "grad_norm": 1.296875, + "learning_rate": 0.0002806320651810349, + "loss": 4.7229, + "mean_token_accuracy": 0.20748991668224334, + "num_tokens": 11889656.0, + "step": 5385 + }, + { + "entropy": 5.390753555297851, + "epoch": 5.43368633383762, + "grad_norm": 1.21875, + "learning_rate": 0.0002802355151841627, + "loss": 4.7644, + "mean_token_accuracy": 0.20545733124017715, + "num_tokens": 11901816.0, + "step": 5390 + }, + { + "entropy": 5.306405162811279, + "epoch": 5.438729198184569, + "grad_norm": 1.296875, + "learning_rate": 0.0002798389489151886, + "loss": 4.7576, + "mean_token_accuracy": 0.2034154698252678, + "num_tokens": 11915049.0, + "step": 5395 + }, + { + "entropy": 5.366006183624267, + "epoch": 5.443772062531518, + "grad_norm": 1.1953125, + "learning_rate": 0.00027944236760664947, + "loss": 4.7347, + "mean_token_accuracy": 0.2040851205587387, + "num_tokens": 11925574.0, + "step": 5400 + }, + { + "entropy": 5.373019075393676, + "epoch": 5.448814926878467, + "grad_norm": 1.375, + "learning_rate": 0.00027904577249112945, + "loss": 4.7729, + "mean_token_accuracy": 0.20976183712482452, + "num_tokens": 11936790.0, + "step": 5405 + }, + { + "entropy": 5.37097053527832, + "epoch": 5.453857791225416, + "grad_norm": 1.2734375, + "learning_rate": 0.0002786491648012552, + "loss": 4.7702, + "mean_token_accuracy": 0.19968913346529008, + "num_tokens": 11947430.0, + "step": 5410 + }, + { + "entropy": 5.392760419845581, + "epoch": 5.458900655572365, + "grad_norm": 1.359375, + "learning_rate": 0.0002782525457696926, + "loss": 4.8093, + "mean_token_accuracy": 0.2016148239374161, + "num_tokens": 11959385.0, + "step": 5415 + }, + { + "entropy": 5.367619800567627, + "epoch": 5.463943519919314, + "grad_norm": 1.1875, + "learning_rate": 0.0002778559166291427, + "loss": 4.7897, + "mean_token_accuracy": 0.20243736058473588, + "num_tokens": 11972117.0, + "step": 5420 + }, + { + "entropy": 5.404072093963623, + "epoch": 5.468986384266263, + "grad_norm": 1.2109375, + "learning_rate": 0.0002774592786123379, + "loss": 4.8294, + "mean_token_accuracy": 0.19929574579000472, + "num_tokens": 11984195.0, + "step": 5425 + }, + { + "entropy": 5.384224510192871, + "epoch": 5.4740292486132125, + "grad_norm": 1.3828125, + "learning_rate": 0.0002770626329520386, + "loss": 4.7591, + "mean_token_accuracy": 0.20624046474695207, + "num_tokens": 11994875.0, + "step": 5430 + }, + { + "entropy": 5.42634220123291, + "epoch": 5.479072112960162, + "grad_norm": 1.3125, + "learning_rate": 0.0002766659808810285, + "loss": 4.8343, + "mean_token_accuracy": 0.20160355269908906, + "num_tokens": 12006408.0, + "step": 5435 + }, + { + "entropy": 5.4102010250091555, + "epoch": 5.484114977307111, + "grad_norm": 1.21875, + "learning_rate": 0.00027626932363211134, + "loss": 4.7882, + "mean_token_accuracy": 0.2065979465842247, + "num_tokens": 12016764.0, + "step": 5440 + }, + { + "entropy": 5.375625371932983, + "epoch": 5.48915784165406, + "grad_norm": 1.1328125, + "learning_rate": 0.0002758726624381071, + "loss": 4.7426, + "mean_token_accuracy": 0.21021603494882585, + "num_tokens": 12027900.0, + "step": 5445 + }, + { + "entropy": 5.3879789352417, + "epoch": 5.494200706001009, + "grad_norm": 1.34375, + "learning_rate": 0.0002754759985318478, + "loss": 4.8359, + "mean_token_accuracy": 0.19971801191568375, + "num_tokens": 12038641.0, + "step": 5450 + }, + { + "entropy": 5.400270891189575, + "epoch": 5.499243570347957, + "grad_norm": 1.203125, + "learning_rate": 0.0002750793331461741, + "loss": 4.8084, + "mean_token_accuracy": 0.19689522981643676, + "num_tokens": 12050938.0, + "step": 5455 + }, + { + "entropy": 5.380944490432739, + "epoch": 5.504286434694906, + "grad_norm": 1.203125, + "learning_rate": 0.0002746826675139313, + "loss": 4.7536, + "mean_token_accuracy": 0.2038170129060745, + "num_tokens": 12061483.0, + "step": 5460 + }, + { + "entropy": 5.428875350952149, + "epoch": 5.509329299041855, + "grad_norm": 1.4140625, + "learning_rate": 0.00027428600286796503, + "loss": 4.8109, + "mean_token_accuracy": 0.19564636945724487, + "num_tokens": 12073214.0, + "step": 5465 + }, + { + "entropy": 5.413195037841797, + "epoch": 5.5143721633888045, + "grad_norm": 1.515625, + "learning_rate": 0.00027388934044111836, + "loss": 4.7896, + "mean_token_accuracy": 0.20607620030641555, + "num_tokens": 12082536.0, + "step": 5470 + }, + { + "entropy": 5.447469186782837, + "epoch": 5.519415027735754, + "grad_norm": 1.2109375, + "learning_rate": 0.0002734926814662271, + "loss": 4.8629, + "mean_token_accuracy": 0.1926976814866066, + "num_tokens": 12094867.0, + "step": 5475 + }, + { + "entropy": 5.416417980194092, + "epoch": 5.524457892082703, + "grad_norm": 1.3984375, + "learning_rate": 0.00027309602717611673, + "loss": 4.8627, + "mean_token_accuracy": 0.20292915999889374, + "num_tokens": 12105385.0, + "step": 5480 + }, + { + "entropy": 5.364644479751587, + "epoch": 5.529500756429652, + "grad_norm": 1.1484375, + "learning_rate": 0.00027269937880359786, + "loss": 4.7571, + "mean_token_accuracy": 0.2100677892565727, + "num_tokens": 12117652.0, + "step": 5485 + }, + { + "entropy": 5.402087545394897, + "epoch": 5.534543620776601, + "grad_norm": 1.2734375, + "learning_rate": 0.00027230273758146263, + "loss": 4.8328, + "mean_token_accuracy": 0.20247368216514589, + "num_tokens": 12128372.0, + "step": 5490 + }, + { + "entropy": 5.426740074157715, + "epoch": 5.53958648512355, + "grad_norm": 1.3515625, + "learning_rate": 0.0002719061047424813, + "loss": 4.818, + "mean_token_accuracy": 0.2003900319337845, + "num_tokens": 12138943.0, + "step": 5495 + }, + { + "entropy": 5.3167243003845215, + "epoch": 5.544629349470499, + "grad_norm": 1.203125, + "learning_rate": 0.0002715094815193978, + "loss": 4.7368, + "mean_token_accuracy": 0.20867759585380555, + "num_tokens": 12149329.0, + "step": 5500 + }, + { + "entropy": 5.331606101989746, + "epoch": 5.549672213817448, + "grad_norm": 1.359375, + "learning_rate": 0.0002711128691449262, + "loss": 4.7266, + "mean_token_accuracy": 0.20735112428665162, + "num_tokens": 12160498.0, + "step": 5505 + }, + { + "entropy": 5.4235076904296875, + "epoch": 5.5547150781643975, + "grad_norm": 1.328125, + "learning_rate": 0.000270716268851747, + "loss": 4.8422, + "mean_token_accuracy": 0.19248930662870406, + "num_tokens": 12171110.0, + "step": 5510 + }, + { + "entropy": 5.297978353500366, + "epoch": 5.559757942511347, + "grad_norm": 1.1796875, + "learning_rate": 0.00027031968187250305, + "loss": 4.7609, + "mean_token_accuracy": 0.2007995918393135, + "num_tokens": 12182706.0, + "step": 5515 + }, + { + "entropy": 5.36890983581543, + "epoch": 5.564800806858296, + "grad_norm": 1.2578125, + "learning_rate": 0.0002699231094397957, + "loss": 4.7555, + "mean_token_accuracy": 0.20540590286254884, + "num_tokens": 12194023.0, + "step": 5520 + }, + { + "entropy": 5.39328031539917, + "epoch": 5.569843671205245, + "grad_norm": 1.40625, + "learning_rate": 0.0002695265527861815, + "loss": 4.7822, + "mean_token_accuracy": 0.19761642217636108, + "num_tokens": 12204165.0, + "step": 5525 + }, + { + "entropy": 5.416159820556641, + "epoch": 5.574886535552194, + "grad_norm": 1.28125, + "learning_rate": 0.0002691300131441674, + "loss": 4.8489, + "mean_token_accuracy": 0.1993971899151802, + "num_tokens": 12214840.0, + "step": 5530 + }, + { + "entropy": 5.398578071594239, + "epoch": 5.579929399899143, + "grad_norm": 1.1796875, + "learning_rate": 0.0002687334917462079, + "loss": 4.8122, + "mean_token_accuracy": 0.20347722321748735, + "num_tokens": 12226454.0, + "step": 5535 + }, + { + "entropy": 5.382529306411743, + "epoch": 5.584972264246092, + "grad_norm": 1.4921875, + "learning_rate": 0.0002683369898247005, + "loss": 4.8185, + "mean_token_accuracy": 0.19594880789518357, + "num_tokens": 12236958.0, + "step": 5540 + }, + { + "entropy": 5.407418203353882, + "epoch": 5.590015128593041, + "grad_norm": 1.2578125, + "learning_rate": 0.0002679405086119825, + "loss": 4.7829, + "mean_token_accuracy": 0.20016122311353685, + "num_tokens": 12248050.0, + "step": 5545 + }, + { + "entropy": 5.418981838226318, + "epoch": 5.59505799293999, + "grad_norm": 1.359375, + "learning_rate": 0.00026754404934032657, + "loss": 4.7709, + "mean_token_accuracy": 0.19695729166269302, + "num_tokens": 12258230.0, + "step": 5550 + }, + { + "entropy": 5.2918905258178714, + "epoch": 5.600100857286939, + "grad_norm": 1.3125, + "learning_rate": 0.0002671476132419374, + "loss": 4.7131, + "mean_token_accuracy": 0.2035423129796982, + "num_tokens": 12268708.0, + "step": 5555 + }, + { + "entropy": 5.359189367294311, + "epoch": 5.605143721633888, + "grad_norm": 1.2421875, + "learning_rate": 0.0002667512015489472, + "loss": 4.8098, + "mean_token_accuracy": 0.198850516974926, + "num_tokens": 12279363.0, + "step": 5560 + }, + { + "entropy": 5.361038446426392, + "epoch": 5.610186585980837, + "grad_norm": 1.2578125, + "learning_rate": 0.000266354815493413, + "loss": 4.6775, + "mean_token_accuracy": 0.2127465561032295, + "num_tokens": 12290525.0, + "step": 5565 + }, + { + "entropy": 5.3382140636444095, + "epoch": 5.615229450327786, + "grad_norm": 1.171875, + "learning_rate": 0.00026595845630731166, + "loss": 4.7394, + "mean_token_accuracy": 0.21278925836086274, + "num_tokens": 12301404.0, + "step": 5570 + }, + { + "entropy": 5.28578896522522, + "epoch": 5.620272314674735, + "grad_norm": 1.3515625, + "learning_rate": 0.00026556212522253666, + "loss": 4.7747, + "mean_token_accuracy": 0.20052016228437425, + "num_tokens": 12312601.0, + "step": 5575 + }, + { + "entropy": 5.371021366119384, + "epoch": 5.625315179021684, + "grad_norm": 1.4375, + "learning_rate": 0.0002651658234708941, + "loss": 4.7389, + "mean_token_accuracy": 0.20447789281606674, + "num_tokens": 12324192.0, + "step": 5580 + }, + { + "entropy": 5.4337811946868895, + "epoch": 5.630358043368633, + "grad_norm": 1.3046875, + "learning_rate": 0.00026476955228409924, + "loss": 4.7604, + "mean_token_accuracy": 0.21026771813631057, + "num_tokens": 12335358.0, + "step": 5585 + }, + { + "entropy": 5.328546142578125, + "epoch": 5.635400907715582, + "grad_norm": 1.1484375, + "learning_rate": 0.00026437331289377175, + "loss": 4.7659, + "mean_token_accuracy": 0.2018200382590294, + "num_tokens": 12347000.0, + "step": 5590 + }, + { + "entropy": 5.434003067016602, + "epoch": 5.640443772062532, + "grad_norm": 1.3046875, + "learning_rate": 0.0002639771065314329, + "loss": 4.8828, + "mean_token_accuracy": 0.19211796522140503, + "num_tokens": 12358067.0, + "step": 5595 + }, + { + "entropy": 5.412813138961792, + "epoch": 5.645486636409481, + "grad_norm": 1.078125, + "learning_rate": 0.00026358093442850134, + "loss": 4.7987, + "mean_token_accuracy": 0.19619182050228118, + "num_tokens": 12369359.0, + "step": 5600 + }, + { + "entropy": 5.379443597793579, + "epoch": 5.65052950075643, + "grad_norm": 1.1953125, + "learning_rate": 0.0002631847978162889, + "loss": 4.8384, + "mean_token_accuracy": 0.20223764479160308, + "num_tokens": 12380789.0, + "step": 5605 + }, + { + "entropy": 5.349356412887573, + "epoch": 5.655572365103379, + "grad_norm": 1.25, + "learning_rate": 0.00026278869792599745, + "loss": 4.7751, + "mean_token_accuracy": 0.20764461308717727, + "num_tokens": 12392591.0, + "step": 5610 + }, + { + "entropy": 5.34460825920105, + "epoch": 5.660615229450328, + "grad_norm": 1.3046875, + "learning_rate": 0.0002623926359887145, + "loss": 4.8184, + "mean_token_accuracy": 0.19706828147172928, + "num_tokens": 12404269.0, + "step": 5615 + }, + { + "entropy": 5.430381488800049, + "epoch": 5.665658093797277, + "grad_norm": 1.4453125, + "learning_rate": 0.00026199661323540973, + "loss": 4.8309, + "mean_token_accuracy": 0.20572761446237564, + "num_tokens": 12414356.0, + "step": 5620 + }, + { + "entropy": 5.4070611000061035, + "epoch": 5.670700958144226, + "grad_norm": 1.328125, + "learning_rate": 0.00026160063089693096, + "loss": 4.7887, + "mean_token_accuracy": 0.20611845701932907, + "num_tokens": 12424480.0, + "step": 5625 + }, + { + "entropy": 5.383074998855591, + "epoch": 5.675743822491175, + "grad_norm": 1.2578125, + "learning_rate": 0.0002612046902040006, + "loss": 4.8203, + "mean_token_accuracy": 0.19679659008979797, + "num_tokens": 12437253.0, + "step": 5630 + }, + { + "entropy": 5.478241586685181, + "epoch": 5.680786686838124, + "grad_norm": 1.1796875, + "learning_rate": 0.0002608087923872111, + "loss": 4.7828, + "mean_token_accuracy": 0.2005940333008766, + "num_tokens": 12448297.0, + "step": 5635 + }, + { + "entropy": 5.431466722488404, + "epoch": 5.685829551185073, + "grad_norm": 1.21875, + "learning_rate": 0.00026041293867702235, + "loss": 4.835, + "mean_token_accuracy": 0.20168797373771669, + "num_tokens": 12460066.0, + "step": 5640 + }, + { + "entropy": 5.405737352371216, + "epoch": 5.690872415532022, + "grad_norm": 1.2890625, + "learning_rate": 0.00026001713030375664, + "loss": 4.8312, + "mean_token_accuracy": 0.19425902664661407, + "num_tokens": 12469806.0, + "step": 5645 + }, + { + "entropy": 5.340780353546142, + "epoch": 5.695915279878971, + "grad_norm": 1.265625, + "learning_rate": 0.00025962136849759564, + "loss": 4.8248, + "mean_token_accuracy": 0.1924226090312004, + "num_tokens": 12480713.0, + "step": 5650 + }, + { + "entropy": 5.335066604614258, + "epoch": 5.70095814422592, + "grad_norm": 1.2890625, + "learning_rate": 0.00025922565448857605, + "loss": 4.7662, + "mean_token_accuracy": 0.19760394990444183, + "num_tokens": 12491635.0, + "step": 5655 + }, + { + "entropy": 5.405575895309449, + "epoch": 5.706001008572869, + "grad_norm": 1.4140625, + "learning_rate": 0.00025882998950658623, + "loss": 4.7873, + "mean_token_accuracy": 0.19493716955184937, + "num_tokens": 12502064.0, + "step": 5660 + }, + { + "entropy": 5.398749971389771, + "epoch": 5.711043872919818, + "grad_norm": 1.3359375, + "learning_rate": 0.00025843437478136196, + "loss": 4.8079, + "mean_token_accuracy": 0.20524186491966248, + "num_tokens": 12512525.0, + "step": 5665 + }, + { + "entropy": 5.335463333129883, + "epoch": 5.716086737266767, + "grad_norm": 1.1953125, + "learning_rate": 0.00025803881154248305, + "loss": 4.7732, + "mean_token_accuracy": 0.1931627333164215, + "num_tokens": 12523512.0, + "step": 5670 + }, + { + "entropy": 5.351618337631225, + "epoch": 5.7211296016137165, + "grad_norm": 1.3359375, + "learning_rate": 0.0002576433010193691, + "loss": 4.7278, + "mean_token_accuracy": 0.19881056994199753, + "num_tokens": 12533678.0, + "step": 5675 + }, + { + "entropy": 5.355673885345459, + "epoch": 5.726172465960666, + "grad_norm": 1.2265625, + "learning_rate": 0.000257247844441276, + "loss": 4.8625, + "mean_token_accuracy": 0.20028068572282792, + "num_tokens": 12545519.0, + "step": 5680 + }, + { + "entropy": 5.392779731750489, + "epoch": 5.731215330307615, + "grad_norm": 1.2421875, + "learning_rate": 0.00025685244303729187, + "loss": 4.7666, + "mean_token_accuracy": 0.20816505402326585, + "num_tokens": 12556960.0, + "step": 5685 + }, + { + "entropy": 5.359384536743164, + "epoch": 5.736258194654564, + "grad_norm": 1.265625, + "learning_rate": 0.0002564570980363334, + "loss": 4.7361, + "mean_token_accuracy": 0.20638254135847092, + "num_tokens": 12567085.0, + "step": 5690 + }, + { + "entropy": 5.3717506408691404, + "epoch": 5.741301059001513, + "grad_norm": 1.3671875, + "learning_rate": 0.00025606181066714195, + "loss": 4.7859, + "mean_token_accuracy": 0.19550453275442123, + "num_tokens": 12576382.0, + "step": 5695 + }, + { + "entropy": 5.380795001983643, + "epoch": 5.746343923348462, + "grad_norm": 1.28125, + "learning_rate": 0.0002556665821582798, + "loss": 4.804, + "mean_token_accuracy": 0.2034294456243515, + "num_tokens": 12587332.0, + "step": 5700 + }, + { + "entropy": 5.329462766647339, + "epoch": 5.751386787695411, + "grad_norm": 1.234375, + "learning_rate": 0.0002552714137381264, + "loss": 4.775, + "mean_token_accuracy": 0.20877379626035691, + "num_tokens": 12597816.0, + "step": 5705 + }, + { + "entropy": 5.419559144973755, + "epoch": 5.75642965204236, + "grad_norm": 1.203125, + "learning_rate": 0.0002548763066348741, + "loss": 4.8104, + "mean_token_accuracy": 0.2014116421341896, + "num_tokens": 12609463.0, + "step": 5710 + }, + { + "entropy": 5.347645282745361, + "epoch": 5.7614725163893095, + "grad_norm": 1.265625, + "learning_rate": 0.0002544812620765251, + "loss": 4.8199, + "mean_token_accuracy": 0.20352404415607453, + "num_tokens": 12621551.0, + "step": 5715 + }, + { + "entropy": 5.40521354675293, + "epoch": 5.766515380736259, + "grad_norm": 1.3671875, + "learning_rate": 0.0002540862812908868, + "loss": 4.7497, + "mean_token_accuracy": 0.2069175735116005, + "num_tokens": 12632246.0, + "step": 5720 + }, + { + "entropy": 5.376331758499146, + "epoch": 5.771558245083208, + "grad_norm": 1.265625, + "learning_rate": 0.0002536913655055687, + "loss": 4.7504, + "mean_token_accuracy": 0.20739430338144302, + "num_tokens": 12642398.0, + "step": 5725 + }, + { + "entropy": 5.343450546264648, + "epoch": 5.776601109430157, + "grad_norm": 1.2890625, + "learning_rate": 0.0002532965159479781, + "loss": 4.7801, + "mean_token_accuracy": 0.20516646802425384, + "num_tokens": 12652454.0, + "step": 5730 + }, + { + "entropy": 5.403167772293091, + "epoch": 5.781643973777105, + "grad_norm": 1.40625, + "learning_rate": 0.0002529017338453167, + "loss": 4.8266, + "mean_token_accuracy": 0.20408095866441728, + "num_tokens": 12663757.0, + "step": 5735 + }, + { + "entropy": 5.44119873046875, + "epoch": 5.786686838124054, + "grad_norm": 1.375, + "learning_rate": 0.0002525070204245761, + "loss": 4.8073, + "mean_token_accuracy": 0.20163584649562835, + "num_tokens": 12674795.0, + "step": 5740 + }, + { + "entropy": 5.388897228240967, + "epoch": 5.791729702471003, + "grad_norm": 1.34375, + "learning_rate": 0.00025211237691253507, + "loss": 4.8593, + "mean_token_accuracy": 0.19761030226945878, + "num_tokens": 12686162.0, + "step": 5745 + }, + { + "entropy": 5.411794424057007, + "epoch": 5.796772566817952, + "grad_norm": 1.3828125, + "learning_rate": 0.00025171780453575447, + "loss": 4.7833, + "mean_token_accuracy": 0.19894900172948837, + "num_tokens": 12696930.0, + "step": 5750 + }, + { + "entropy": 5.430048322677612, + "epoch": 5.8018154311649015, + "grad_norm": 1.265625, + "learning_rate": 0.0002513233045205746, + "loss": 4.8304, + "mean_token_accuracy": 0.20307109504938126, + "num_tokens": 12708083.0, + "step": 5755 + }, + { + "entropy": 5.339283895492554, + "epoch": 5.806858295511851, + "grad_norm": 1.40625, + "learning_rate": 0.0002509288780931102, + "loss": 4.7246, + "mean_token_accuracy": 0.20105741918087006, + "num_tokens": 12718852.0, + "step": 5760 + }, + { + "entropy": 5.389208507537842, + "epoch": 5.8119011598588, + "grad_norm": 1.515625, + "learning_rate": 0.0002505345264792482, + "loss": 4.8418, + "mean_token_accuracy": 0.2007734403014183, + "num_tokens": 12729276.0, + "step": 5765 + }, + { + "entropy": 5.384714031219483, + "epoch": 5.816944024205749, + "grad_norm": 1.2734375, + "learning_rate": 0.00025014025090464205, + "loss": 4.7587, + "mean_token_accuracy": 0.20847140103578568, + "num_tokens": 12739442.0, + "step": 5770 + }, + { + "entropy": 5.395238590240479, + "epoch": 5.821986888552698, + "grad_norm": 1.4296875, + "learning_rate": 0.00024974605259470975, + "loss": 4.8388, + "mean_token_accuracy": 0.20188961178064346, + "num_tokens": 12750315.0, + "step": 5775 + }, + { + "entropy": 5.367918825149536, + "epoch": 5.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.00024935193277462835, + "loss": 4.7595, + "mean_token_accuracy": 0.20250935703516007, + "num_tokens": 12761306.0, + "step": 5780 + }, + { + "entropy": 5.399157953262329, + "epoch": 5.832072617246596, + "grad_norm": 1.3984375, + "learning_rate": 0.0002489578926693317, + "loss": 4.767, + "mean_token_accuracy": 0.20976047068834305, + "num_tokens": 12772182.0, + "step": 5785 + }, + { + "entropy": 5.362395763397217, + "epoch": 5.837115481593545, + "grad_norm": 1.25, + "learning_rate": 0.0002485639335035053, + "loss": 4.7758, + "mean_token_accuracy": 0.2043982192873955, + "num_tokens": 12783455.0, + "step": 5790 + }, + { + "entropy": 5.37901291847229, + "epoch": 5.842158345940494, + "grad_norm": 1.21875, + "learning_rate": 0.00024817005650158345, + "loss": 4.7832, + "mean_token_accuracy": 0.20846178829669954, + "num_tokens": 12794756.0, + "step": 5795 + }, + { + "entropy": 5.333470296859741, + "epoch": 5.8472012102874436, + "grad_norm": 1.203125, + "learning_rate": 0.00024777626288774473, + "loss": 4.7694, + "mean_token_accuracy": 0.20354427844285966, + "num_tokens": 12807748.0, + "step": 5800 + }, + { + "entropy": 5.330673408508301, + "epoch": 5.852244074634393, + "grad_norm": 1.328125, + "learning_rate": 0.0002473825538859091, + "loss": 4.7809, + "mean_token_accuracy": 0.20519086122512817, + "num_tokens": 12818642.0, + "step": 5805 + }, + { + "entropy": 5.362842655181884, + "epoch": 5.857286938981342, + "grad_norm": 1.2734375, + "learning_rate": 0.0002469889307197331, + "loss": 4.7522, + "mean_token_accuracy": 0.2019769474864006, + "num_tokens": 12830873.0, + "step": 5810 + }, + { + "entropy": 5.417681550979614, + "epoch": 5.86232980332829, + "grad_norm": 1.28125, + "learning_rate": 0.0002465953946126065, + "loss": 4.8827, + "mean_token_accuracy": 0.19947465062141417, + "num_tokens": 12842545.0, + "step": 5815 + }, + { + "entropy": 5.452762079238892, + "epoch": 5.867372667675239, + "grad_norm": 1.390625, + "learning_rate": 0.00024620194678764875, + "loss": 4.8285, + "mean_token_accuracy": 0.20198632925748825, + "num_tokens": 12853398.0, + "step": 5820 + }, + { + "entropy": 5.382379150390625, + "epoch": 5.872415532022188, + "grad_norm": 1.2578125, + "learning_rate": 0.0002458085884677046, + "loss": 4.7487, + "mean_token_accuracy": 0.20454103201627732, + "num_tokens": 12865637.0, + "step": 5825 + }, + { + "entropy": 5.35223274230957, + "epoch": 5.877458396369137, + "grad_norm": 1.1875, + "learning_rate": 0.00024541532087534097, + "loss": 4.7892, + "mean_token_accuracy": 0.20246104747056962, + "num_tokens": 12877055.0, + "step": 5830 + }, + { + "entropy": 5.314401578903198, + "epoch": 5.8825012607160865, + "grad_norm": 1.546875, + "learning_rate": 0.0002450221452328424, + "loss": 4.6618, + "mean_token_accuracy": 0.21492190062999725, + "num_tokens": 12887609.0, + "step": 5835 + }, + { + "entropy": 5.378951358795166, + "epoch": 5.887544125063036, + "grad_norm": 1.421875, + "learning_rate": 0.00024462906276220814, + "loss": 4.7694, + "mean_token_accuracy": 0.20678590536117553, + "num_tokens": 12898327.0, + "step": 5840 + }, + { + "entropy": 5.352730464935303, + "epoch": 5.892586989409985, + "grad_norm": 1.265625, + "learning_rate": 0.0002442360746851473, + "loss": 4.8597, + "mean_token_accuracy": 0.19703632742166519, + "num_tokens": 12909837.0, + "step": 5845 + }, + { + "entropy": 5.38573989868164, + "epoch": 5.897629853756934, + "grad_norm": 1.140625, + "learning_rate": 0.00024384318222307605, + "loss": 4.8392, + "mean_token_accuracy": 0.2016778990626335, + "num_tokens": 12921386.0, + "step": 5850 + }, + { + "entropy": 5.345422220230103, + "epoch": 5.902672718103883, + "grad_norm": 1.390625, + "learning_rate": 0.0002434503865971131, + "loss": 4.7784, + "mean_token_accuracy": 0.21095688492059708, + "num_tokens": 12932099.0, + "step": 5855 + }, + { + "entropy": 5.382601737976074, + "epoch": 5.907715582450832, + "grad_norm": 1.203125, + "learning_rate": 0.0002430576890280765, + "loss": 4.8036, + "mean_token_accuracy": 0.20520464032888414, + "num_tokens": 12944151.0, + "step": 5860 + }, + { + "entropy": 5.406586980819702, + "epoch": 5.912758446797781, + "grad_norm": 1.2265625, + "learning_rate": 0.00024266509073647913, + "loss": 4.8275, + "mean_token_accuracy": 0.2021748811006546, + "num_tokens": 12956399.0, + "step": 5865 + }, + { + "entropy": 5.408793163299561, + "epoch": 5.91780131114473, + "grad_norm": 1.171875, + "learning_rate": 0.00024227259294252578, + "loss": 4.8454, + "mean_token_accuracy": 0.2002648815512657, + "num_tokens": 12968332.0, + "step": 5870 + }, + { + "entropy": 5.366849565505982, + "epoch": 5.922844175491679, + "grad_norm": 1.203125, + "learning_rate": 0.0002418801968661084, + "loss": 4.7667, + "mean_token_accuracy": 0.20432819426059723, + "num_tokens": 12979647.0, + "step": 5875 + }, + { + "entropy": 5.388034963607788, + "epoch": 5.9278870398386285, + "grad_norm": 1.1015625, + "learning_rate": 0.00024148790372680324, + "loss": 4.8368, + "mean_token_accuracy": 0.1974472373723984, + "num_tokens": 12992115.0, + "step": 5880 + }, + { + "entropy": 5.358849620819091, + "epoch": 5.932929904185578, + "grad_norm": 1.3046875, + "learning_rate": 0.00024109571474386631, + "loss": 4.6664, + "mean_token_accuracy": 0.21497285068035127, + "num_tokens": 13002611.0, + "step": 5885 + }, + { + "entropy": 5.371519708633423, + "epoch": 5.937972768532527, + "grad_norm": 1.421875, + "learning_rate": 0.00024070363113623018, + "loss": 4.7082, + "mean_token_accuracy": 0.21265474408864976, + "num_tokens": 13013510.0, + "step": 5890 + }, + { + "entropy": 5.40354437828064, + "epoch": 5.943015632879476, + "grad_norm": 1.3359375, + "learning_rate": 0.00024031165412249938, + "loss": 4.8571, + "mean_token_accuracy": 0.19604741930961608, + "num_tokens": 13025962.0, + "step": 5895 + }, + { + "entropy": 5.315206623077392, + "epoch": 5.948058497226425, + "grad_norm": 1.421875, + "learning_rate": 0.000239919784920948, + "loss": 4.7802, + "mean_token_accuracy": 0.2017505183815956, + "num_tokens": 13036751.0, + "step": 5900 + }, + { + "entropy": 5.318692922592163, + "epoch": 5.953101361573374, + "grad_norm": 1.2421875, + "learning_rate": 0.00023952802474951418, + "loss": 4.7549, + "mean_token_accuracy": 0.20791540592908858, + "num_tokens": 13048302.0, + "step": 5905 + }, + { + "entropy": 5.40013747215271, + "epoch": 5.958144225920323, + "grad_norm": 1.140625, + "learning_rate": 0.00023913637482579774, + "loss": 4.8031, + "mean_token_accuracy": 0.2007676437497139, + "num_tokens": 13059879.0, + "step": 5910 + }, + { + "entropy": 5.39221043586731, + "epoch": 5.9631870902672715, + "grad_norm": 1.34375, + "learning_rate": 0.00023874483636705563, + "loss": 4.7488, + "mean_token_accuracy": 0.20411685705184937, + "num_tokens": 13071540.0, + "step": 5915 + }, + { + "entropy": 5.358206176757813, + "epoch": 5.968229954614221, + "grad_norm": 1.3046875, + "learning_rate": 0.00023835341059019838, + "loss": 4.7673, + "mean_token_accuracy": 0.2024170696735382, + "num_tokens": 13082981.0, + "step": 5920 + }, + { + "entropy": 5.371860218048096, + "epoch": 5.97327281896117, + "grad_norm": 1.25, + "learning_rate": 0.00023796209871178642, + "loss": 4.7424, + "mean_token_accuracy": 0.20808600932359694, + "num_tokens": 13092669.0, + "step": 5925 + }, + { + "entropy": 5.33985652923584, + "epoch": 5.978315683308119, + "grad_norm": 1.3671875, + "learning_rate": 0.00023757090194802605, + "loss": 4.807, + "mean_token_accuracy": 0.20043543875217437, + "num_tokens": 13104081.0, + "step": 5930 + }, + { + "entropy": 5.336535930633545, + "epoch": 5.983358547655068, + "grad_norm": 1.3984375, + "learning_rate": 0.00023717982151476592, + "loss": 4.8211, + "mean_token_accuracy": 0.20272261053323745, + "num_tokens": 13115068.0, + "step": 5935 + }, + { + "entropy": 5.359402418136597, + "epoch": 5.988401412002017, + "grad_norm": 1.375, + "learning_rate": 0.00023678885862749282, + "loss": 4.7476, + "mean_token_accuracy": 0.2031234934926033, + "num_tokens": 13125930.0, + "step": 5940 + }, + { + "entropy": 5.453249120712281, + "epoch": 5.993444276348966, + "grad_norm": 1.1796875, + "learning_rate": 0.00023639801450132863, + "loss": 4.8517, + "mean_token_accuracy": 0.2007930040359497, + "num_tokens": 13137487.0, + "step": 5945 + }, + { + "entropy": 5.37138524055481, + "epoch": 5.998487140695915, + "grad_norm": 1.4765625, + "learning_rate": 0.00023600729035102585, + "loss": 4.6566, + "mean_token_accuracy": 0.21346824765205383, + "num_tokens": 13147542.0, + "step": 5950 + }, + { + "entropy": 5.359211126963298, + "epoch": 6.0030257186081695, + "grad_norm": 1.296875, + "learning_rate": 0.0002356166873909642, + "loss": 4.6838, + "mean_token_accuracy": 0.2145542949438095, + "num_tokens": 13156473.0, + "step": 5955 + }, + { + "entropy": 5.336161470413208, + "epoch": 6.008068582955119, + "grad_norm": 1.3125, + "learning_rate": 0.00023522620683514645, + "loss": 4.6062, + "mean_token_accuracy": 0.2217238202691078, + "num_tokens": 13167225.0, + "step": 5960 + }, + { + "entropy": 5.365195655822754, + "epoch": 6.013111447302068, + "grad_norm": 1.5703125, + "learning_rate": 0.00023483584989719553, + "loss": 4.5606, + "mean_token_accuracy": 0.220480115711689, + "num_tokens": 13178034.0, + "step": 5965 + }, + { + "entropy": 5.463253307342529, + "epoch": 6.018154311649017, + "grad_norm": 1.28125, + "learning_rate": 0.00023444561779034957, + "loss": 4.7097, + "mean_token_accuracy": 0.21369642317295073, + "num_tokens": 13189610.0, + "step": 5970 + }, + { + "entropy": 5.399715805053711, + "epoch": 6.023197175995966, + "grad_norm": 1.1328125, + "learning_rate": 0.00023405551172745904, + "loss": 4.6941, + "mean_token_accuracy": 0.21796804219484328, + "num_tokens": 13201392.0, + "step": 5975 + }, + { + "entropy": 5.376670169830322, + "epoch": 6.028240040342915, + "grad_norm": 1.21875, + "learning_rate": 0.00023366553292098247, + "loss": 4.6309, + "mean_token_accuracy": 0.22139676958322524, + "num_tokens": 13213125.0, + "step": 5980 + }, + { + "entropy": 5.390435981750488, + "epoch": 6.033282904689864, + "grad_norm": 1.203125, + "learning_rate": 0.0002332756825829832, + "loss": 4.6585, + "mean_token_accuracy": 0.21771981567144394, + "num_tokens": 13224287.0, + "step": 5985 + }, + { + "entropy": 5.368021631240845, + "epoch": 6.038325769036813, + "grad_norm": 1.4140625, + "learning_rate": 0.0002328859619251249, + "loss": 4.6452, + "mean_token_accuracy": 0.2108944609761238, + "num_tokens": 13234035.0, + "step": 5990 + }, + { + "entropy": 5.319368362426758, + "epoch": 6.043368633383762, + "grad_norm": 1.1953125, + "learning_rate": 0.00023249637215866847, + "loss": 4.5883, + "mean_token_accuracy": 0.22029249966144562, + "num_tokens": 13245029.0, + "step": 5995 + }, + { + "entropy": 5.3847626686096195, + "epoch": 6.048411497730711, + "grad_norm": 1.1796875, + "learning_rate": 0.0002321069144944678, + "loss": 4.7143, + "mean_token_accuracy": 0.2131657525897026, + "num_tokens": 13256844.0, + "step": 6000 + }, + { + "epoch": 6.048411497730711, + "eval_entropy": 5.204124319644374, + "eval_loss": 5.655833721160889, + "eval_mean_token_accuracy": 0.15606892571497813, + "eval_num_tokens": 13256844.0, + "eval_runtime": 2.0456, + "eval_samples_per_second": 1534.049, + "eval_steps_per_second": 192.123, + "step": 6000 + }, + { + "entropy": 5.3044281005859375, + "epoch": 6.05345436207766, + "grad_norm": 1.3125, + "learning_rate": 0.00023171759014296639, + "loss": 4.5661, + "mean_token_accuracy": 0.21968138217926025, + "num_tokens": 13269033.0, + "step": 6005 + }, + { + "entropy": 5.373870420455932, + "epoch": 6.058497226424609, + "grad_norm": 1.265625, + "learning_rate": 0.00023132840031419316, + "loss": 4.6246, + "mean_token_accuracy": 0.22420395761728287, + "num_tokens": 13280554.0, + "step": 6010 + }, + { + "entropy": 5.3554305076599125, + "epoch": 6.063540090771558, + "grad_norm": 1.3515625, + "learning_rate": 0.00023093934621775926, + "loss": 4.6383, + "mean_token_accuracy": 0.21762033998966218, + "num_tokens": 13292542.0, + "step": 6015 + }, + { + "entropy": 5.313539266586304, + "epoch": 6.068582955118507, + "grad_norm": 1.359375, + "learning_rate": 0.00023055042906285368, + "loss": 4.5749, + "mean_token_accuracy": 0.2176797240972519, + "num_tokens": 13304254.0, + "step": 6020 + }, + { + "entropy": 5.43445520401001, + "epoch": 6.073625819465456, + "grad_norm": 1.484375, + "learning_rate": 0.0002301616500582398, + "loss": 4.7142, + "mean_token_accuracy": 0.2070741280913353, + "num_tokens": 13313243.0, + "step": 6025 + }, + { + "entropy": 5.311390542984009, + "epoch": 6.078668683812405, + "grad_norm": 1.265625, + "learning_rate": 0.00022977301041225207, + "loss": 4.6181, + "mean_token_accuracy": 0.2188905104994774, + "num_tokens": 13324519.0, + "step": 6030 + }, + { + "entropy": 5.357176828384399, + "epoch": 6.083711548159354, + "grad_norm": 1.4375, + "learning_rate": 0.00022938451133279114, + "loss": 4.6547, + "mean_token_accuracy": 0.21753127127885818, + "num_tokens": 13335734.0, + "step": 6035 + }, + { + "entropy": 5.370665502548218, + "epoch": 6.088754412506304, + "grad_norm": 1.390625, + "learning_rate": 0.00022899615402732133, + "loss": 4.5943, + "mean_token_accuracy": 0.22275642305612564, + "num_tokens": 13347660.0, + "step": 6040 + }, + { + "entropy": 5.350598764419556, + "epoch": 6.093797276853253, + "grad_norm": 1.453125, + "learning_rate": 0.00022860793970286592, + "loss": 4.6277, + "mean_token_accuracy": 0.21988619714975358, + "num_tokens": 13357617.0, + "step": 6045 + }, + { + "entropy": 5.395689201354981, + "epoch": 6.098840141200202, + "grad_norm": 1.328125, + "learning_rate": 0.0002282198695660042, + "loss": 4.5862, + "mean_token_accuracy": 0.2198387399315834, + "num_tokens": 13368768.0, + "step": 6050 + }, + { + "entropy": 5.346694993972778, + "epoch": 6.103883005547151, + "grad_norm": 1.4140625, + "learning_rate": 0.00022783194482286684, + "loss": 4.6453, + "mean_token_accuracy": 0.22039656490087509, + "num_tokens": 13379387.0, + "step": 6055 + }, + { + "entropy": 5.406846761703491, + "epoch": 6.1089258698941, + "grad_norm": 1.390625, + "learning_rate": 0.0002274441666791332, + "loss": 4.7376, + "mean_token_accuracy": 0.21248052269220352, + "num_tokens": 13389672.0, + "step": 6060 + }, + { + "entropy": 5.338963890075684, + "epoch": 6.113968734241049, + "grad_norm": 1.234375, + "learning_rate": 0.00022705653634002648, + "loss": 4.6231, + "mean_token_accuracy": 0.21946075558662415, + "num_tokens": 13401283.0, + "step": 6065 + }, + { + "entropy": 5.415562868118286, + "epoch": 6.119011598587998, + "grad_norm": 1.390625, + "learning_rate": 0.00022666905501031077, + "loss": 4.6379, + "mean_token_accuracy": 0.21679987907409667, + "num_tokens": 13412204.0, + "step": 6070 + }, + { + "entropy": 5.370386219024658, + "epoch": 6.124054462934947, + "grad_norm": 1.5859375, + "learning_rate": 0.0002262817238942869, + "loss": 4.6357, + "mean_token_accuracy": 0.2189243346452713, + "num_tokens": 13421604.0, + "step": 6075 + }, + { + "entropy": 5.350414276123047, + "epoch": 6.1290973272818965, + "grad_norm": 1.3984375, + "learning_rate": 0.0002258945441957892, + "loss": 4.5956, + "mean_token_accuracy": 0.22632325291633607, + "num_tokens": 13433495.0, + "step": 6080 + }, + { + "entropy": 5.244142532348633, + "epoch": 6.134140191628846, + "grad_norm": 1.3515625, + "learning_rate": 0.0002255075171181807, + "loss": 4.5535, + "mean_token_accuracy": 0.22932200133800507, + "num_tokens": 13444238.0, + "step": 6085 + }, + { + "entropy": 5.355984163284302, + "epoch": 6.139183055975794, + "grad_norm": 1.4296875, + "learning_rate": 0.00022512064386435082, + "loss": 4.6282, + "mean_token_accuracy": 0.21517039686441422, + "num_tokens": 13455278.0, + "step": 6090 + }, + { + "entropy": 5.316662979125977, + "epoch": 6.144225920322743, + "grad_norm": 1.5234375, + "learning_rate": 0.0002247339256367103, + "loss": 4.6129, + "mean_token_accuracy": 0.22129908949136734, + "num_tokens": 13465557.0, + "step": 6095 + }, + { + "entropy": 5.310370254516601, + "epoch": 6.149268784669692, + "grad_norm": 1.2890625, + "learning_rate": 0.00022434736363718854, + "loss": 4.6029, + "mean_token_accuracy": 0.21749912351369857, + "num_tokens": 13476016.0, + "step": 6100 + }, + { + "entropy": 5.364461898803711, + "epoch": 6.154311649016641, + "grad_norm": 1.2109375, + "learning_rate": 0.00022396095906722897, + "loss": 4.7031, + "mean_token_accuracy": 0.21485815197229385, + "num_tokens": 13486948.0, + "step": 6105 + }, + { + "entropy": 5.438597822189331, + "epoch": 6.15935451336359, + "grad_norm": 1.1875, + "learning_rate": 0.0002235747131277861, + "loss": 4.7091, + "mean_token_accuracy": 0.21536669433116912, + "num_tokens": 13500019.0, + "step": 6110 + }, + { + "entropy": 5.407887125015259, + "epoch": 6.164397377710539, + "grad_norm": 1.3359375, + "learning_rate": 0.00022318862701932102, + "loss": 4.6515, + "mean_token_accuracy": 0.2189772292971611, + "num_tokens": 13510330.0, + "step": 6115 + }, + { + "entropy": 5.355879449844361, + "epoch": 6.1694402420574885, + "grad_norm": 1.484375, + "learning_rate": 0.00022280270194179836, + "loss": 4.5946, + "mean_token_accuracy": 0.2200791969895363, + "num_tokens": 13519864.0, + "step": 6120 + }, + { + "entropy": 5.361207008361816, + "epoch": 6.174483106404438, + "grad_norm": 1.3046875, + "learning_rate": 0.00022241693909468214, + "loss": 4.6766, + "mean_token_accuracy": 0.2130996748805046, + "num_tokens": 13531244.0, + "step": 6125 + }, + { + "entropy": 5.339847183227539, + "epoch": 6.179525970751387, + "grad_norm": 1.4765625, + "learning_rate": 0.00022203133967693217, + "loss": 4.7151, + "mean_token_accuracy": 0.20595722049474716, + "num_tokens": 13542947.0, + "step": 6130 + }, + { + "entropy": 5.30449914932251, + "epoch": 6.184568835098336, + "grad_norm": 1.359375, + "learning_rate": 0.00022164590488700042, + "loss": 4.5985, + "mean_token_accuracy": 0.21331556439399718, + "num_tokens": 13553218.0, + "step": 6135 + }, + { + "entropy": 5.317038726806641, + "epoch": 6.189611699445285, + "grad_norm": 1.453125, + "learning_rate": 0.00022126063592282696, + "loss": 4.5688, + "mean_token_accuracy": 0.22169348001480102, + "num_tokens": 13562894.0, + "step": 6140 + }, + { + "entropy": 5.316820907592773, + "epoch": 6.194654563792234, + "grad_norm": 1.3984375, + "learning_rate": 0.00022087553398183684, + "loss": 4.6617, + "mean_token_accuracy": 0.21474820077419282, + "num_tokens": 13574135.0, + "step": 6145 + }, + { + "entropy": 5.402669668197632, + "epoch": 6.199697428139183, + "grad_norm": 1.328125, + "learning_rate": 0.00022049060026093555, + "loss": 4.6639, + "mean_token_accuracy": 0.21896152347326278, + "num_tokens": 13585070.0, + "step": 6150 + }, + { + "entropy": 5.411625623703003, + "epoch": 6.204740292486132, + "grad_norm": 1.2265625, + "learning_rate": 0.00022010583595650617, + "loss": 4.6703, + "mean_token_accuracy": 0.21271731555461884, + "num_tokens": 13596732.0, + "step": 6155 + }, + { + "entropy": 5.348358297348023, + "epoch": 6.2097831568330815, + "grad_norm": 1.65625, + "learning_rate": 0.00021972124226440483, + "loss": 4.537, + "mean_token_accuracy": 0.22894130051136016, + "num_tokens": 13607080.0, + "step": 6160 + }, + { + "entropy": 5.266700696945191, + "epoch": 6.214826021180031, + "grad_norm": 1.4375, + "learning_rate": 0.00021933682037995772, + "loss": 4.547, + "mean_token_accuracy": 0.22299013733863832, + "num_tokens": 13617666.0, + "step": 6165 + }, + { + "entropy": 5.3108926773071286, + "epoch": 6.21986888552698, + "grad_norm": 1.3671875, + "learning_rate": 0.00021895257149795694, + "loss": 4.6349, + "mean_token_accuracy": 0.21472382843494414, + "num_tokens": 13628772.0, + "step": 6170 + }, + { + "entropy": 5.349781131744384, + "epoch": 6.224911749873929, + "grad_norm": 1.2890625, + "learning_rate": 0.0002185684968126569, + "loss": 4.6771, + "mean_token_accuracy": 0.21623874008655547, + "num_tokens": 13638895.0, + "step": 6175 + }, + { + "entropy": 5.330606746673584, + "epoch": 6.229954614220877, + "grad_norm": 1.3359375, + "learning_rate": 0.0002181845975177703, + "loss": 4.638, + "mean_token_accuracy": 0.23032449632883073, + "num_tokens": 13649485.0, + "step": 6180 + }, + { + "entropy": 5.3922313213348385, + "epoch": 6.234997478567826, + "grad_norm": 1.359375, + "learning_rate": 0.00021780087480646548, + "loss": 4.7619, + "mean_token_accuracy": 0.20294700264930726, + "num_tokens": 13661645.0, + "step": 6185 + }, + { + "entropy": 5.394072961807251, + "epoch": 6.240040342914775, + "grad_norm": 1.3515625, + "learning_rate": 0.0002174173298713611, + "loss": 4.6889, + "mean_token_accuracy": 0.22105761617422104, + "num_tokens": 13672835.0, + "step": 6190 + }, + { + "entropy": 5.372888088226318, + "epoch": 6.245083207261724, + "grad_norm": 1.2578125, + "learning_rate": 0.00021703396390452385, + "loss": 4.6908, + "mean_token_accuracy": 0.2088285729289055, + "num_tokens": 13684456.0, + "step": 6195 + }, + { + "entropy": 5.354840993881226, + "epoch": 6.2501260716086735, + "grad_norm": 1.3203125, + "learning_rate": 0.0002166507780974639, + "loss": 4.6093, + "mean_token_accuracy": 0.22428787052631377, + "num_tokens": 13694919.0, + "step": 6200 + }, + { + "entropy": 5.369553947448731, + "epoch": 6.255168935955623, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162677736411317, + "loss": 4.6122, + "mean_token_accuracy": 0.22572187781333924, + "num_tokens": 13704872.0, + "step": 6205 + }, + { + "entropy": 5.3212902545928955, + "epoch": 6.260211800302572, + "grad_norm": 1.25, + "learning_rate": 0.00021588495172591377, + "loss": 4.6228, + "mean_token_accuracy": 0.22438545972108842, + "num_tokens": 13715937.0, + "step": 6210 + }, + { + "entropy": 5.334011268615723, + "epoch": 6.265254664649521, + "grad_norm": 1.2890625, + "learning_rate": 0.00021550231354162957, + "loss": 4.584, + "mean_token_accuracy": 0.2193437248468399, + "num_tokens": 13726785.0, + "step": 6215 + }, + { + "entropy": 5.341703176498413, + "epoch": 6.27029752899647, + "grad_norm": 1.203125, + "learning_rate": 0.00021511986027752733, + "loss": 4.6651, + "mean_token_accuracy": 0.21637360155582427, + "num_tokens": 13738302.0, + "step": 6220 + }, + { + "entropy": 5.392094945907592, + "epoch": 6.275340393343419, + "grad_norm": 1.4765625, + "learning_rate": 0.0002147375931222807, + "loss": 4.6329, + "mean_token_accuracy": 0.21986114233732224, + "num_tokens": 13748602.0, + "step": 6225 + }, + { + "entropy": 5.350520086288452, + "epoch": 6.280383257690368, + "grad_norm": 1.5234375, + "learning_rate": 0.00021435551326398478, + "loss": 4.6456, + "mean_token_accuracy": 0.21305105686187745, + "num_tokens": 13758861.0, + "step": 6230 + }, + { + "entropy": 5.300534296035766, + "epoch": 6.285426122037317, + "grad_norm": 1.296875, + "learning_rate": 0.00021397362189015263, + "loss": 4.677, + "mean_token_accuracy": 0.21868122965097428, + "num_tokens": 13769402.0, + "step": 6235 + }, + { + "entropy": 5.353175067901612, + "epoch": 6.290468986384266, + "grad_norm": 1.2890625, + "learning_rate": 0.00021359192018771127, + "loss": 4.6571, + "mean_token_accuracy": 0.21360769867897034, + "num_tokens": 13779899.0, + "step": 6240 + }, + { + "entropy": 5.359490823745728, + "epoch": 6.2955118507312156, + "grad_norm": 1.3359375, + "learning_rate": 0.00021321040934299852, + "loss": 4.6481, + "mean_token_accuracy": 0.21949803233146667, + "num_tokens": 13790417.0, + "step": 6245 + }, + { + "entropy": 5.351253271102905, + "epoch": 6.300554715078165, + "grad_norm": 1.25, + "learning_rate": 0.00021282909054175903, + "loss": 4.7298, + "mean_token_accuracy": 0.21616025418043136, + "num_tokens": 13801699.0, + "step": 6250 + }, + { + "entropy": 5.4068121910095215, + "epoch": 6.305597579425114, + "grad_norm": 1.328125, + "learning_rate": 0.0002124479649691402, + "loss": 4.7392, + "mean_token_accuracy": 0.20651510655879973, + "num_tokens": 13813364.0, + "step": 6255 + }, + { + "entropy": 5.340871429443359, + "epoch": 6.310640443772063, + "grad_norm": 1.1953125, + "learning_rate": 0.00021206703380968923, + "loss": 4.6, + "mean_token_accuracy": 0.2187330424785614, + "num_tokens": 13824506.0, + "step": 6260 + }, + { + "entropy": 5.336052083969117, + "epoch": 6.315683308119011, + "grad_norm": 1.1015625, + "learning_rate": 0.00021168629824734887, + "loss": 4.6607, + "mean_token_accuracy": 0.21441861540079116, + "num_tokens": 13836659.0, + "step": 6265 + }, + { + "entropy": 5.348361825942993, + "epoch": 6.32072617246596, + "grad_norm": 1.296875, + "learning_rate": 0.00021130575946545416, + "loss": 4.624, + "mean_token_accuracy": 0.2183840185403824, + "num_tokens": 13848710.0, + "step": 6270 + }, + { + "entropy": 5.3680816173553465, + "epoch": 6.325769036812909, + "grad_norm": 1.3203125, + "learning_rate": 0.00021092541864672825, + "loss": 4.6752, + "mean_token_accuracy": 0.21302510052919388, + "num_tokens": 13860848.0, + "step": 6275 + }, + { + "entropy": 5.298371648788452, + "epoch": 6.3308119011598585, + "grad_norm": 1.3671875, + "learning_rate": 0.00021054527697327935, + "loss": 4.6038, + "mean_token_accuracy": 0.2222062274813652, + "num_tokens": 13871765.0, + "step": 6280 + }, + { + "entropy": 5.34125771522522, + "epoch": 6.335854765506808, + "grad_norm": 1.25, + "learning_rate": 0.00021016533562659634, + "loss": 4.6614, + "mean_token_accuracy": 0.2144114688038826, + "num_tokens": 13883140.0, + "step": 6285 + }, + { + "entropy": 5.373456430435181, + "epoch": 6.340897629853757, + "grad_norm": 1.3671875, + "learning_rate": 0.00020978559578754586, + "loss": 4.5851, + "mean_token_accuracy": 0.21404719054698945, + "num_tokens": 13894054.0, + "step": 6290 + }, + { + "entropy": 5.344057226181031, + "epoch": 6.345940494200706, + "grad_norm": 1.234375, + "learning_rate": 0.000209406058636368, + "loss": 4.6554, + "mean_token_accuracy": 0.22404983639717102, + "num_tokens": 13906268.0, + "step": 6295 + }, + { + "entropy": 5.376866865158081, + "epoch": 6.350983358547655, + "grad_norm": 1.3203125, + "learning_rate": 0.00020902672535267315, + "loss": 4.6842, + "mean_token_accuracy": 0.21459552645683289, + "num_tokens": 13918450.0, + "step": 6300 + }, + { + "entropy": 5.4287337303161625, + "epoch": 6.356026222894604, + "grad_norm": 1.4296875, + "learning_rate": 0.00020864759711543762, + "loss": 4.7571, + "mean_token_accuracy": 0.20267379730939866, + "num_tokens": 13930725.0, + "step": 6305 + }, + { + "entropy": 5.338146209716797, + "epoch": 6.361069087241553, + "grad_norm": 1.421875, + "learning_rate": 0.0002082686751030009, + "loss": 4.6797, + "mean_token_accuracy": 0.21307668685913086, + "num_tokens": 13942566.0, + "step": 6310 + }, + { + "entropy": 5.3399018287658695, + "epoch": 6.366111951588502, + "grad_norm": 1.453125, + "learning_rate": 0.0002078899604930613, + "loss": 4.6377, + "mean_token_accuracy": 0.2226533278822899, + "num_tokens": 13952909.0, + "step": 6315 + }, + { + "entropy": 5.390378141403199, + "epoch": 6.371154815935451, + "grad_norm": 1.328125, + "learning_rate": 0.00020751145446267267, + "loss": 4.6753, + "mean_token_accuracy": 0.20825050324201583, + "num_tokens": 13963726.0, + "step": 6320 + }, + { + "entropy": 5.388576364517212, + "epoch": 6.3761976802824005, + "grad_norm": 1.2578125, + "learning_rate": 0.0002071331581882403, + "loss": 4.6808, + "mean_token_accuracy": 0.2166823759675026, + "num_tokens": 13974795.0, + "step": 6325 + }, + { + "entropy": 5.278568983078003, + "epoch": 6.38124054462935, + "grad_norm": 1.3125, + "learning_rate": 0.00020675507284551793, + "loss": 4.5754, + "mean_token_accuracy": 0.22193012982606888, + "num_tokens": 13985801.0, + "step": 6330 + }, + { + "entropy": 5.304547882080078, + "epoch": 6.386283408976299, + "grad_norm": 1.359375, + "learning_rate": 0.00020637719960960333, + "loss": 4.5997, + "mean_token_accuracy": 0.22491419911384583, + "num_tokens": 13996559.0, + "step": 6335 + }, + { + "entropy": 5.331219720840454, + "epoch": 6.391326273323248, + "grad_norm": 1.4453125, + "learning_rate": 0.00020599953965493535, + "loss": 4.6439, + "mean_token_accuracy": 0.22134149819612503, + "num_tokens": 14006937.0, + "step": 6340 + }, + { + "entropy": 5.240631008148194, + "epoch": 6.396369137670197, + "grad_norm": 1.3671875, + "learning_rate": 0.00020562209415528982, + "loss": 4.5258, + "mean_token_accuracy": 0.2256957098841667, + "num_tokens": 14018304.0, + "step": 6345 + }, + { + "entropy": 5.362255668640136, + "epoch": 6.401412002017146, + "grad_norm": 1.3125, + "learning_rate": 0.00020524486428377605, + "loss": 4.6826, + "mean_token_accuracy": 0.2162995755672455, + "num_tokens": 14030515.0, + "step": 6350 + }, + { + "entropy": 5.346472644805909, + "epoch": 6.406454866364095, + "grad_norm": 1.4375, + "learning_rate": 0.0002048678512128332, + "loss": 4.6712, + "mean_token_accuracy": 0.2177198573946953, + "num_tokens": 14043174.0, + "step": 6355 + }, + { + "entropy": 5.35426893234253, + "epoch": 6.411497730711044, + "grad_norm": 1.46875, + "learning_rate": 0.00020449105611422658, + "loss": 4.5765, + "mean_token_accuracy": 0.21691970378160477, + "num_tokens": 14053450.0, + "step": 6360 + }, + { + "entropy": 5.310212850570679, + "epoch": 6.416540595057993, + "grad_norm": 1.4453125, + "learning_rate": 0.00020411448015904415, + "loss": 4.6163, + "mean_token_accuracy": 0.21984127759933472, + "num_tokens": 14063672.0, + "step": 6365 + }, + { + "entropy": 5.348818016052246, + "epoch": 6.421583459404942, + "grad_norm": 1.34375, + "learning_rate": 0.00020373812451769248, + "loss": 4.6434, + "mean_token_accuracy": 0.22358427196741104, + "num_tokens": 14074372.0, + "step": 6370 + }, + { + "entropy": 5.390470409393311, + "epoch": 6.426626323751891, + "grad_norm": 1.3515625, + "learning_rate": 0.00020336199035989372, + "loss": 4.6654, + "mean_token_accuracy": 0.21343498528003693, + "num_tokens": 14086006.0, + "step": 6375 + }, + { + "entropy": 5.342592477798462, + "epoch": 6.43166918809884, + "grad_norm": 1.453125, + "learning_rate": 0.0002029860788546814, + "loss": 4.6187, + "mean_token_accuracy": 0.2203216001391411, + "num_tokens": 14096694.0, + "step": 6380 + }, + { + "entropy": 5.367334270477295, + "epoch": 6.436712052445789, + "grad_norm": 1.375, + "learning_rate": 0.00020261039117039725, + "loss": 4.6466, + "mean_token_accuracy": 0.21076540052890777, + "num_tokens": 14106734.0, + "step": 6385 + }, + { + "entropy": 5.361822891235351, + "epoch": 6.441754916792738, + "grad_norm": 1.4765625, + "learning_rate": 0.00020223492847468722, + "loss": 4.6802, + "mean_token_accuracy": 0.21798644959926605, + "num_tokens": 14117488.0, + "step": 6390 + }, + { + "entropy": 5.377425670623779, + "epoch": 6.446797781139687, + "grad_norm": 1.5, + "learning_rate": 0.0002018596919344981, + "loss": 4.6585, + "mean_token_accuracy": 0.22138290703296662, + "num_tokens": 14127661.0, + "step": 6395 + }, + { + "entropy": 5.357834720611573, + "epoch": 6.451840645486636, + "grad_norm": 1.2890625, + "learning_rate": 0.00020148468271607352, + "loss": 4.6532, + "mean_token_accuracy": 0.2156420975923538, + "num_tokens": 14140062.0, + "step": 6400 + }, + { + "entropy": 5.3001574039459225, + "epoch": 6.4568835098335855, + "grad_norm": 1.203125, + "learning_rate": 0.00020110990198495105, + "loss": 4.6498, + "mean_token_accuracy": 0.20930435806512832, + "num_tokens": 14151694.0, + "step": 6405 + }, + { + "entropy": 5.346147918701172, + "epoch": 6.461926374180535, + "grad_norm": 1.390625, + "learning_rate": 0.0002007353509059575, + "loss": 4.766, + "mean_token_accuracy": 0.20646919906139374, + "num_tokens": 14162783.0, + "step": 6410 + }, + { + "entropy": 5.345625734329223, + "epoch": 6.466969238527484, + "grad_norm": 1.453125, + "learning_rate": 0.00020036103064320664, + "loss": 4.6514, + "mean_token_accuracy": 0.2207430496811867, + "num_tokens": 14173630.0, + "step": 6415 + }, + { + "entropy": 5.373542451858521, + "epoch": 6.472012102874433, + "grad_norm": 1.3046875, + "learning_rate": 0.00019998694236009423, + "loss": 4.6738, + "mean_token_accuracy": 0.2150516092777252, + "num_tokens": 14185172.0, + "step": 6420 + }, + { + "entropy": 5.416106700897217, + "epoch": 6.477054967221382, + "grad_norm": 1.40625, + "learning_rate": 0.0001996130872192955, + "loss": 4.7052, + "mean_token_accuracy": 0.21251223981380463, + "num_tokens": 14197059.0, + "step": 6425 + }, + { + "entropy": 5.371108531951904, + "epoch": 6.482097831568331, + "grad_norm": 1.4921875, + "learning_rate": 0.00019923946638276052, + "loss": 4.6129, + "mean_token_accuracy": 0.21653929054737092, + "num_tokens": 14206589.0, + "step": 6430 + }, + { + "entropy": 5.263812732696533, + "epoch": 6.48714069591528, + "grad_norm": 1.3046875, + "learning_rate": 0.0001988660810117118, + "loss": 4.6039, + "mean_token_accuracy": 0.2187914878129959, + "num_tokens": 14218225.0, + "step": 6435 + }, + { + "entropy": 5.336437034606933, + "epoch": 6.492183560262229, + "grad_norm": 1.3359375, + "learning_rate": 0.0001984929322666395, + "loss": 4.6692, + "mean_token_accuracy": 0.2155090868473053, + "num_tokens": 14229758.0, + "step": 6440 + }, + { + "entropy": 5.284608507156372, + "epoch": 6.4972264246091775, + "grad_norm": 1.375, + "learning_rate": 0.00019812002130729857, + "loss": 4.537, + "mean_token_accuracy": 0.22633844316005708, + "num_tokens": 14240549.0, + "step": 6445 + }, + { + "entropy": 5.347523021697998, + "epoch": 6.502269288956127, + "grad_norm": 1.4140625, + "learning_rate": 0.00019774734929270483, + "loss": 4.5896, + "mean_token_accuracy": 0.21854414492845536, + "num_tokens": 14250542.0, + "step": 6450 + }, + { + "entropy": 5.252294301986694, + "epoch": 6.507312153303076, + "grad_norm": 1.4765625, + "learning_rate": 0.00019737491738113167, + "loss": 4.5954, + "mean_token_accuracy": 0.2224308580160141, + "num_tokens": 14260354.0, + "step": 6455 + }, + { + "entropy": 5.374626922607422, + "epoch": 6.512355017650025, + "grad_norm": 1.4375, + "learning_rate": 0.00019700272673010588, + "loss": 4.7269, + "mean_token_accuracy": 0.21083271354436875, + "num_tokens": 14271929.0, + "step": 6460 + }, + { + "entropy": 5.343776369094849, + "epoch": 6.517397881996974, + "grad_norm": 1.2109375, + "learning_rate": 0.0001966307784964046, + "loss": 4.6224, + "mean_token_accuracy": 0.2144081175327301, + "num_tokens": 14283249.0, + "step": 6465 + }, + { + "entropy": 5.373244571685791, + "epoch": 6.522440746343923, + "grad_norm": 1.265625, + "learning_rate": 0.00019625907383605162, + "loss": 4.714, + "mean_token_accuracy": 0.21002006083726882, + "num_tokens": 14293633.0, + "step": 6470 + }, + { + "entropy": 5.422092294692993, + "epoch": 6.527483610690872, + "grad_norm": 1.5234375, + "learning_rate": 0.00019588761390431354, + "loss": 4.7038, + "mean_token_accuracy": 0.21525713056325912, + "num_tokens": 14304219.0, + "step": 6475 + }, + { + "entropy": 5.313680267333984, + "epoch": 6.532526475037821, + "grad_norm": 1.3125, + "learning_rate": 0.00019551639985569642, + "loss": 4.6033, + "mean_token_accuracy": 0.22535481452941894, + "num_tokens": 14315355.0, + "step": 6480 + }, + { + "entropy": 5.42285795211792, + "epoch": 6.5375693393847705, + "grad_norm": 1.265625, + "learning_rate": 0.00019514543284394203, + "loss": 4.7739, + "mean_token_accuracy": 0.20810849070549012, + "num_tokens": 14327007.0, + "step": 6485 + }, + { + "entropy": 5.29453330039978, + "epoch": 6.54261220373172, + "grad_norm": 1.3984375, + "learning_rate": 0.00019477471402202452, + "loss": 4.6022, + "mean_token_accuracy": 0.21870456039905548, + "num_tokens": 14337981.0, + "step": 6490 + }, + { + "entropy": 5.371618175506592, + "epoch": 6.547655068078669, + "grad_norm": 1.234375, + "learning_rate": 0.00019440424454214645, + "loss": 4.7186, + "mean_token_accuracy": 0.2161049574613571, + "num_tokens": 14350727.0, + "step": 6495 + }, + { + "entropy": 5.449799823760986, + "epoch": 6.552697932425618, + "grad_norm": 1.3125, + "learning_rate": 0.00019403402555573547, + "loss": 4.783, + "mean_token_accuracy": 0.20688835978507997, + "num_tokens": 14362898.0, + "step": 6500 + }, + { + "entropy": 5.393431043624878, + "epoch": 6.557740796772567, + "grad_norm": 1.53125, + "learning_rate": 0.00019366405821344074, + "loss": 4.6567, + "mean_token_accuracy": 0.21516457498073577, + "num_tokens": 14373780.0, + "step": 6505 + }, + { + "entropy": 5.304720497131347, + "epoch": 6.562783661119516, + "grad_norm": 1.203125, + "learning_rate": 0.0001932943436651295, + "loss": 4.6348, + "mean_token_accuracy": 0.21173483729362488, + "num_tokens": 14384637.0, + "step": 6510 + }, + { + "entropy": 5.371453905105591, + "epoch": 6.567826525466465, + "grad_norm": 1.25, + "learning_rate": 0.00019292488305988276, + "loss": 4.6329, + "mean_token_accuracy": 0.2233852192759514, + "num_tokens": 14396524.0, + "step": 6515 + }, + { + "entropy": 5.377205085754395, + "epoch": 6.572869389813414, + "grad_norm": 1.46875, + "learning_rate": 0.0001925556775459929, + "loss": 4.6168, + "mean_token_accuracy": 0.21723289787769318, + "num_tokens": 14406098.0, + "step": 6520 + }, + { + "entropy": 5.355901622772217, + "epoch": 6.577912254160363, + "grad_norm": 1.4375, + "learning_rate": 0.000192186728270959, + "loss": 4.6645, + "mean_token_accuracy": 0.20990855246782303, + "num_tokens": 14417324.0, + "step": 6525 + }, + { + "entropy": 5.381169271469116, + "epoch": 6.5829551185073125, + "grad_norm": 1.4765625, + "learning_rate": 0.000191818036381484, + "loss": 4.6631, + "mean_token_accuracy": 0.21148277074098587, + "num_tokens": 14427776.0, + "step": 6530 + }, + { + "entropy": 5.30445294380188, + "epoch": 6.587997982854262, + "grad_norm": 1.515625, + "learning_rate": 0.00019144960302347065, + "loss": 4.6303, + "mean_token_accuracy": 0.2213727429509163, + "num_tokens": 14438730.0, + "step": 6535 + }, + { + "entropy": 5.361790180206299, + "epoch": 6.593040847201211, + "grad_norm": 1.4375, + "learning_rate": 0.00019108142934201854, + "loss": 4.7039, + "mean_token_accuracy": 0.20856965482234954, + "num_tokens": 14451704.0, + "step": 6540 + }, + { + "entropy": 5.284628009796142, + "epoch": 6.598083711548159, + "grad_norm": 1.5546875, + "learning_rate": 0.00019071351648141977, + "loss": 4.6602, + "mean_token_accuracy": 0.21091823130846024, + "num_tokens": 14461921.0, + "step": 6545 + }, + { + "entropy": 5.34711799621582, + "epoch": 6.603126575895108, + "grad_norm": 1.375, + "learning_rate": 0.00019034586558515625, + "loss": 4.6493, + "mean_token_accuracy": 0.21133901923894882, + "num_tokens": 14472912.0, + "step": 6550 + }, + { + "entropy": 5.374591112136841, + "epoch": 6.608169440242057, + "grad_norm": 1.28125, + "learning_rate": 0.00018997847779589518, + "loss": 4.6743, + "mean_token_accuracy": 0.2123213902115822, + "num_tokens": 14484363.0, + "step": 6555 + }, + { + "entropy": 5.3053964138031, + "epoch": 6.613212304589006, + "grad_norm": 1.3359375, + "learning_rate": 0.00018961135425548642, + "loss": 4.5649, + "mean_token_accuracy": 0.22226291745901108, + "num_tokens": 14494793.0, + "step": 6560 + }, + { + "entropy": 5.34075403213501, + "epoch": 6.6182551689359554, + "grad_norm": 1.296875, + "learning_rate": 0.00018924449610495836, + "loss": 4.6868, + "mean_token_accuracy": 0.22028399556875228, + "num_tokens": 14506824.0, + "step": 6565 + }, + { + "entropy": 5.331904077529908, + "epoch": 6.623298033282905, + "grad_norm": 1.40625, + "learning_rate": 0.00018887790448451458, + "loss": 4.6502, + "mean_token_accuracy": 0.22305871844291686, + "num_tokens": 14518178.0, + "step": 6570 + }, + { + "entropy": 5.2953855991363525, + "epoch": 6.628340897629854, + "grad_norm": 1.2265625, + "learning_rate": 0.0001885115805335304, + "loss": 4.5705, + "mean_token_accuracy": 0.22343843579292297, + "num_tokens": 14529497.0, + "step": 6575 + }, + { + "entropy": 5.366054821014404, + "epoch": 6.633383761976803, + "grad_norm": 1.3515625, + "learning_rate": 0.00018814552539054896, + "loss": 4.7029, + "mean_token_accuracy": 0.21585332602262497, + "num_tokens": 14540992.0, + "step": 6580 + }, + { + "entropy": 5.3471770763397215, + "epoch": 6.638426626323752, + "grad_norm": 1.2265625, + "learning_rate": 0.00018777974019327826, + "loss": 4.6521, + "mean_token_accuracy": 0.21429850459098815, + "num_tokens": 14552078.0, + "step": 6585 + }, + { + "entropy": 5.375272750854492, + "epoch": 6.643469490670701, + "grad_norm": 1.3203125, + "learning_rate": 0.00018741422607858693, + "loss": 4.7274, + "mean_token_accuracy": 0.20748427808284758, + "num_tokens": 14563949.0, + "step": 6590 + }, + { + "entropy": 5.312350845336914, + "epoch": 6.64851235501765, + "grad_norm": 1.6484375, + "learning_rate": 0.00018704898418250143, + "loss": 4.648, + "mean_token_accuracy": 0.22181300967931747, + "num_tokens": 14574981.0, + "step": 6595 + }, + { + "entropy": 5.275086116790772, + "epoch": 6.653555219364599, + "grad_norm": 1.296875, + "learning_rate": 0.00018668401564020192, + "loss": 4.6285, + "mean_token_accuracy": 0.21577722877264022, + "num_tokens": 14585318.0, + "step": 6600 + }, + { + "entropy": 5.312783718109131, + "epoch": 6.658598083711548, + "grad_norm": 1.2734375, + "learning_rate": 0.00018631932158601905, + "loss": 4.6547, + "mean_token_accuracy": 0.21883989572525026, + "num_tokens": 14597265.0, + "step": 6605 + }, + { + "entropy": 5.365548801422119, + "epoch": 6.6636409480584975, + "grad_norm": 1.390625, + "learning_rate": 0.00018595490315343038, + "loss": 4.7025, + "mean_token_accuracy": 0.2111709460616112, + "num_tokens": 14606943.0, + "step": 6610 + }, + { + "entropy": 5.311564970016479, + "epoch": 6.668683812405447, + "grad_norm": 1.359375, + "learning_rate": 0.00018559076147505688, + "loss": 4.6501, + "mean_token_accuracy": 0.21835977733135223, + "num_tokens": 14617756.0, + "step": 6615 + }, + { + "entropy": 5.312956142425537, + "epoch": 6.673726676752396, + "grad_norm": 1.3515625, + "learning_rate": 0.00018522689768265911, + "loss": 4.6371, + "mean_token_accuracy": 0.21607528179883956, + "num_tokens": 14628418.0, + "step": 6620 + }, + { + "entropy": 5.357146310806274, + "epoch": 6.678769541099344, + "grad_norm": 1.28125, + "learning_rate": 0.00018486331290713427, + "loss": 4.6334, + "mean_token_accuracy": 0.2163918673992157, + "num_tokens": 14640489.0, + "step": 6625 + }, + { + "entropy": 5.316901111602784, + "epoch": 6.683812405446293, + "grad_norm": 1.3046875, + "learning_rate": 0.00018450000827851217, + "loss": 4.6337, + "mean_token_accuracy": 0.21358822882175446, + "num_tokens": 14650933.0, + "step": 6630 + }, + { + "entropy": 5.3136420249938965, + "epoch": 6.688855269793242, + "grad_norm": 1.3515625, + "learning_rate": 0.000184136984925952, + "loss": 4.5944, + "mean_token_accuracy": 0.21613629311323165, + "num_tokens": 14661288.0, + "step": 6635 + }, + { + "entropy": 5.3822578430175785, + "epoch": 6.693898134140191, + "grad_norm": 1.296875, + "learning_rate": 0.0001837742439777386, + "loss": 4.7177, + "mean_token_accuracy": 0.20961424112319946, + "num_tokens": 14673088.0, + "step": 6640 + }, + { + "entropy": 5.314380884170532, + "epoch": 6.69894099848714, + "grad_norm": 1.421875, + "learning_rate": 0.00018341178656127948, + "loss": 4.6481, + "mean_token_accuracy": 0.21658485382795334, + "num_tokens": 14683761.0, + "step": 6645 + }, + { + "entropy": 5.401474285125732, + "epoch": 6.7039838628340895, + "grad_norm": 1.2890625, + "learning_rate": 0.00018304961380310038, + "loss": 4.6846, + "mean_token_accuracy": 0.21234268546104432, + "num_tokens": 14696567.0, + "step": 6650 + }, + { + "entropy": 5.388226461410523, + "epoch": 6.709026727181039, + "grad_norm": 1.3671875, + "learning_rate": 0.00018268772682884273, + "loss": 4.7323, + "mean_token_accuracy": 0.211135932803154, + "num_tokens": 14708358.0, + "step": 6655 + }, + { + "entropy": 5.300543594360351, + "epoch": 6.714069591527988, + "grad_norm": 1.6328125, + "learning_rate": 0.00018232612676325944, + "loss": 4.6364, + "mean_token_accuracy": 0.2189777597784996, + "num_tokens": 14717987.0, + "step": 6660 + }, + { + "entropy": 5.3876307010650635, + "epoch": 6.719112455874937, + "grad_norm": 1.453125, + "learning_rate": 0.0001819648147302121, + "loss": 4.5936, + "mean_token_accuracy": 0.22396490573883057, + "num_tokens": 14728536.0, + "step": 6665 + }, + { + "entropy": 5.348317575454712, + "epoch": 6.724155320221886, + "grad_norm": 1.2265625, + "learning_rate": 0.00018160379185266662, + "loss": 4.6208, + "mean_token_accuracy": 0.21860901415348052, + "num_tokens": 14740570.0, + "step": 6670 + }, + { + "entropy": 5.383673810958863, + "epoch": 6.729198184568835, + "grad_norm": 1.328125, + "learning_rate": 0.00018124305925269058, + "loss": 4.7548, + "mean_token_accuracy": 0.20642643868923188, + "num_tokens": 14752174.0, + "step": 6675 + }, + { + "entropy": 5.331220912933349, + "epoch": 6.734241048915784, + "grad_norm": 1.3515625, + "learning_rate": 0.00018088261805144918, + "loss": 4.6178, + "mean_token_accuracy": 0.22881786674261093, + "num_tokens": 14762891.0, + "step": 6680 + }, + { + "entropy": 5.331395864486694, + "epoch": 6.739283913262733, + "grad_norm": 1.390625, + "learning_rate": 0.00018052246936920192, + "loss": 4.6388, + "mean_token_accuracy": 0.22367337346076965, + "num_tokens": 14773397.0, + "step": 6685 + }, + { + "entropy": 5.355164384841919, + "epoch": 6.7443267776096825, + "grad_norm": 1.328125, + "learning_rate": 0.00018016261432529928, + "loss": 4.5991, + "mean_token_accuracy": 0.22476366609334947, + "num_tokens": 14785865.0, + "step": 6690 + }, + { + "entropy": 5.361586427688598, + "epoch": 6.749369641956632, + "grad_norm": 1.46875, + "learning_rate": 0.00017980305403817893, + "loss": 4.6679, + "mean_token_accuracy": 0.21399696469306945, + "num_tokens": 14796732.0, + "step": 6695 + }, + { + "entropy": 5.345164823532104, + "epoch": 6.754412506303581, + "grad_norm": 1.53125, + "learning_rate": 0.00017944378962536279, + "loss": 4.6832, + "mean_token_accuracy": 0.21574979424476623, + "num_tokens": 14807356.0, + "step": 6700 + }, + { + "entropy": 5.30222806930542, + "epoch": 6.75945537065053, + "grad_norm": 1.40625, + "learning_rate": 0.00017908482220345268, + "loss": 4.5828, + "mean_token_accuracy": 0.22636306285858154, + "num_tokens": 14819201.0, + "step": 6705 + }, + { + "entropy": 5.290832901000977, + "epoch": 6.764498234997479, + "grad_norm": 1.34375, + "learning_rate": 0.00017872615288812787, + "loss": 4.6808, + "mean_token_accuracy": 0.2133016660809517, + "num_tokens": 14829996.0, + "step": 6710 + }, + { + "entropy": 5.3180242538452145, + "epoch": 6.769541099344428, + "grad_norm": 1.3125, + "learning_rate": 0.00017836778279414057, + "loss": 4.6594, + "mean_token_accuracy": 0.21321381479501725, + "num_tokens": 14840994.0, + "step": 6715 + }, + { + "entropy": 5.304784536361694, + "epoch": 6.774583963691377, + "grad_norm": 1.34375, + "learning_rate": 0.00017800971303531354, + "loss": 4.6422, + "mean_token_accuracy": 0.21603736281394958, + "num_tokens": 14851643.0, + "step": 6720 + }, + { + "entropy": 5.348932075500488, + "epoch": 6.779626828038325, + "grad_norm": 1.4375, + "learning_rate": 0.0001776519447245356, + "loss": 4.6607, + "mean_token_accuracy": 0.21616029739379883, + "num_tokens": 14862017.0, + "step": 6725 + }, + { + "entropy": 5.279548406600952, + "epoch": 6.7846696923852745, + "grad_norm": 1.4140625, + "learning_rate": 0.00017729447897375927, + "loss": 4.6092, + "mean_token_accuracy": 0.21939080953598022, + "num_tokens": 14872754.0, + "step": 6730 + }, + { + "entropy": 5.295262670516967, + "epoch": 6.789712556732224, + "grad_norm": 1.34375, + "learning_rate": 0.00017693731689399605, + "loss": 4.6379, + "mean_token_accuracy": 0.21290521919727326, + "num_tokens": 14883841.0, + "step": 6735 + }, + { + "entropy": 5.287308168411255, + "epoch": 6.794755421079173, + "grad_norm": 1.484375, + "learning_rate": 0.00017658045959531416, + "loss": 4.6197, + "mean_token_accuracy": 0.21733115315437318, + "num_tokens": 14894317.0, + "step": 6740 + }, + { + "entropy": 5.381797361373901, + "epoch": 6.799798285426122, + "grad_norm": 1.265625, + "learning_rate": 0.00017622390818683404, + "loss": 4.6537, + "mean_token_accuracy": 0.2198000058531761, + "num_tokens": 14905636.0, + "step": 6745 + }, + { + "entropy": 5.338959789276123, + "epoch": 6.804841149773071, + "grad_norm": 1.53125, + "learning_rate": 0.00017586766377672593, + "loss": 4.6023, + "mean_token_accuracy": 0.2251695841550827, + "num_tokens": 14916335.0, + "step": 6750 + }, + { + "entropy": 5.322839021682739, + "epoch": 6.80988401412002, + "grad_norm": 1.5, + "learning_rate": 0.00017551172747220552, + "loss": 4.6548, + "mean_token_accuracy": 0.21657199263572693, + "num_tokens": 14926697.0, + "step": 6755 + }, + { + "entropy": 5.309933185577393, + "epoch": 6.814926878466969, + "grad_norm": 1.4375, + "learning_rate": 0.00017515610037953112, + "loss": 4.6997, + "mean_token_accuracy": 0.20491381734609604, + "num_tokens": 14938821.0, + "step": 6760 + }, + { + "entropy": 5.345283365249633, + "epoch": 6.819969742813918, + "grad_norm": 1.3203125, + "learning_rate": 0.0001748007836039999, + "loss": 4.6749, + "mean_token_accuracy": 0.21463018506765366, + "num_tokens": 14950671.0, + "step": 6765 + }, + { + "entropy": 5.400843763351441, + "epoch": 6.825012607160867, + "grad_norm": 1.359375, + "learning_rate": 0.00017444577824994475, + "loss": 4.6414, + "mean_token_accuracy": 0.21676749587059022, + "num_tokens": 14961579.0, + "step": 6770 + }, + { + "entropy": 5.295256042480469, + "epoch": 6.8300554715078166, + "grad_norm": 1.515625, + "learning_rate": 0.0001740910854207303, + "loss": 4.6115, + "mean_token_accuracy": 0.2133998990058899, + "num_tokens": 14971747.0, + "step": 6775 + }, + { + "entropy": 5.283566284179687, + "epoch": 6.835098335854766, + "grad_norm": 1.34375, + "learning_rate": 0.00017373670621875016, + "loss": 4.6622, + "mean_token_accuracy": 0.2162500098347664, + "num_tokens": 14982575.0, + "step": 6780 + }, + { + "entropy": 5.351551914215088, + "epoch": 6.840141200201715, + "grad_norm": 1.2890625, + "learning_rate": 0.000173382641745423, + "loss": 4.6925, + "mean_token_accuracy": 0.21079863756895065, + "num_tokens": 14995301.0, + "step": 6785 + }, + { + "entropy": 5.3515832901000975, + "epoch": 6.845184064548664, + "grad_norm": 1.2734375, + "learning_rate": 0.0001730288931011893, + "loss": 4.662, + "mean_token_accuracy": 0.21524953246116638, + "num_tokens": 15007033.0, + "step": 6790 + }, + { + "entropy": 5.327978610992432, + "epoch": 6.850226928895613, + "grad_norm": 1.4765625, + "learning_rate": 0.00017267546138550823, + "loss": 4.6446, + "mean_token_accuracy": 0.22024314105510712, + "num_tokens": 15018431.0, + "step": 6795 + }, + { + "entropy": 5.368574905395508, + "epoch": 6.855269793242562, + "grad_norm": 1.2109375, + "learning_rate": 0.00017232234769685358, + "loss": 4.6645, + "mean_token_accuracy": 0.21696822643280028, + "num_tokens": 15030066.0, + "step": 6800 + }, + { + "entropy": 5.328826427459717, + "epoch": 6.86031265758951, + "grad_norm": 1.609375, + "learning_rate": 0.00017196955313271086, + "loss": 4.6339, + "mean_token_accuracy": 0.2093048632144928, + "num_tokens": 15039888.0, + "step": 6805 + }, + { + "entropy": 5.269174385070801, + "epoch": 6.8653555219364595, + "grad_norm": 1.2578125, + "learning_rate": 0.00017161707878957368, + "loss": 4.6103, + "mean_token_accuracy": 0.22062758058309556, + "num_tokens": 15051550.0, + "step": 6810 + }, + { + "entropy": 5.370995664596558, + "epoch": 6.870398386283409, + "grad_norm": 1.1640625, + "learning_rate": 0.00017126492576294053, + "loss": 4.6331, + "mean_token_accuracy": 0.21404555141925813, + "num_tokens": 15063026.0, + "step": 6815 + }, + { + "entropy": 5.36248083114624, + "epoch": 6.875441250630358, + "grad_norm": 1.2734375, + "learning_rate": 0.0001709130951473109, + "loss": 4.6577, + "mean_token_accuracy": 0.21238561123609542, + "num_tokens": 15073797.0, + "step": 6820 + }, + { + "entropy": 5.317653179168701, + "epoch": 6.880484114977307, + "grad_norm": 1.3125, + "learning_rate": 0.00017056158803618277, + "loss": 4.6379, + "mean_token_accuracy": 0.22134413421154023, + "num_tokens": 15085481.0, + "step": 6825 + }, + { + "entropy": 5.251279306411743, + "epoch": 6.885526979324256, + "grad_norm": 1.3359375, + "learning_rate": 0.00017021040552204814, + "loss": 4.6052, + "mean_token_accuracy": 0.21521301120519637, + "num_tokens": 15096366.0, + "step": 6830 + }, + { + "entropy": 5.305837774276734, + "epoch": 6.890569843671205, + "grad_norm": 1.34375, + "learning_rate": 0.00016985954869639048, + "loss": 4.7055, + "mean_token_accuracy": 0.20472221821546555, + "num_tokens": 15107804.0, + "step": 6835 + }, + { + "entropy": 5.300729036331177, + "epoch": 6.895612708018154, + "grad_norm": 1.3359375, + "learning_rate": 0.00016950901864968076, + "loss": 4.6014, + "mean_token_accuracy": 0.22149758338928222, + "num_tokens": 15118737.0, + "step": 6840 + }, + { + "entropy": 5.338110113143921, + "epoch": 6.900655572365103, + "grad_norm": 1.40625, + "learning_rate": 0.00016915881647137465, + "loss": 4.7255, + "mean_token_accuracy": 0.21334645450115203, + "num_tokens": 15129645.0, + "step": 6845 + }, + { + "entropy": 5.3771895408630375, + "epoch": 6.905698436712052, + "grad_norm": 1.421875, + "learning_rate": 0.0001688089432499084, + "loss": 4.7056, + "mean_token_accuracy": 0.21627845615148544, + "num_tokens": 15141100.0, + "step": 6850 + }, + { + "entropy": 5.298923635482788, + "epoch": 6.9107413010590015, + "grad_norm": 1.40625, + "learning_rate": 0.00016845940007269617, + "loss": 4.5858, + "mean_token_accuracy": 0.2191134586930275, + "num_tokens": 15151637.0, + "step": 6855 + }, + { + "entropy": 5.3075010776519775, + "epoch": 6.915784165405951, + "grad_norm": 1.328125, + "learning_rate": 0.00016811018802612615, + "loss": 4.6485, + "mean_token_accuracy": 0.2203893929719925, + "num_tokens": 15162126.0, + "step": 6860 + }, + { + "entropy": 5.326016569137574, + "epoch": 6.9208270297529, + "grad_norm": 1.3125, + "learning_rate": 0.00016776130819555758, + "loss": 4.6232, + "mean_token_accuracy": 0.21959089487791061, + "num_tokens": 15172942.0, + "step": 6865 + }, + { + "entropy": 5.340472412109375, + "epoch": 6.925869894099849, + "grad_norm": 1.3984375, + "learning_rate": 0.00016741276166531684, + "loss": 4.6429, + "mean_token_accuracy": 0.2193739205598831, + "num_tokens": 15183534.0, + "step": 6870 + }, + { + "entropy": 5.341355037689209, + "epoch": 6.930912758446798, + "grad_norm": 1.3203125, + "learning_rate": 0.00016706454951869468, + "loss": 4.6648, + "mean_token_accuracy": 0.21327273845672606, + "num_tokens": 15193995.0, + "step": 6875 + }, + { + "entropy": 5.3681694030761715, + "epoch": 6.935955622793747, + "grad_norm": 1.2890625, + "learning_rate": 0.00016671667283794245, + "loss": 4.6921, + "mean_token_accuracy": 0.2116631254553795, + "num_tokens": 15204598.0, + "step": 6880 + }, + { + "entropy": 5.338287830352783, + "epoch": 6.940998487140696, + "grad_norm": 1.328125, + "learning_rate": 0.00016636913270426888, + "loss": 4.6352, + "mean_token_accuracy": 0.2109651193022728, + "num_tokens": 15216933.0, + "step": 6885 + }, + { + "entropy": 5.397768640518189, + "epoch": 6.946041351487645, + "grad_norm": 1.2890625, + "learning_rate": 0.00016602193019783673, + "loss": 4.7155, + "mean_token_accuracy": 0.21376636028289794, + "num_tokens": 15228227.0, + "step": 6890 + }, + { + "entropy": 5.360055685043335, + "epoch": 6.9510842158345945, + "grad_norm": 1.3984375, + "learning_rate": 0.00016567506639775947, + "loss": 4.695, + "mean_token_accuracy": 0.216583451628685, + "num_tokens": 15237701.0, + "step": 6895 + }, + { + "entropy": 5.345563650131226, + "epoch": 6.956127080181544, + "grad_norm": 1.3984375, + "learning_rate": 0.00016532854238209783, + "loss": 4.6815, + "mean_token_accuracy": 0.21556762009859085, + "num_tokens": 15248114.0, + "step": 6900 + }, + { + "entropy": 5.3354325771331785, + "epoch": 6.961169944528492, + "grad_norm": 1.25, + "learning_rate": 0.0001649823592278563, + "loss": 4.6663, + "mean_token_accuracy": 0.21585539281368255, + "num_tokens": 15259246.0, + "step": 6905 + }, + { + "entropy": 5.355136299133301, + "epoch": 6.966212808875441, + "grad_norm": 1.453125, + "learning_rate": 0.00016463651801098023, + "loss": 4.6543, + "mean_token_accuracy": 0.2154486283659935, + "num_tokens": 15270229.0, + "step": 6910 + }, + { + "entropy": 5.363860416412353, + "epoch": 6.97125567322239, + "grad_norm": 1.578125, + "learning_rate": 0.00016429101980635193, + "loss": 4.7132, + "mean_token_accuracy": 0.21458267122507096, + "num_tokens": 15280708.0, + "step": 6915 + }, + { + "entropy": 5.350880479812622, + "epoch": 6.976298537569339, + "grad_norm": 1.5703125, + "learning_rate": 0.00016394586568778795, + "loss": 4.6604, + "mean_token_accuracy": 0.21188926249742507, + "num_tokens": 15291010.0, + "step": 6920 + }, + { + "entropy": 5.327713346481323, + "epoch": 6.981341401916288, + "grad_norm": 1.4296875, + "learning_rate": 0.00016360105672803515, + "loss": 4.5811, + "mean_token_accuracy": 0.22991840690374374, + "num_tokens": 15301133.0, + "step": 6925 + }, + { + "entropy": 5.287805032730103, + "epoch": 6.986384266263237, + "grad_norm": 1.34375, + "learning_rate": 0.00016325659399876792, + "loss": 4.6535, + "mean_token_accuracy": 0.2193632423877716, + "num_tokens": 15311223.0, + "step": 6930 + }, + { + "entropy": 5.307404851913452, + "epoch": 6.9914271306101865, + "grad_norm": 1.3984375, + "learning_rate": 0.00016291247857058412, + "loss": 4.6804, + "mean_token_accuracy": 0.21644218415021896, + "num_tokens": 15321912.0, + "step": 6935 + }, + { + "entropy": 5.278178405761719, + "epoch": 6.996469994957136, + "grad_norm": 1.421875, + "learning_rate": 0.00016256871151300268, + "loss": 4.5682, + "mean_token_accuracy": 0.2209543615579605, + "num_tokens": 15333600.0, + "step": 6940 + }, + { + "entropy": 5.316867828369141, + "epoch": 7.00100857286939, + "grad_norm": 1.3359375, + "learning_rate": 0.00016222529389445928, + "loss": 4.6461, + "mean_token_accuracy": 0.21365364227030012, + "num_tokens": 15343920.0, + "step": 6945 + }, + { + "entropy": 5.351253032684326, + "epoch": 7.006051437216339, + "grad_norm": 1.3046875, + "learning_rate": 0.00016188222678230395, + "loss": 4.5276, + "mean_token_accuracy": 0.22726660519838332, + "num_tokens": 15355324.0, + "step": 6950 + }, + { + "entropy": 5.355388975143432, + "epoch": 7.011094301563288, + "grad_norm": 1.203125, + "learning_rate": 0.0001615395112427972, + "loss": 4.5708, + "mean_token_accuracy": 0.23247056305408478, + "num_tokens": 15366170.0, + "step": 6955 + }, + { + "entropy": 5.303373527526856, + "epoch": 7.016137165910237, + "grad_norm": 1.5078125, + "learning_rate": 0.0001611971483411069, + "loss": 4.4604, + "mean_token_accuracy": 0.24327995181083678, + "num_tokens": 15377384.0, + "step": 6960 + }, + { + "entropy": 5.312825536727905, + "epoch": 7.021180030257186, + "grad_norm": 1.4765625, + "learning_rate": 0.00016085513914130463, + "loss": 4.5574, + "mean_token_accuracy": 0.22749511003494263, + "num_tokens": 15388992.0, + "step": 6965 + }, + { + "entropy": 5.253768873214722, + "epoch": 7.026222894604135, + "grad_norm": 1.4921875, + "learning_rate": 0.00016051348470636306, + "loss": 4.4789, + "mean_token_accuracy": 0.2333448961377144, + "num_tokens": 15399757.0, + "step": 6970 + }, + { + "entropy": 5.297413730621338, + "epoch": 7.0312657589510845, + "grad_norm": 1.3359375, + "learning_rate": 0.00016017218609815195, + "loss": 4.5127, + "mean_token_accuracy": 0.23326511830091476, + "num_tokens": 15410379.0, + "step": 6975 + }, + { + "entropy": 5.246276712417602, + "epoch": 7.036308623298034, + "grad_norm": 1.1484375, + "learning_rate": 0.0001598312443774353, + "loss": 4.4284, + "mean_token_accuracy": 0.23199106454849244, + "num_tokens": 15422098.0, + "step": 6980 + }, + { + "entropy": 5.332926225662232, + "epoch": 7.041351487644983, + "grad_norm": 1.3828125, + "learning_rate": 0.00015949066060386784, + "loss": 4.5364, + "mean_token_accuracy": 0.2324401006102562, + "num_tokens": 15433161.0, + "step": 6985 + }, + { + "entropy": 5.303371477127075, + "epoch": 7.046394351991931, + "grad_norm": 1.3515625, + "learning_rate": 0.00015915043583599183, + "loss": 4.4988, + "mean_token_accuracy": 0.23691647499799728, + "num_tokens": 15443243.0, + "step": 6990 + }, + { + "entropy": 5.325288534164429, + "epoch": 7.05143721633888, + "grad_norm": 1.3828125, + "learning_rate": 0.0001588105711312336, + "loss": 4.6331, + "mean_token_accuracy": 0.21829306483268737, + "num_tokens": 15454997.0, + "step": 6995 + }, + { + "entropy": 5.292270135879517, + "epoch": 7.056480080685829, + "grad_norm": 1.4375, + "learning_rate": 0.00015847106754590055, + "loss": 4.5377, + "mean_token_accuracy": 0.23259725272655488, + "num_tokens": 15466596.0, + "step": 7000 + }, + { + "epoch": 7.056480080685829, + "eval_entropy": 5.190140663515824, + "eval_loss": 5.664591312408447, + "eval_mean_token_accuracy": 0.15645785036357002, + "eval_num_tokens": 15466596.0, + "eval_runtime": 2.0299, + "eval_samples_per_second": 1545.873, + "eval_steps_per_second": 193.604, + "step": 7000 + }, + { + "entropy": 5.342967939376831, + "epoch": 7.061522945032778, + "grad_norm": 1.4453125, + "learning_rate": 0.0001581319261351777, + "loss": 4.561, + "mean_token_accuracy": 0.22747746855020523, + "num_tokens": 15477924.0, + "step": 7005 + }, + { + "entropy": 5.277507972717285, + "epoch": 7.0665658093797274, + "grad_norm": 1.46875, + "learning_rate": 0.00015779314795312426, + "loss": 4.5062, + "mean_token_accuracy": 0.22869454622268676, + "num_tokens": 15489253.0, + "step": 7010 + }, + { + "entropy": 5.325477600097656, + "epoch": 7.071608673726677, + "grad_norm": 1.5234375, + "learning_rate": 0.0001574547340526707, + "loss": 4.5886, + "mean_token_accuracy": 0.22567261308431624, + "num_tokens": 15500809.0, + "step": 7015 + }, + { + "entropy": 5.329904270172119, + "epoch": 7.076651538073626, + "grad_norm": 1.421875, + "learning_rate": 0.00015711668548561527, + "loss": 4.5441, + "mean_token_accuracy": 0.22513023912906646, + "num_tokens": 15512707.0, + "step": 7020 + }, + { + "entropy": 5.257874011993408, + "epoch": 7.081694402420575, + "grad_norm": 1.4453125, + "learning_rate": 0.00015677900330262075, + "loss": 4.5061, + "mean_token_accuracy": 0.23131189197301866, + "num_tokens": 15523887.0, + "step": 7025 + }, + { + "entropy": 5.302902889251709, + "epoch": 7.086737266767524, + "grad_norm": 1.390625, + "learning_rate": 0.00015644168855321098, + "loss": 4.5117, + "mean_token_accuracy": 0.23442438691854478, + "num_tokens": 15534773.0, + "step": 7030 + }, + { + "entropy": 5.334398889541626, + "epoch": 7.091780131114473, + "grad_norm": 1.34375, + "learning_rate": 0.00015610474228576818, + "loss": 4.5741, + "mean_token_accuracy": 0.22616139501333238, + "num_tokens": 15546701.0, + "step": 7035 + }, + { + "entropy": 5.364245986938476, + "epoch": 7.096822995461422, + "grad_norm": 1.28125, + "learning_rate": 0.00015576816554752892, + "loss": 4.5713, + "mean_token_accuracy": 0.22624965906143188, + "num_tokens": 15557830.0, + "step": 7040 + }, + { + "entropy": 5.3050925731658936, + "epoch": 7.101865859808371, + "grad_norm": 1.5078125, + "learning_rate": 0.0001554319593845816, + "loss": 4.4696, + "mean_token_accuracy": 0.2433767944574356, + "num_tokens": 15568790.0, + "step": 7045 + }, + { + "entropy": 5.388065910339355, + "epoch": 7.10690872415532, + "grad_norm": 1.3671875, + "learning_rate": 0.0001550961248418627, + "loss": 4.5351, + "mean_token_accuracy": 0.22904874980449677, + "num_tokens": 15580152.0, + "step": 7050 + }, + { + "entropy": 5.330150413513183, + "epoch": 7.1119515885022695, + "grad_norm": 1.4296875, + "learning_rate": 0.00015476066296315376, + "loss": 4.5454, + "mean_token_accuracy": 0.22565665543079377, + "num_tokens": 15591233.0, + "step": 7055 + }, + { + "entropy": 5.365304231643677, + "epoch": 7.116994452849219, + "grad_norm": 1.5078125, + "learning_rate": 0.000154425574791078, + "loss": 4.6134, + "mean_token_accuracy": 0.2224419578909874, + "num_tokens": 15603093.0, + "step": 7060 + }, + { + "entropy": 5.2755434036254885, + "epoch": 7.122037317196168, + "grad_norm": 1.546875, + "learning_rate": 0.00015409086136709723, + "loss": 4.473, + "mean_token_accuracy": 0.23818657994270326, + "num_tokens": 15613187.0, + "step": 7065 + }, + { + "entropy": 5.3314450740814205, + "epoch": 7.127080181543117, + "grad_norm": 1.1875, + "learning_rate": 0.0001537565237315084, + "loss": 4.5909, + "mean_token_accuracy": 0.22641514837741852, + "num_tokens": 15625860.0, + "step": 7070 + }, + { + "entropy": 5.379950332641601, + "epoch": 7.132123045890066, + "grad_norm": 1.34375, + "learning_rate": 0.00015342256292344065, + "loss": 4.6315, + "mean_token_accuracy": 0.22722586542367934, + "num_tokens": 15636888.0, + "step": 7075 + }, + { + "entropy": 5.362259817123413, + "epoch": 7.137165910237014, + "grad_norm": 1.3984375, + "learning_rate": 0.00015308897998085187, + "loss": 4.6299, + "mean_token_accuracy": 0.21784261912107467, + "num_tokens": 15648122.0, + "step": 7080 + }, + { + "entropy": 5.341370296478272, + "epoch": 7.142208774583963, + "grad_norm": 1.2734375, + "learning_rate": 0.00015275577594052564, + "loss": 4.5495, + "mean_token_accuracy": 0.22538087218999864, + "num_tokens": 15658347.0, + "step": 7085 + }, + { + "entropy": 5.277120542526245, + "epoch": 7.147251638930912, + "grad_norm": 1.3515625, + "learning_rate": 0.0001524229518380676, + "loss": 4.5149, + "mean_token_accuracy": 0.2264695256948471, + "num_tokens": 15670357.0, + "step": 7090 + }, + { + "entropy": 5.357531547546387, + "epoch": 7.1522945032778615, + "grad_norm": 1.4609375, + "learning_rate": 0.0001520905087079029, + "loss": 4.4907, + "mean_token_accuracy": 0.23583969920873643, + "num_tokens": 15681734.0, + "step": 7095 + }, + { + "entropy": 5.27922739982605, + "epoch": 7.157337367624811, + "grad_norm": 1.4296875, + "learning_rate": 0.00015175844758327239, + "loss": 4.5768, + "mean_token_accuracy": 0.22651268988847734, + "num_tokens": 15693772.0, + "step": 7100 + }, + { + "entropy": 5.349179124832153, + "epoch": 7.16238023197176, + "grad_norm": 1.2734375, + "learning_rate": 0.00015142676949622973, + "loss": 4.6037, + "mean_token_accuracy": 0.22167278826236725, + "num_tokens": 15705390.0, + "step": 7105 + }, + { + "entropy": 5.2857749462127686, + "epoch": 7.167423096318709, + "grad_norm": 1.3125, + "learning_rate": 0.00015109547547763802, + "loss": 4.5362, + "mean_token_accuracy": 0.2254762217402458, + "num_tokens": 15716453.0, + "step": 7110 + }, + { + "entropy": 5.279051494598389, + "epoch": 7.172465960665658, + "grad_norm": 1.421875, + "learning_rate": 0.00015076456655716675, + "loss": 4.5616, + "mean_token_accuracy": 0.23126013129949569, + "num_tokens": 15727218.0, + "step": 7115 + }, + { + "entropy": 5.36016845703125, + "epoch": 7.177508825012607, + "grad_norm": 1.3046875, + "learning_rate": 0.00015043404376328856, + "loss": 4.5603, + "mean_token_accuracy": 0.2260824516415596, + "num_tokens": 15738209.0, + "step": 7120 + }, + { + "entropy": 5.287611770629883, + "epoch": 7.182551689359556, + "grad_norm": 1.2421875, + "learning_rate": 0.00015010390812327578, + "loss": 4.5078, + "mean_token_accuracy": 0.23224884122610093, + "num_tokens": 15750297.0, + "step": 7125 + }, + { + "entropy": 5.279722595214844, + "epoch": 7.187594553706505, + "grad_norm": 1.390625, + "learning_rate": 0.0001497741606631977, + "loss": 4.5777, + "mean_token_accuracy": 0.22035890072584152, + "num_tokens": 15760479.0, + "step": 7130 + }, + { + "entropy": 5.286903429031372, + "epoch": 7.1926374180534545, + "grad_norm": 1.3984375, + "learning_rate": 0.0001494448024079169, + "loss": 4.5897, + "mean_token_accuracy": 0.22308809012174607, + "num_tokens": 15772804.0, + "step": 7135 + }, + { + "entropy": 5.246288061141968, + "epoch": 7.197680282400404, + "grad_norm": 1.4453125, + "learning_rate": 0.00014911583438108656, + "loss": 4.4311, + "mean_token_accuracy": 0.23591995984315872, + "num_tokens": 15783256.0, + "step": 7140 + }, + { + "entropy": 5.315304136276245, + "epoch": 7.202723146747353, + "grad_norm": 1.4609375, + "learning_rate": 0.00014878725760514682, + "loss": 4.5964, + "mean_token_accuracy": 0.22201442420482637, + "num_tokens": 15794873.0, + "step": 7145 + }, + { + "entropy": 5.353905725479126, + "epoch": 7.207766011094302, + "grad_norm": 1.5078125, + "learning_rate": 0.00014845907310132202, + "loss": 4.5949, + "mean_token_accuracy": 0.22602345198392867, + "num_tokens": 15804788.0, + "step": 7150 + }, + { + "entropy": 5.315305709838867, + "epoch": 7.212808875441251, + "grad_norm": 1.3203125, + "learning_rate": 0.00014813128188961695, + "loss": 4.5692, + "mean_token_accuracy": 0.22759516537189484, + "num_tokens": 15817087.0, + "step": 7155 + }, + { + "entropy": 5.347730875015259, + "epoch": 7.2178517397882, + "grad_norm": 1.46875, + "learning_rate": 0.00014780388498881447, + "loss": 4.5319, + "mean_token_accuracy": 0.2360930174589157, + "num_tokens": 15826887.0, + "step": 7160 + }, + { + "entropy": 5.312480878829956, + "epoch": 7.222894604135149, + "grad_norm": 1.3125, + "learning_rate": 0.0001474768834164715, + "loss": 4.5549, + "mean_token_accuracy": 0.22395195215940475, + "num_tokens": 15838290.0, + "step": 7165 + }, + { + "entropy": 5.272480010986328, + "epoch": 7.227937468482098, + "grad_norm": 1.46875, + "learning_rate": 0.00014715027818891656, + "loss": 4.5369, + "mean_token_accuracy": 0.23386336117982864, + "num_tokens": 15849444.0, + "step": 7170 + }, + { + "entropy": 5.312888288497925, + "epoch": 7.2329803328290465, + "grad_norm": 1.3046875, + "learning_rate": 0.0001468240703212463, + "loss": 4.5893, + "mean_token_accuracy": 0.223324516415596, + "num_tokens": 15859215.0, + "step": 7175 + }, + { + "entropy": 5.252601432800293, + "epoch": 7.238023197175996, + "grad_norm": 1.359375, + "learning_rate": 0.00014649826082732226, + "loss": 4.5536, + "mean_token_accuracy": 0.22863994240760804, + "num_tokens": 15870372.0, + "step": 7180 + }, + { + "entropy": 5.309851455688476, + "epoch": 7.243066061522945, + "grad_norm": 1.546875, + "learning_rate": 0.00014617285071976777, + "loss": 4.5128, + "mean_token_accuracy": 0.22644595354795455, + "num_tokens": 15881414.0, + "step": 7185 + }, + { + "entropy": 5.307170295715332, + "epoch": 7.248108925869894, + "grad_norm": 1.453125, + "learning_rate": 0.00014584784100996512, + "loss": 4.5361, + "mean_token_accuracy": 0.22832292467355728, + "num_tokens": 15892800.0, + "step": 7190 + }, + { + "entropy": 5.350831174850464, + "epoch": 7.253151790216843, + "grad_norm": 1.4765625, + "learning_rate": 0.0001455232327080518, + "loss": 4.5612, + "mean_token_accuracy": 0.21920505464076995, + "num_tokens": 15903266.0, + "step": 7195 + }, + { + "entropy": 5.274076128005982, + "epoch": 7.258194654563792, + "grad_norm": 1.3515625, + "learning_rate": 0.00014519902682291795, + "loss": 4.4898, + "mean_token_accuracy": 0.23219892382621765, + "num_tokens": 15914738.0, + "step": 7200 + }, + { + "entropy": 5.287580966949463, + "epoch": 7.263237518910741, + "grad_norm": 1.4453125, + "learning_rate": 0.00014487522436220304, + "loss": 4.5182, + "mean_token_accuracy": 0.22857421189546584, + "num_tokens": 15925170.0, + "step": 7205 + }, + { + "entropy": 5.299157762527466, + "epoch": 7.26828038325769, + "grad_norm": 1.328125, + "learning_rate": 0.00014455182633229258, + "loss": 4.4885, + "mean_token_accuracy": 0.23408662229776384, + "num_tokens": 15936434.0, + "step": 7210 + }, + { + "entropy": 5.311158227920532, + "epoch": 7.273323247604639, + "grad_norm": 1.3671875, + "learning_rate": 0.00014422883373831497, + "loss": 4.539, + "mean_token_accuracy": 0.23000027239322662, + "num_tokens": 15946667.0, + "step": 7215 + }, + { + "entropy": 5.390425395965576, + "epoch": 7.278366111951589, + "grad_norm": 1.359375, + "learning_rate": 0.00014390624758413872, + "loss": 4.6007, + "mean_token_accuracy": 0.2192816913127899, + "num_tokens": 15956601.0, + "step": 7220 + }, + { + "entropy": 5.301521587371826, + "epoch": 7.283408976298538, + "grad_norm": 1.390625, + "learning_rate": 0.00014358406887236914, + "loss": 4.579, + "mean_token_accuracy": 0.2187001883983612, + "num_tokens": 15967542.0, + "step": 7225 + }, + { + "entropy": 5.268623161315918, + "epoch": 7.288451840645487, + "grad_norm": 1.4140625, + "learning_rate": 0.00014326229860434488, + "loss": 4.4961, + "mean_token_accuracy": 0.22896168380975723, + "num_tokens": 15978375.0, + "step": 7230 + }, + { + "entropy": 5.289550113677978, + "epoch": 7.293494704992436, + "grad_norm": 1.5625, + "learning_rate": 0.0001429409377801355, + "loss": 4.531, + "mean_token_accuracy": 0.2279664546251297, + "num_tokens": 15989269.0, + "step": 7235 + }, + { + "entropy": 5.319182300567627, + "epoch": 7.298537569339385, + "grad_norm": 1.5234375, + "learning_rate": 0.00014261998739853785, + "loss": 4.549, + "mean_token_accuracy": 0.2318236082792282, + "num_tokens": 16000622.0, + "step": 7240 + }, + { + "entropy": 5.339053392410278, + "epoch": 7.303580433686334, + "grad_norm": 1.3984375, + "learning_rate": 0.00014229944845707315, + "loss": 4.5473, + "mean_token_accuracy": 0.23991765826940536, + "num_tokens": 16011586.0, + "step": 7245 + }, + { + "entropy": 5.357959747314453, + "epoch": 7.308623298033283, + "grad_norm": 1.3828125, + "learning_rate": 0.00014197932195198374, + "loss": 4.5526, + "mean_token_accuracy": 0.23095664381980896, + "num_tokens": 16023519.0, + "step": 7250 + }, + { + "entropy": 5.268877792358398, + "epoch": 7.313666162380232, + "grad_norm": 1.46875, + "learning_rate": 0.00014165960887823026, + "loss": 4.4598, + "mean_token_accuracy": 0.2319287598133087, + "num_tokens": 16033627.0, + "step": 7255 + }, + { + "entropy": 5.270218992233277, + "epoch": 7.318709026727181, + "grad_norm": 1.5, + "learning_rate": 0.00014134031022948817, + "loss": 4.4941, + "mean_token_accuracy": 0.23133867979049683, + "num_tokens": 16044222.0, + "step": 7260 + }, + { + "entropy": 5.282980012893677, + "epoch": 7.32375189107413, + "grad_norm": 1.3125, + "learning_rate": 0.00014102142699814525, + "loss": 4.5425, + "mean_token_accuracy": 0.22663716226816177, + "num_tokens": 16055336.0, + "step": 7265 + }, + { + "entropy": 5.3312098503112795, + "epoch": 7.328794755421079, + "grad_norm": 1.3671875, + "learning_rate": 0.00014070296017529773, + "loss": 4.5296, + "mean_token_accuracy": 0.2233452707529068, + "num_tokens": 16067046.0, + "step": 7270 + }, + { + "entropy": 5.318199300765992, + "epoch": 7.333837619768028, + "grad_norm": 1.3984375, + "learning_rate": 0.00014038491075074805, + "loss": 4.5451, + "mean_token_accuracy": 0.2297145575284958, + "num_tokens": 16078412.0, + "step": 7275 + }, + { + "entropy": 5.329317903518676, + "epoch": 7.338880484114977, + "grad_norm": 1.6484375, + "learning_rate": 0.00014006727971300098, + "loss": 4.6181, + "mean_token_accuracy": 0.21633000373840333, + "num_tokens": 16089273.0, + "step": 7280 + }, + { + "entropy": 5.32567777633667, + "epoch": 7.343923348461926, + "grad_norm": 1.5390625, + "learning_rate": 0.00013975006804926128, + "loss": 4.5694, + "mean_token_accuracy": 0.22719766348600387, + "num_tokens": 16099002.0, + "step": 7285 + }, + { + "entropy": 5.303778648376465, + "epoch": 7.348966212808875, + "grad_norm": 1.484375, + "learning_rate": 0.00013943327674542988, + "loss": 4.5559, + "mean_token_accuracy": 0.22620025277137756, + "num_tokens": 16108988.0, + "step": 7290 + }, + { + "entropy": 5.269321155548096, + "epoch": 7.354009077155824, + "grad_norm": 1.40625, + "learning_rate": 0.00013911690678610164, + "loss": 4.5147, + "mean_token_accuracy": 0.2249543249607086, + "num_tokens": 16119968.0, + "step": 7295 + }, + { + "entropy": 5.324913406372071, + "epoch": 7.3590519415027735, + "grad_norm": 1.3828125, + "learning_rate": 0.00013880095915456167, + "loss": 4.5005, + "mean_token_accuracy": 0.23076407313346864, + "num_tokens": 16131588.0, + "step": 7300 + }, + { + "entropy": 5.328034496307373, + "epoch": 7.364094805849723, + "grad_norm": 1.453125, + "learning_rate": 0.00013848543483278256, + "loss": 4.536, + "mean_token_accuracy": 0.22857568114995958, + "num_tokens": 16141063.0, + "step": 7305 + }, + { + "entropy": 5.312693452835083, + "epoch": 7.369137670196672, + "grad_norm": 1.6484375, + "learning_rate": 0.000138170334801421, + "loss": 4.5626, + "mean_token_accuracy": 0.22825343757867814, + "num_tokens": 16151773.0, + "step": 7310 + }, + { + "entropy": 5.252763462066651, + "epoch": 7.374180534543621, + "grad_norm": 1.46875, + "learning_rate": 0.00013785566003981538, + "loss": 4.5353, + "mean_token_accuracy": 0.2315294176340103, + "num_tokens": 16162863.0, + "step": 7315 + }, + { + "entropy": 5.309763813018799, + "epoch": 7.37922339889057, + "grad_norm": 1.5078125, + "learning_rate": 0.0001375414115259819, + "loss": 4.558, + "mean_token_accuracy": 0.22765425443649293, + "num_tokens": 16173352.0, + "step": 7320 + }, + { + "entropy": 5.369609785079956, + "epoch": 7.384266263237519, + "grad_norm": 1.421875, + "learning_rate": 0.0001372275902366122, + "loss": 4.6159, + "mean_token_accuracy": 0.2245473712682724, + "num_tokens": 16185129.0, + "step": 7325 + }, + { + "entropy": 5.418182373046875, + "epoch": 7.389309127584468, + "grad_norm": 1.5390625, + "learning_rate": 0.00013691419714707026, + "loss": 4.5983, + "mean_token_accuracy": 0.22159814536571504, + "num_tokens": 16195735.0, + "step": 7330 + }, + { + "entropy": 5.375027513504028, + "epoch": 7.394351991931417, + "grad_norm": 1.53125, + "learning_rate": 0.00013660123323138893, + "loss": 4.6608, + "mean_token_accuracy": 0.2176942616701126, + "num_tokens": 16206435.0, + "step": 7335 + }, + { + "entropy": 5.28547511100769, + "epoch": 7.3993948562783665, + "grad_norm": 1.4609375, + "learning_rate": 0.00013628869946226738, + "loss": 4.5917, + "mean_token_accuracy": 0.22077101618051528, + "num_tokens": 16217810.0, + "step": 7340 + }, + { + "entropy": 5.324528503417969, + "epoch": 7.404437720625316, + "grad_norm": 1.453125, + "learning_rate": 0.0001359765968110676, + "loss": 4.5941, + "mean_token_accuracy": 0.2223574101924896, + "num_tokens": 16228411.0, + "step": 7345 + }, + { + "entropy": 5.295448637008667, + "epoch": 7.409480584972265, + "grad_norm": 1.1875, + "learning_rate": 0.00013566492624781198, + "loss": 4.5932, + "mean_token_accuracy": 0.21643946915864945, + "num_tokens": 16240748.0, + "step": 7350 + }, + { + "entropy": 5.334490442276001, + "epoch": 7.414523449319213, + "grad_norm": 1.3671875, + "learning_rate": 0.0001353536887411797, + "loss": 4.5299, + "mean_token_accuracy": 0.2350569635629654, + "num_tokens": 16251103.0, + "step": 7355 + }, + { + "entropy": 5.278464126586914, + "epoch": 7.419566313666162, + "grad_norm": 1.703125, + "learning_rate": 0.00013504288525850416, + "loss": 4.4974, + "mean_token_accuracy": 0.22453696578741072, + "num_tokens": 16261192.0, + "step": 7360 + }, + { + "entropy": 5.362449789047242, + "epoch": 7.424609178013111, + "grad_norm": 1.40625, + "learning_rate": 0.00013473251676576975, + "loss": 4.616, + "mean_token_accuracy": 0.2193491742014885, + "num_tokens": 16272040.0, + "step": 7365 + }, + { + "entropy": 5.270107650756836, + "epoch": 7.42965204236006, + "grad_norm": 1.4921875, + "learning_rate": 0.000134422584227609, + "loss": 4.5013, + "mean_token_accuracy": 0.23930173367261887, + "num_tokens": 16283353.0, + "step": 7370 + }, + { + "entropy": 5.390665864944458, + "epoch": 7.434694906707009, + "grad_norm": 1.375, + "learning_rate": 0.0001341130886072992, + "loss": 4.6324, + "mean_token_accuracy": 0.22283827662467956, + "num_tokens": 16294828.0, + "step": 7375 + }, + { + "entropy": 5.253811550140381, + "epoch": 7.4397377710539585, + "grad_norm": 1.296875, + "learning_rate": 0.00013380403086676014, + "loss": 4.4781, + "mean_token_accuracy": 0.23178844898939133, + "num_tokens": 16305962.0, + "step": 7380 + }, + { + "entropy": 5.328195524215698, + "epoch": 7.444780635400908, + "grad_norm": 1.453125, + "learning_rate": 0.00013349541196655006, + "loss": 4.5993, + "mean_token_accuracy": 0.2227032318711281, + "num_tokens": 16317393.0, + "step": 7385 + }, + { + "entropy": 5.331318092346192, + "epoch": 7.449823499747857, + "grad_norm": 1.4765625, + "learning_rate": 0.00013318723286586388, + "loss": 4.526, + "mean_token_accuracy": 0.23059408664703368, + "num_tokens": 16328833.0, + "step": 7390 + }, + { + "entropy": 5.3062169551849365, + "epoch": 7.454866364094806, + "grad_norm": 1.4140625, + "learning_rate": 0.0001328794945225293, + "loss": 4.5374, + "mean_token_accuracy": 0.2280798375606537, + "num_tokens": 16341317.0, + "step": 7395 + }, + { + "entropy": 5.321703195571899, + "epoch": 7.459909228441755, + "grad_norm": 1.46875, + "learning_rate": 0.00013257219789300417, + "loss": 4.5646, + "mean_token_accuracy": 0.2251522347331047, + "num_tokens": 16350975.0, + "step": 7400 + }, + { + "entropy": 5.3876220703125, + "epoch": 7.464952092788704, + "grad_norm": 1.3671875, + "learning_rate": 0.0001322653439323735, + "loss": 4.6333, + "mean_token_accuracy": 0.2244359627366066, + "num_tokens": 16362402.0, + "step": 7405 + }, + { + "entropy": 5.36578335762024, + "epoch": 7.469994957135653, + "grad_norm": 1.484375, + "learning_rate": 0.00013195893359434658, + "loss": 4.6849, + "mean_token_accuracy": 0.22018146961927415, + "num_tokens": 16373098.0, + "step": 7410 + }, + { + "entropy": 5.299588871002197, + "epoch": 7.475037821482602, + "grad_norm": 1.4765625, + "learning_rate": 0.00013165296783125357, + "loss": 4.5213, + "mean_token_accuracy": 0.23005716651678085, + "num_tokens": 16384102.0, + "step": 7415 + }, + { + "entropy": 5.366280937194825, + "epoch": 7.480080685829551, + "grad_norm": 1.453125, + "learning_rate": 0.00013134744759404332, + "loss": 4.5654, + "mean_token_accuracy": 0.22681732922792436, + "num_tokens": 16396395.0, + "step": 7420 + }, + { + "entropy": 5.3814598560333256, + "epoch": 7.4851235501765006, + "grad_norm": 1.6015625, + "learning_rate": 0.0001310423738322797, + "loss": 4.6075, + "mean_token_accuracy": 0.22390911281108855, + "num_tokens": 16406903.0, + "step": 7425 + }, + { + "entropy": 5.296126842498779, + "epoch": 7.49016641452345, + "grad_norm": 1.4375, + "learning_rate": 0.00013073774749413903, + "loss": 4.5692, + "mean_token_accuracy": 0.22573120296001434, + "num_tokens": 16418330.0, + "step": 7430 + }, + { + "entropy": 5.361040496826172, + "epoch": 7.495209278870399, + "grad_norm": 1.78125, + "learning_rate": 0.00013043356952640697, + "loss": 4.6114, + "mean_token_accuracy": 0.22498591393232345, + "num_tokens": 16428157.0, + "step": 7435 + }, + { + "entropy": 5.366618680953979, + "epoch": 7.500252143217347, + "grad_norm": 1.484375, + "learning_rate": 0.00013012984087447567, + "loss": 4.6161, + "mean_token_accuracy": 0.22266503125429155, + "num_tokens": 16439517.0, + "step": 7440 + }, + { + "entropy": 5.389238119125366, + "epoch": 7.505295007564296, + "grad_norm": 1.4375, + "learning_rate": 0.00012982656248234088, + "loss": 4.5862, + "mean_token_accuracy": 0.22562944442033767, + "num_tokens": 16450681.0, + "step": 7445 + }, + { + "entropy": 5.36590576171875, + "epoch": 7.510337871911245, + "grad_norm": 1.3203125, + "learning_rate": 0.00012952373529259863, + "loss": 4.6879, + "mean_token_accuracy": 0.2208303615450859, + "num_tokens": 16462234.0, + "step": 7450 + }, + { + "entropy": 5.239923477172852, + "epoch": 7.515380736258194, + "grad_norm": 1.4296875, + "learning_rate": 0.00012922136024644298, + "loss": 4.4677, + "mean_token_accuracy": 0.23347049206495285, + "num_tokens": 16472391.0, + "step": 7455 + }, + { + "entropy": 5.296608209609985, + "epoch": 7.5204236006051435, + "grad_norm": 1.4609375, + "learning_rate": 0.00012891943828366247, + "loss": 4.5239, + "mean_token_accuracy": 0.2323160022497177, + "num_tokens": 16484589.0, + "step": 7460 + }, + { + "entropy": 5.275177526473999, + "epoch": 7.525466464952093, + "grad_norm": 1.421875, + "learning_rate": 0.00012861797034263763, + "loss": 4.5429, + "mean_token_accuracy": 0.22243109196424485, + "num_tokens": 16495015.0, + "step": 7465 + }, + { + "entropy": 5.28558087348938, + "epoch": 7.530509329299042, + "grad_norm": 1.609375, + "learning_rate": 0.0001283169573603376, + "loss": 4.5337, + "mean_token_accuracy": 0.22720717787742614, + "num_tokens": 16506052.0, + "step": 7470 + }, + { + "entropy": 5.38506007194519, + "epoch": 7.535552193645991, + "grad_norm": 1.390625, + "learning_rate": 0.00012801640027231792, + "loss": 4.6231, + "mean_token_accuracy": 0.22220973819494247, + "num_tokens": 16516006.0, + "step": 7475 + }, + { + "entropy": 5.305652761459351, + "epoch": 7.54059505799294, + "grad_norm": 1.6484375, + "learning_rate": 0.00012771630001271668, + "loss": 4.5481, + "mean_token_accuracy": 0.23007031828165053, + "num_tokens": 16525689.0, + "step": 7480 + }, + { + "entropy": 5.411469030380249, + "epoch": 7.545637922339889, + "grad_norm": 1.53125, + "learning_rate": 0.00012741665751425253, + "loss": 4.6688, + "mean_token_accuracy": 0.22066134959459305, + "num_tokens": 16537685.0, + "step": 7485 + }, + { + "entropy": 5.292471694946289, + "epoch": 7.550680786686838, + "grad_norm": 1.5234375, + "learning_rate": 0.00012711747370822127, + "loss": 4.5434, + "mean_token_accuracy": 0.2249879539012909, + "num_tokens": 16549004.0, + "step": 7490 + }, + { + "entropy": 5.308638668060302, + "epoch": 7.555723651033787, + "grad_norm": 1.3984375, + "learning_rate": 0.00012681874952449315, + "loss": 4.5036, + "mean_token_accuracy": 0.22816321402788162, + "num_tokens": 16559828.0, + "step": 7495 + }, + { + "entropy": 5.357577991485596, + "epoch": 7.560766515380736, + "grad_norm": 1.4609375, + "learning_rate": 0.0001265204858915097, + "loss": 4.6009, + "mean_token_accuracy": 0.22611231803894044, + "num_tokens": 16571157.0, + "step": 7500 + }, + { + "entropy": 5.276933574676514, + "epoch": 7.5658093797276855, + "grad_norm": 1.3125, + "learning_rate": 0.00012622268373628127, + "loss": 4.5728, + "mean_token_accuracy": 0.22095130234956742, + "num_tokens": 16583183.0, + "step": 7505 + }, + { + "entropy": 5.30887656211853, + "epoch": 7.570852244074635, + "grad_norm": 1.4765625, + "learning_rate": 0.00012592534398438369, + "loss": 4.5435, + "mean_token_accuracy": 0.22795689702033997, + "num_tokens": 16593985.0, + "step": 7510 + }, + { + "entropy": 5.304389715194702, + "epoch": 7.575895108421584, + "grad_norm": 1.5703125, + "learning_rate": 0.00012562846755995586, + "loss": 4.5773, + "mean_token_accuracy": 0.2223420187830925, + "num_tokens": 16605084.0, + "step": 7515 + }, + { + "entropy": 5.27324481010437, + "epoch": 7.580937972768533, + "grad_norm": 1.59375, + "learning_rate": 0.00012533205538569654, + "loss": 4.5116, + "mean_token_accuracy": 0.22414469569921494, + "num_tokens": 16615754.0, + "step": 7520 + }, + { + "entropy": 5.312811994552613, + "epoch": 7.585980837115482, + "grad_norm": 1.3671875, + "learning_rate": 0.0001250361083828617, + "loss": 4.5674, + "mean_token_accuracy": 0.22256779074668884, + "num_tokens": 16626326.0, + "step": 7525 + }, + { + "entropy": 5.362917804718018, + "epoch": 7.591023701462431, + "grad_norm": 1.4140625, + "learning_rate": 0.0001247406274712613, + "loss": 4.6654, + "mean_token_accuracy": 0.21558403223752975, + "num_tokens": 16637843.0, + "step": 7530 + }, + { + "entropy": 5.3201123714447025, + "epoch": 7.59606656580938, + "grad_norm": 1.671875, + "learning_rate": 0.00012444561356925697, + "loss": 4.5289, + "mean_token_accuracy": 0.23688336163759233, + "num_tokens": 16647282.0, + "step": 7535 + }, + { + "entropy": 5.3486199378967285, + "epoch": 7.6011094301563285, + "grad_norm": 1.5, + "learning_rate": 0.00012415106759375855, + "loss": 4.6387, + "mean_token_accuracy": 0.2242850825190544, + "num_tokens": 16658830.0, + "step": 7540 + }, + { + "entropy": 5.397105884552002, + "epoch": 7.606152294503278, + "grad_norm": 1.5390625, + "learning_rate": 0.00012385699046022188, + "loss": 4.6537, + "mean_token_accuracy": 0.2174565613269806, + "num_tokens": 16671129.0, + "step": 7545 + }, + { + "entropy": 5.306834745407104, + "epoch": 7.611195158850227, + "grad_norm": 1.40625, + "learning_rate": 0.00012356338308264537, + "loss": 4.6074, + "mean_token_accuracy": 0.22890110015869142, + "num_tokens": 16681517.0, + "step": 7550 + }, + { + "entropy": 5.346094751358033, + "epoch": 7.616238023197176, + "grad_norm": 1.3984375, + "learning_rate": 0.0001232702463735676, + "loss": 4.5922, + "mean_token_accuracy": 0.22769390940666198, + "num_tokens": 16692821.0, + "step": 7555 + }, + { + "entropy": 5.306934452056884, + "epoch": 7.621280887544125, + "grad_norm": 1.5859375, + "learning_rate": 0.00012297758124406427, + "loss": 4.5288, + "mean_token_accuracy": 0.2301470398902893, + "num_tokens": 16703702.0, + "step": 7560 + }, + { + "entropy": 5.30745792388916, + "epoch": 7.626323751891074, + "grad_norm": 1.3203125, + "learning_rate": 0.00012268538860374517, + "loss": 4.6036, + "mean_token_accuracy": 0.2234151005744934, + "num_tokens": 16716613.0, + "step": 7565 + }, + { + "entropy": 5.266137027740479, + "epoch": 7.631366616238023, + "grad_norm": 1.609375, + "learning_rate": 0.00012239366936075196, + "loss": 4.5784, + "mean_token_accuracy": 0.22560738176107406, + "num_tokens": 16728305.0, + "step": 7570 + }, + { + "entropy": 5.287670373916626, + "epoch": 7.636409480584972, + "grad_norm": 1.453125, + "learning_rate": 0.00012210242442175462, + "loss": 4.5269, + "mean_token_accuracy": 0.22116995751857757, + "num_tokens": 16739690.0, + "step": 7575 + }, + { + "entropy": 5.335946035385132, + "epoch": 7.641452344931921, + "grad_norm": 1.5859375, + "learning_rate": 0.00012181165469194924, + "loss": 4.5635, + "mean_token_accuracy": 0.22129445821046828, + "num_tokens": 16749564.0, + "step": 7580 + }, + { + "entropy": 5.317498636245728, + "epoch": 7.6464952092788705, + "grad_norm": 1.40625, + "learning_rate": 0.0001215213610750548, + "loss": 4.5602, + "mean_token_accuracy": 0.2325634852051735, + "num_tokens": 16760365.0, + "step": 7585 + }, + { + "entropy": 5.32337589263916, + "epoch": 7.65153807362582, + "grad_norm": 1.453125, + "learning_rate": 0.00012123154447331064, + "loss": 4.5715, + "mean_token_accuracy": 0.22457259893417358, + "num_tokens": 16770583.0, + "step": 7590 + }, + { + "entropy": 5.356166934967041, + "epoch": 7.656580937972769, + "grad_norm": 1.328125, + "learning_rate": 0.00012094220578747332, + "loss": 4.6304, + "mean_token_accuracy": 0.22145547419786454, + "num_tokens": 16781361.0, + "step": 7595 + }, + { + "entropy": 5.274415302276611, + "epoch": 7.661623802319718, + "grad_norm": 1.390625, + "learning_rate": 0.0001206533459168143, + "loss": 4.5307, + "mean_token_accuracy": 0.22214600145816804, + "num_tokens": 16792186.0, + "step": 7600 + }, + { + "entropy": 5.318784618377686, + "epoch": 7.666666666666667, + "grad_norm": 1.2578125, + "learning_rate": 0.00012036496575911656, + "loss": 4.5802, + "mean_token_accuracy": 0.2268913507461548, + "num_tokens": 16803937.0, + "step": 7605 + }, + { + "entropy": 5.311258459091187, + "epoch": 7.671709531013616, + "grad_norm": 1.53125, + "learning_rate": 0.00012007706621067232, + "loss": 4.525, + "mean_token_accuracy": 0.2303698718547821, + "num_tokens": 16814895.0, + "step": 7610 + }, + { + "entropy": 5.31242356300354, + "epoch": 7.676752395360564, + "grad_norm": 1.71875, + "learning_rate": 0.00011978964816628008, + "loss": 4.5334, + "mean_token_accuracy": 0.22758640199899674, + "num_tokens": 16826037.0, + "step": 7615 + }, + { + "entropy": 5.271807146072388, + "epoch": 7.681795259707513, + "grad_norm": 1.5546875, + "learning_rate": 0.00011950271251924178, + "loss": 4.4724, + "mean_token_accuracy": 0.23702401518821717, + "num_tokens": 16835703.0, + "step": 7620 + }, + { + "entropy": 5.282507610321045, + "epoch": 7.6868381240544625, + "grad_norm": 1.484375, + "learning_rate": 0.00011921626016135991, + "loss": 4.5282, + "mean_token_accuracy": 0.22803466767072678, + "num_tokens": 16846539.0, + "step": 7625 + }, + { + "entropy": 5.281121873855591, + "epoch": 7.691880988401412, + "grad_norm": 1.421875, + "learning_rate": 0.00011893029198293512, + "loss": 4.5445, + "mean_token_accuracy": 0.22394832819700242, + "num_tokens": 16857817.0, + "step": 7630 + }, + { + "entropy": 5.33010630607605, + "epoch": 7.696923852748361, + "grad_norm": 1.6015625, + "learning_rate": 0.00011864480887276301, + "loss": 4.6414, + "mean_token_accuracy": 0.22376425415277482, + "num_tokens": 16868784.0, + "step": 7635 + }, + { + "entropy": 5.3465811252594, + "epoch": 7.70196671709531, + "grad_norm": 1.2265625, + "learning_rate": 0.0001183598117181317, + "loss": 4.6156, + "mean_token_accuracy": 0.2192062795162201, + "num_tokens": 16881602.0, + "step": 7640 + }, + { + "entropy": 5.277960157394409, + "epoch": 7.707009581442259, + "grad_norm": 1.28125, + "learning_rate": 0.00011807530140481896, + "loss": 4.5068, + "mean_token_accuracy": 0.22552557289600372, + "num_tokens": 16891821.0, + "step": 7645 + }, + { + "entropy": 5.327262258529663, + "epoch": 7.712052445789208, + "grad_norm": 1.4609375, + "learning_rate": 0.00011779127881708946, + "loss": 4.5091, + "mean_token_accuracy": 0.22946414947509766, + "num_tokens": 16902637.0, + "step": 7650 + }, + { + "entropy": 5.300185346603394, + "epoch": 7.717095310136157, + "grad_norm": 1.4140625, + "learning_rate": 0.0001175077448376918, + "loss": 4.535, + "mean_token_accuracy": 0.2277278035879135, + "num_tokens": 16912359.0, + "step": 7655 + }, + { + "entropy": 5.284604454040528, + "epoch": 7.722138174483106, + "grad_norm": 1.3671875, + "learning_rate": 0.0001172247003478562, + "loss": 4.5577, + "mean_token_accuracy": 0.22572640776634217, + "num_tokens": 16922724.0, + "step": 7660 + }, + { + "entropy": 5.213465547561645, + "epoch": 7.7271810388300555, + "grad_norm": 1.5859375, + "learning_rate": 0.00011694214622729157, + "loss": 4.4421, + "mean_token_accuracy": 0.23288478404283525, + "num_tokens": 16932813.0, + "step": 7665 + }, + { + "entropy": 5.313967657089234, + "epoch": 7.732223903177005, + "grad_norm": 1.3046875, + "learning_rate": 0.00011666008335418241, + "loss": 4.5577, + "mean_token_accuracy": 0.22839430570602418, + "num_tokens": 16943303.0, + "step": 7670 + }, + { + "entropy": 5.247530269622803, + "epoch": 7.737266767523954, + "grad_norm": 1.5234375, + "learning_rate": 0.0001163785126051868, + "loss": 4.5009, + "mean_token_accuracy": 0.23481897562742232, + "num_tokens": 16953634.0, + "step": 7675 + }, + { + "entropy": 5.266384077072144, + "epoch": 7.742309631870903, + "grad_norm": 1.3984375, + "learning_rate": 0.0001160974348554331, + "loss": 4.5315, + "mean_token_accuracy": 0.2252170756459236, + "num_tokens": 16965492.0, + "step": 7680 + }, + { + "entropy": 5.314987421035767, + "epoch": 7.747352496217852, + "grad_norm": 1.328125, + "learning_rate": 0.00011581685097851747, + "loss": 4.5686, + "mean_token_accuracy": 0.22445572167634964, + "num_tokens": 16977371.0, + "step": 7685 + }, + { + "entropy": 5.288613224029541, + "epoch": 7.752395360564801, + "grad_norm": 1.6484375, + "learning_rate": 0.00011553676184650096, + "loss": 4.5362, + "mean_token_accuracy": 0.22426740676164628, + "num_tokens": 16987326.0, + "step": 7690 + }, + { + "entropy": 5.283485555648804, + "epoch": 7.75743822491175, + "grad_norm": 1.328125, + "learning_rate": 0.00011525716832990722, + "loss": 4.5963, + "mean_token_accuracy": 0.22658440172672273, + "num_tokens": 16999139.0, + "step": 7695 + }, + { + "entropy": 5.3257793426513675, + "epoch": 7.762481089258699, + "grad_norm": 1.5234375, + "learning_rate": 0.00011497807129771916, + "loss": 4.5797, + "mean_token_accuracy": 0.22883530110120773, + "num_tokens": 17009448.0, + "step": 7700 + }, + { + "entropy": 5.379080009460449, + "epoch": 7.767523953605648, + "grad_norm": 1.4140625, + "learning_rate": 0.00011469947161737689, + "loss": 4.5861, + "mean_token_accuracy": 0.2224203512072563, + "num_tokens": 17021722.0, + "step": 7705 + }, + { + "entropy": 5.287229251861572, + "epoch": 7.7725668179525975, + "grad_norm": 1.515625, + "learning_rate": 0.00011442137015477464, + "loss": 4.5167, + "mean_token_accuracy": 0.23297096639871598, + "num_tokens": 17031792.0, + "step": 7710 + }, + { + "entropy": 5.319322204589843, + "epoch": 7.777609682299547, + "grad_norm": 1.5859375, + "learning_rate": 0.00011414376777425823, + "loss": 4.5327, + "mean_token_accuracy": 0.22883716523647307, + "num_tokens": 17042055.0, + "step": 7715 + }, + { + "entropy": 5.3068677425384525, + "epoch": 7.782652546646495, + "grad_norm": 1.328125, + "learning_rate": 0.00011386666533862214, + "loss": 4.5914, + "mean_token_accuracy": 0.2252935603260994, + "num_tokens": 17052857.0, + "step": 7720 + }, + { + "entropy": 5.273164224624634, + "epoch": 7.787695410993444, + "grad_norm": 1.5, + "learning_rate": 0.00011359006370910727, + "loss": 4.5537, + "mean_token_accuracy": 0.2305971637368202, + "num_tokens": 17064341.0, + "step": 7725 + }, + { + "entropy": 5.305374336242676, + "epoch": 7.792738275340393, + "grad_norm": 1.34375, + "learning_rate": 0.00011331396374539771, + "loss": 4.5731, + "mean_token_accuracy": 0.222213251888752, + "num_tokens": 17074218.0, + "step": 7730 + }, + { + "entropy": 5.308695316314697, + "epoch": 7.797781139687342, + "grad_norm": 1.4609375, + "learning_rate": 0.00011303836630561861, + "loss": 4.5905, + "mean_token_accuracy": 0.21950939744710923, + "num_tokens": 17085544.0, + "step": 7735 + }, + { + "entropy": 5.406766414642334, + "epoch": 7.802824004034291, + "grad_norm": 1.359375, + "learning_rate": 0.00011276327224633311, + "loss": 4.5959, + "mean_token_accuracy": 0.22596415579319, + "num_tokens": 17097553.0, + "step": 7740 + }, + { + "entropy": 5.344729852676392, + "epoch": 7.80786686838124, + "grad_norm": 1.3828125, + "learning_rate": 0.00011248868242254006, + "loss": 4.5757, + "mean_token_accuracy": 0.22669263333082199, + "num_tokens": 17109567.0, + "step": 7745 + }, + { + "entropy": 5.244525671005249, + "epoch": 7.81290973272819, + "grad_norm": 1.265625, + "learning_rate": 0.00011221459768767074, + "loss": 4.5121, + "mean_token_accuracy": 0.2305280089378357, + "num_tokens": 17121145.0, + "step": 7750 + }, + { + "entropy": 5.3089498519897464, + "epoch": 7.817952597075139, + "grad_norm": 1.3984375, + "learning_rate": 0.00011194101889358702, + "loss": 4.5218, + "mean_token_accuracy": 0.2350049212574959, + "num_tokens": 17132584.0, + "step": 7755 + }, + { + "entropy": 5.229285717010498, + "epoch": 7.822995461422088, + "grad_norm": 1.4453125, + "learning_rate": 0.00011166794689057794, + "loss": 4.5309, + "mean_token_accuracy": 0.2319831818342209, + "num_tokens": 17144886.0, + "step": 7760 + }, + { + "entropy": 5.328343915939331, + "epoch": 7.828038325769037, + "grad_norm": 1.2109375, + "learning_rate": 0.00011139538252735765, + "loss": 4.5736, + "mean_token_accuracy": 0.2246859759092331, + "num_tokens": 17156657.0, + "step": 7765 + }, + { + "entropy": 5.3752885341644285, + "epoch": 7.833081190115986, + "grad_norm": 1.5703125, + "learning_rate": 0.00011112332665106251, + "loss": 4.5368, + "mean_token_accuracy": 0.2304507315158844, + "num_tokens": 17167187.0, + "step": 7770 + }, + { + "entropy": 5.285399866104126, + "epoch": 7.838124054462935, + "grad_norm": 1.5625, + "learning_rate": 0.00011085178010724845, + "loss": 4.5736, + "mean_token_accuracy": 0.22975996285676956, + "num_tokens": 17177286.0, + "step": 7775 + }, + { + "entropy": 5.291580104827881, + "epoch": 7.843166918809884, + "grad_norm": 1.484375, + "learning_rate": 0.00011058074373988842, + "loss": 4.5471, + "mean_token_accuracy": 0.23216841369867325, + "num_tokens": 17188238.0, + "step": 7780 + }, + { + "entropy": 5.266287231445313, + "epoch": 7.848209783156833, + "grad_norm": 1.453125, + "learning_rate": 0.0001103102183913696, + "loss": 4.521, + "mean_token_accuracy": 0.2291943222284317, + "num_tokens": 17198718.0, + "step": 7785 + }, + { + "entropy": 5.2794482707977295, + "epoch": 7.8532526475037825, + "grad_norm": 1.421875, + "learning_rate": 0.00011004020490249116, + "loss": 4.5303, + "mean_token_accuracy": 0.228071728348732, + "num_tokens": 17210967.0, + "step": 7790 + }, + { + "entropy": 5.322843027114868, + "epoch": 7.858295511850731, + "grad_norm": 1.4765625, + "learning_rate": 0.00010977070411246107, + "loss": 4.5905, + "mean_token_accuracy": 0.2273973509669304, + "num_tokens": 17221315.0, + "step": 7795 + }, + { + "entropy": 5.3241020202636715, + "epoch": 7.86333837619768, + "grad_norm": 1.234375, + "learning_rate": 0.00010950171685889413, + "loss": 4.585, + "mean_token_accuracy": 0.22383731305599214, + "num_tokens": 17233288.0, + "step": 7800 + }, + { + "entropy": 5.3411448955535885, + "epoch": 7.868381240544629, + "grad_norm": 1.3984375, + "learning_rate": 0.00010923324397780887, + "loss": 4.6326, + "mean_token_accuracy": 0.22491965144872667, + "num_tokens": 17244615.0, + "step": 7805 + }, + { + "entropy": 5.342803716659546, + "epoch": 7.873424104891578, + "grad_norm": 1.421875, + "learning_rate": 0.00010896528630362531, + "loss": 4.6321, + "mean_token_accuracy": 0.21376804858446122, + "num_tokens": 17257160.0, + "step": 7810 + }, + { + "entropy": 5.293786811828613, + "epoch": 7.878466969238527, + "grad_norm": 1.4609375, + "learning_rate": 0.00010869784466916193, + "loss": 4.5543, + "mean_token_accuracy": 0.23080696016550065, + "num_tokens": 17267031.0, + "step": 7815 + }, + { + "entropy": 5.2784459590911865, + "epoch": 7.883509833585476, + "grad_norm": 1.3828125, + "learning_rate": 0.00010843091990563365, + "loss": 4.5285, + "mean_token_accuracy": 0.22890277504920958, + "num_tokens": 17278646.0, + "step": 7820 + }, + { + "entropy": 5.277114963531494, + "epoch": 7.888552697932425, + "grad_norm": 1.515625, + "learning_rate": 0.00010816451284264864, + "loss": 4.5253, + "mean_token_accuracy": 0.23021158277988435, + "num_tokens": 17289850.0, + "step": 7825 + }, + { + "entropy": 5.268877267837524, + "epoch": 7.8935955622793745, + "grad_norm": 1.453125, + "learning_rate": 0.00010789862430820626, + "loss": 4.4812, + "mean_token_accuracy": 0.23131601512432098, + "num_tokens": 17300310.0, + "step": 7830 + }, + { + "entropy": 5.332101154327392, + "epoch": 7.898638426626324, + "grad_norm": 1.328125, + "learning_rate": 0.00010763325512869422, + "loss": 4.5342, + "mean_token_accuracy": 0.22362216264009477, + "num_tokens": 17311018.0, + "step": 7835 + }, + { + "entropy": 5.323485040664673, + "epoch": 7.903681290973273, + "grad_norm": 1.234375, + "learning_rate": 0.0001073684061288861, + "loss": 4.5738, + "mean_token_accuracy": 0.22401265501976014, + "num_tokens": 17322514.0, + "step": 7840 + }, + { + "entropy": 5.274320220947265, + "epoch": 7.908724155320222, + "grad_norm": 1.4765625, + "learning_rate": 0.00010710407813193859, + "loss": 4.4651, + "mean_token_accuracy": 0.2336328610777855, + "num_tokens": 17333380.0, + "step": 7845 + }, + { + "entropy": 5.331114625930786, + "epoch": 7.913767019667171, + "grad_norm": 1.6640625, + "learning_rate": 0.00010684027195938936, + "loss": 4.5531, + "mean_token_accuracy": 0.22855425477027894, + "num_tokens": 17343634.0, + "step": 7850 + }, + { + "entropy": 5.296746158599854, + "epoch": 7.91880988401412, + "grad_norm": 1.515625, + "learning_rate": 0.0001065769884311539, + "loss": 4.5453, + "mean_token_accuracy": 0.22929067760705948, + "num_tokens": 17354406.0, + "step": 7855 + }, + { + "entropy": 5.304460239410401, + "epoch": 7.923852748361069, + "grad_norm": 1.4453125, + "learning_rate": 0.00010631422836552354, + "loss": 4.5345, + "mean_token_accuracy": 0.2316679462790489, + "num_tokens": 17365744.0, + "step": 7860 + }, + { + "entropy": 5.32832899093628, + "epoch": 7.928895612708018, + "grad_norm": 1.6875, + "learning_rate": 0.00010605199257916269, + "loss": 4.5223, + "mean_token_accuracy": 0.22830361276865005, + "num_tokens": 17374568.0, + "step": 7865 + }, + { + "entropy": 5.287968444824219, + "epoch": 7.9339384770549675, + "grad_norm": 1.609375, + "learning_rate": 0.00010579028188710619, + "loss": 4.5964, + "mean_token_accuracy": 0.23095479160547255, + "num_tokens": 17383758.0, + "step": 7870 + }, + { + "entropy": 5.323292398452759, + "epoch": 7.938981341401917, + "grad_norm": 1.53125, + "learning_rate": 0.00010552909710275693, + "loss": 4.5564, + "mean_token_accuracy": 0.22401752173900605, + "num_tokens": 17394959.0, + "step": 7875 + }, + { + "entropy": 5.272700023651123, + "epoch": 7.944024205748866, + "grad_norm": 1.4609375, + "learning_rate": 0.00010526843903788319, + "loss": 4.5073, + "mean_token_accuracy": 0.227046637237072, + "num_tokens": 17406081.0, + "step": 7880 + }, + { + "entropy": 5.278417110443115, + "epoch": 7.949067070095815, + "grad_norm": 1.375, + "learning_rate": 0.00010500830850261634, + "loss": 4.5866, + "mean_token_accuracy": 0.2223927065730095, + "num_tokens": 17416991.0, + "step": 7885 + }, + { + "entropy": 5.282284498214722, + "epoch": 7.954109934442764, + "grad_norm": 1.5390625, + "learning_rate": 0.00010474870630544797, + "loss": 4.5459, + "mean_token_accuracy": 0.22871990650892257, + "num_tokens": 17428852.0, + "step": 7890 + }, + { + "entropy": 5.3556859493255615, + "epoch": 7.959152798789713, + "grad_norm": 1.5078125, + "learning_rate": 0.00010448963325322772, + "loss": 4.6, + "mean_token_accuracy": 0.22484390884637834, + "num_tokens": 17441392.0, + "step": 7895 + }, + { + "entropy": 5.238609409332275, + "epoch": 7.964195663136661, + "grad_norm": 1.640625, + "learning_rate": 0.00010423109015116065, + "loss": 4.5164, + "mean_token_accuracy": 0.22583680748939514, + "num_tokens": 17451424.0, + "step": 7900 + }, + { + "entropy": 5.3415234088897705, + "epoch": 7.96923852748361, + "grad_norm": 1.2109375, + "learning_rate": 0.00010397307780280477, + "loss": 4.6164, + "mean_token_accuracy": 0.22037048786878585, + "num_tokens": 17462844.0, + "step": 7905 + }, + { + "entropy": 5.39510326385498, + "epoch": 7.9742813918305595, + "grad_norm": 1.5078125, + "learning_rate": 0.00010371559701006825, + "loss": 4.6591, + "mean_token_accuracy": 0.21631602793931962, + "num_tokens": 17474762.0, + "step": 7910 + }, + { + "entropy": 5.3185008525848385, + "epoch": 7.979324256177509, + "grad_norm": 1.4296875, + "learning_rate": 0.00010345864857320747, + "loss": 4.4361, + "mean_token_accuracy": 0.2360628515481949, + "num_tokens": 17484183.0, + "step": 7915 + }, + { + "entropy": 5.312637233734131, + "epoch": 7.984367120524458, + "grad_norm": 1.234375, + "learning_rate": 0.00010320223329082396, + "loss": 4.5867, + "mean_token_accuracy": 0.22681370079517366, + "num_tokens": 17496633.0, + "step": 7920 + }, + { + "entropy": 5.301121377944947, + "epoch": 7.989409984871407, + "grad_norm": 1.25, + "learning_rate": 0.0001029463519598624, + "loss": 4.5431, + "mean_token_accuracy": 0.22839869260787965, + "num_tokens": 17508045.0, + "step": 7925 + }, + { + "entropy": 5.288463926315307, + "epoch": 7.994452849218356, + "grad_norm": 1.4921875, + "learning_rate": 0.00010269100537560789, + "loss": 4.5306, + "mean_token_accuracy": 0.2247989997267723, + "num_tokens": 17521106.0, + "step": 7930 + }, + { + "entropy": 5.356024360656738, + "epoch": 7.999495713565305, + "grad_norm": 1.5390625, + "learning_rate": 0.00010243619433168352, + "loss": 4.6395, + "mean_token_accuracy": 0.2223085269331932, + "num_tokens": 17532544.0, + "step": 7935 + }, + { + "entropy": 5.3616312344868975, + "epoch": 8.00403429147756, + "grad_norm": 1.34375, + "learning_rate": 0.00010218191962004781, + "loss": 4.547, + "mean_token_accuracy": 0.2326621562242508, + "num_tokens": 17542119.0, + "step": 7940 + }, + { + "entropy": 5.311877346038818, + "epoch": 8.009077155824508, + "grad_norm": 1.328125, + "learning_rate": 0.00010192818203099258, + "loss": 4.4358, + "mean_token_accuracy": 0.23654426783323287, + "num_tokens": 17553355.0, + "step": 7945 + }, + { + "entropy": 5.258828115463257, + "epoch": 8.014120020171458, + "grad_norm": 1.53125, + "learning_rate": 0.0001016749823531399, + "loss": 4.3704, + "mean_token_accuracy": 0.24314106851816178, + "num_tokens": 17563234.0, + "step": 7950 + }, + { + "entropy": 5.268916511535645, + "epoch": 8.019162884518407, + "grad_norm": 1.2890625, + "learning_rate": 0.00010142232137344036, + "loss": 4.4797, + "mean_token_accuracy": 0.2338918849825859, + "num_tokens": 17575492.0, + "step": 7955 + }, + { + "entropy": 5.314383029937744, + "epoch": 8.024205748865356, + "grad_norm": 1.4140625, + "learning_rate": 0.00010117019987717005, + "loss": 4.4877, + "mean_token_accuracy": 0.2365739092230797, + "num_tokens": 17585617.0, + "step": 7960 + }, + { + "entropy": 5.3489385604858395, + "epoch": 8.029248613212305, + "grad_norm": 1.3125, + "learning_rate": 0.00010091861864792848, + "loss": 4.5526, + "mean_token_accuracy": 0.22858421206474305, + "num_tokens": 17597120.0, + "step": 7965 + }, + { + "entropy": 5.2441305160522464, + "epoch": 8.034291477559254, + "grad_norm": 1.375, + "learning_rate": 0.0001006675784676358, + "loss": 4.4416, + "mean_token_accuracy": 0.23799983263015748, + "num_tokens": 17608571.0, + "step": 7970 + }, + { + "entropy": 5.3542809009552, + "epoch": 8.039334341906203, + "grad_norm": 1.5859375, + "learning_rate": 0.00010041708011653081, + "loss": 4.5658, + "mean_token_accuracy": 0.2330212876200676, + "num_tokens": 17618849.0, + "step": 7975 + }, + { + "entropy": 5.297583866119385, + "epoch": 8.044377206253152, + "grad_norm": 1.328125, + "learning_rate": 0.00010016712437316799, + "loss": 4.5363, + "mean_token_accuracy": 0.22871415317058563, + "num_tokens": 17629677.0, + "step": 7980 + }, + { + "entropy": 5.313520288467407, + "epoch": 8.049420070600101, + "grad_norm": 1.53125, + "learning_rate": 9.991771201441569e-05, + "loss": 4.5538, + "mean_token_accuracy": 0.2283458888530731, + "num_tokens": 17640896.0, + "step": 7985 + }, + { + "entropy": 5.271265649795533, + "epoch": 8.05446293494705, + "grad_norm": 1.40625, + "learning_rate": 9.966884381545322e-05, + "loss": 4.4709, + "mean_token_accuracy": 0.231563700735569, + "num_tokens": 17651844.0, + "step": 7990 + }, + { + "entropy": 5.3346508026123045, + "epoch": 8.059505799294, + "grad_norm": 1.34375, + "learning_rate": 9.942052054976872e-05, + "loss": 4.5024, + "mean_token_accuracy": 0.23163753002882004, + "num_tokens": 17663155.0, + "step": 7995 + }, + { + "entropy": 5.311872243881226, + "epoch": 8.064548663640949, + "grad_norm": 1.5546875, + "learning_rate": 9.917274298915665e-05, + "loss": 4.4887, + "mean_token_accuracy": 0.2358957439661026, + "num_tokens": 17673459.0, + "step": 8000 + }, + { + "epoch": 8.064548663640949, + "eval_entropy": 5.197940458171543, + "eval_loss": 5.663304328918457, + "eval_mean_token_accuracy": 0.1566847822707118, + "eval_num_tokens": 17673459.0, + "eval_runtime": 2.0274, + "eval_samples_per_second": 1547.776, + "eval_steps_per_second": 193.842, + "step": 8000 + }, + { + "entropy": 5.352674770355224, + "epoch": 8.069591527987898, + "grad_norm": 1.6171875, + "learning_rate": 9.892551190371529e-05, + "loss": 4.5428, + "mean_token_accuracy": 0.22682093530893327, + "num_tokens": 17683643.0, + "step": 8005 + }, + { + "entropy": 5.325619745254516, + "epoch": 8.074634392334847, + "grad_norm": 1.671875, + "learning_rate": 9.867882806184469e-05, + "loss": 4.5126, + "mean_token_accuracy": 0.23866982758045197, + "num_tokens": 17693221.0, + "step": 8010 + }, + { + "entropy": 5.307823419570923, + "epoch": 8.079677256681796, + "grad_norm": 1.2578125, + "learning_rate": 9.843269223024376e-05, + "loss": 4.5581, + "mean_token_accuracy": 0.22953882664442063, + "num_tokens": 17704613.0, + "step": 8015 + }, + { + "entropy": 5.332580852508545, + "epoch": 8.084720121028745, + "grad_norm": 1.234375, + "learning_rate": 9.818710517390841e-05, + "loss": 4.5638, + "mean_token_accuracy": 0.22718493938446044, + "num_tokens": 17716583.0, + "step": 8020 + }, + { + "entropy": 5.30693473815918, + "epoch": 8.089762985375694, + "grad_norm": 1.6328125, + "learning_rate": 9.794206765612893e-05, + "loss": 4.5263, + "mean_token_accuracy": 0.23354125767946243, + "num_tokens": 17727110.0, + "step": 8025 + }, + { + "entropy": 5.273364114761352, + "epoch": 8.094805849722642, + "grad_norm": 1.4921875, + "learning_rate": 9.76975804384876e-05, + "loss": 4.4103, + "mean_token_accuracy": 0.24297529458999634, + "num_tokens": 17738036.0, + "step": 8030 + }, + { + "entropy": 5.342508220672608, + "epoch": 8.09984871406959, + "grad_norm": 1.5234375, + "learning_rate": 9.745364428085618e-05, + "loss": 4.5626, + "mean_token_accuracy": 0.23164557665586472, + "num_tokens": 17749065.0, + "step": 8035 + }, + { + "entropy": 5.3701817989349365, + "epoch": 8.10489157841654, + "grad_norm": 1.4296875, + "learning_rate": 9.721025994139404e-05, + "loss": 4.5478, + "mean_token_accuracy": 0.22957450598478318, + "num_tokens": 17760290.0, + "step": 8040 + }, + { + "entropy": 5.310699987411499, + "epoch": 8.109934442763489, + "grad_norm": 1.421875, + "learning_rate": 9.696742817654519e-05, + "loss": 4.4612, + "mean_token_accuracy": 0.23730871677398682, + "num_tokens": 17770861.0, + "step": 8045 + }, + { + "entropy": 5.33531641960144, + "epoch": 8.114977307110438, + "grad_norm": 1.5546875, + "learning_rate": 9.672514974103643e-05, + "loss": 4.5009, + "mean_token_accuracy": 0.23770394474267958, + "num_tokens": 17780610.0, + "step": 8050 + }, + { + "entropy": 5.282561922073365, + "epoch": 8.120020171457387, + "grad_norm": 1.28125, + "learning_rate": 9.648342538787467e-05, + "loss": 4.5347, + "mean_token_accuracy": 0.22920601218938827, + "num_tokens": 17793132.0, + "step": 8055 + }, + { + "entropy": 5.295777273178101, + "epoch": 8.125063035804336, + "grad_norm": 1.421875, + "learning_rate": 9.62422558683449e-05, + "loss": 4.4863, + "mean_token_accuracy": 0.23499085009098053, + "num_tokens": 17805327.0, + "step": 8060 + }, + { + "entropy": 5.336393976211548, + "epoch": 8.130105900151285, + "grad_norm": 1.4765625, + "learning_rate": 9.600164193200742e-05, + "loss": 4.5229, + "mean_token_accuracy": 0.23070756196975709, + "num_tokens": 17815702.0, + "step": 8065 + }, + { + "entropy": 5.220580387115478, + "epoch": 8.135148764498235, + "grad_norm": 1.53125, + "learning_rate": 9.576158432669599e-05, + "loss": 4.4122, + "mean_token_accuracy": 0.24020996391773225, + "num_tokens": 17827025.0, + "step": 8070 + }, + { + "entropy": 5.272632789611817, + "epoch": 8.140191628845184, + "grad_norm": 1.40625, + "learning_rate": 9.552208379851507e-05, + "loss": 4.4359, + "mean_token_accuracy": 0.24183342307806016, + "num_tokens": 17837626.0, + "step": 8075 + }, + { + "entropy": 5.254662370681762, + "epoch": 8.145234493192133, + "grad_norm": 1.265625, + "learning_rate": 9.528314109183788e-05, + "loss": 4.4956, + "mean_token_accuracy": 0.23561565428972245, + "num_tokens": 17850164.0, + "step": 8080 + }, + { + "entropy": 5.2602503299713135, + "epoch": 8.150277357539082, + "grad_norm": 1.5078125, + "learning_rate": 9.504475694930392e-05, + "loss": 4.4681, + "mean_token_accuracy": 0.23302088379859925, + "num_tokens": 17861076.0, + "step": 8085 + }, + { + "entropy": 5.265198755264282, + "epoch": 8.155320221886031, + "grad_norm": 1.546875, + "learning_rate": 9.480693211181654e-05, + "loss": 4.4372, + "mean_token_accuracy": 0.23473426401615144, + "num_tokens": 17872050.0, + "step": 8090 + }, + { + "entropy": 5.28236403465271, + "epoch": 8.16036308623298, + "grad_norm": 1.5, + "learning_rate": 9.456966731854089e-05, + "loss": 4.474, + "mean_token_accuracy": 0.23405540585517884, + "num_tokens": 17883535.0, + "step": 8095 + }, + { + "entropy": 5.271676158905029, + "epoch": 8.16540595057993, + "grad_norm": 1.4609375, + "learning_rate": 9.43329633069013e-05, + "loss": 4.5007, + "mean_token_accuracy": 0.23558154404163362, + "num_tokens": 17893581.0, + "step": 8100 + }, + { + "entropy": 5.334139204025268, + "epoch": 8.170448814926878, + "grad_norm": 1.5078125, + "learning_rate": 9.409682081257947e-05, + "loss": 4.4786, + "mean_token_accuracy": 0.23805191218852997, + "num_tokens": 17904428.0, + "step": 8105 + }, + { + "entropy": 5.278112745285034, + "epoch": 8.175491679273827, + "grad_norm": 1.484375, + "learning_rate": 9.386124056951154e-05, + "loss": 4.4927, + "mean_token_accuracy": 0.22673436254262924, + "num_tokens": 17914980.0, + "step": 8110 + }, + { + "entropy": 5.326941251754761, + "epoch": 8.180534543620777, + "grad_norm": 1.5390625, + "learning_rate": 9.362622330988641e-05, + "loss": 4.5306, + "mean_token_accuracy": 0.23037047386169435, + "num_tokens": 17926911.0, + "step": 8115 + }, + { + "entropy": 5.291370487213134, + "epoch": 8.185577407967726, + "grad_norm": 1.4765625, + "learning_rate": 9.339176976414317e-05, + "loss": 4.4902, + "mean_token_accuracy": 0.22969938963651657, + "num_tokens": 17939155.0, + "step": 8120 + }, + { + "entropy": 5.331668901443481, + "epoch": 8.190620272314675, + "grad_norm": 1.5078125, + "learning_rate": 9.315788066096892e-05, + "loss": 4.5721, + "mean_token_accuracy": 0.23044044971466066, + "num_tokens": 17950325.0, + "step": 8125 + }, + { + "entropy": 5.289478731155396, + "epoch": 8.195663136661624, + "grad_norm": 1.34375, + "learning_rate": 9.292455672729619e-05, + "loss": 4.5035, + "mean_token_accuracy": 0.22878214567899705, + "num_tokens": 17960735.0, + "step": 8130 + }, + { + "entropy": 5.315530443191529, + "epoch": 8.200706001008573, + "grad_norm": 1.359375, + "learning_rate": 9.269179868830135e-05, + "loss": 4.5474, + "mean_token_accuracy": 0.22475713044404982, + "num_tokens": 17971559.0, + "step": 8135 + }, + { + "entropy": 5.339377117156983, + "epoch": 8.205748865355522, + "grad_norm": 1.515625, + "learning_rate": 9.24596072674016e-05, + "loss": 4.5329, + "mean_token_accuracy": 0.23661800622940063, + "num_tokens": 17982572.0, + "step": 8140 + }, + { + "entropy": 5.3472589492797855, + "epoch": 8.210791729702471, + "grad_norm": 1.2265625, + "learning_rate": 9.222798318625327e-05, + "loss": 4.4697, + "mean_token_accuracy": 0.23767152130603791, + "num_tokens": 17994023.0, + "step": 8145 + }, + { + "entropy": 5.247767305374145, + "epoch": 8.21583459404942, + "grad_norm": 1.4765625, + "learning_rate": 9.19969271647494e-05, + "loss": 4.4562, + "mean_token_accuracy": 0.2356335386633873, + "num_tokens": 18006238.0, + "step": 8150 + }, + { + "entropy": 5.295353889465332, + "epoch": 8.22087745839637, + "grad_norm": 1.4453125, + "learning_rate": 9.176643992101749e-05, + "loss": 4.5228, + "mean_token_accuracy": 0.23788602501153946, + "num_tokens": 18017512.0, + "step": 8155 + }, + { + "entropy": 5.275677919387817, + "epoch": 8.225920322743319, + "grad_norm": 1.7109375, + "learning_rate": 9.153652217141703e-05, + "loss": 4.4099, + "mean_token_accuracy": 0.2341581955552101, + "num_tokens": 18028336.0, + "step": 8160 + }, + { + "entropy": 5.267184495925903, + "epoch": 8.230963187090268, + "grad_norm": 1.4140625, + "learning_rate": 9.130717463053787e-05, + "loss": 4.4483, + "mean_token_accuracy": 0.22836686670780182, + "num_tokens": 18038656.0, + "step": 8165 + }, + { + "entropy": 5.278770303726196, + "epoch": 8.236006051437217, + "grad_norm": 1.4609375, + "learning_rate": 9.10783980111973e-05, + "loss": 4.5617, + "mean_token_accuracy": 0.22440724819898605, + "num_tokens": 18049485.0, + "step": 8170 + }, + { + "entropy": 5.271354532241821, + "epoch": 8.241048915784166, + "grad_norm": 1.375, + "learning_rate": 9.085019302443842e-05, + "loss": 4.5606, + "mean_token_accuracy": 0.2304358407855034, + "num_tokens": 18060653.0, + "step": 8175 + }, + { + "entropy": 5.380328702926636, + "epoch": 8.246091780131115, + "grad_norm": 1.453125, + "learning_rate": 9.062256037952757e-05, + "loss": 4.5896, + "mean_token_accuracy": 0.22865317463874818, + "num_tokens": 18072292.0, + "step": 8180 + }, + { + "entropy": 5.304055833816529, + "epoch": 8.251134644478064, + "grad_norm": 1.390625, + "learning_rate": 9.039550078395234e-05, + "loss": 4.5009, + "mean_token_accuracy": 0.23551645874977112, + "num_tokens": 18084308.0, + "step": 8185 + }, + { + "entropy": 5.268698740005493, + "epoch": 8.256177508825013, + "grad_norm": 1.4375, + "learning_rate": 9.016901494341906e-05, + "loss": 4.41, + "mean_token_accuracy": 0.2378571793437004, + "num_tokens": 18094794.0, + "step": 8190 + }, + { + "entropy": 5.349025106430053, + "epoch": 8.261220373171962, + "grad_norm": 1.359375, + "learning_rate": 8.994310356185098e-05, + "loss": 4.5583, + "mean_token_accuracy": 0.22680319100618362, + "num_tokens": 18105766.0, + "step": 8195 + }, + { + "entropy": 5.306898689270019, + "epoch": 8.266263237518912, + "grad_norm": 1.3046875, + "learning_rate": 8.971776734138601e-05, + "loss": 4.5023, + "mean_token_accuracy": 0.23448747247457505, + "num_tokens": 18117294.0, + "step": 8200 + }, + { + "entropy": 5.274191951751709, + "epoch": 8.27130610186586, + "grad_norm": 1.3828125, + "learning_rate": 8.949300698237414e-05, + "loss": 4.4918, + "mean_token_accuracy": 0.23784505128860473, + "num_tokens": 18128204.0, + "step": 8205 + }, + { + "entropy": 5.292112970352173, + "epoch": 8.276348966212808, + "grad_norm": 1.328125, + "learning_rate": 8.926882318337586e-05, + "loss": 4.5383, + "mean_token_accuracy": 0.23145176768302916, + "num_tokens": 18140531.0, + "step": 8210 + }, + { + "entropy": 5.270181465148926, + "epoch": 8.281391830559757, + "grad_norm": 1.4140625, + "learning_rate": 8.904521664115956e-05, + "loss": 4.4315, + "mean_token_accuracy": 0.2391411155462265, + "num_tokens": 18150620.0, + "step": 8215 + }, + { + "entropy": 5.399681901931762, + "epoch": 8.286434694906706, + "grad_norm": 1.6171875, + "learning_rate": 8.882218805069958e-05, + "loss": 4.5765, + "mean_token_accuracy": 0.22955839782953263, + "num_tokens": 18161636.0, + "step": 8220 + }, + { + "entropy": 5.335456800460816, + "epoch": 8.291477559253655, + "grad_norm": 1.578125, + "learning_rate": 8.859973810517383e-05, + "loss": 4.524, + "mean_token_accuracy": 0.23283907473087312, + "num_tokens": 18172160.0, + "step": 8225 + }, + { + "entropy": 5.359493827819824, + "epoch": 8.296520423600604, + "grad_norm": 1.4765625, + "learning_rate": 8.8377867495962e-05, + "loss": 4.453, + "mean_token_accuracy": 0.23759755343198777, + "num_tokens": 18182512.0, + "step": 8230 + }, + { + "entropy": 5.251506376266479, + "epoch": 8.301563287947554, + "grad_norm": 1.6796875, + "learning_rate": 8.815657691264288e-05, + "loss": 4.4524, + "mean_token_accuracy": 0.23561065196990966, + "num_tokens": 18192506.0, + "step": 8235 + }, + { + "entropy": 5.384594917297363, + "epoch": 8.306606152294503, + "grad_norm": 1.25, + "learning_rate": 8.793586704299284e-05, + "loss": 4.4963, + "mean_token_accuracy": 0.23566225171089172, + "num_tokens": 18204450.0, + "step": 8240 + }, + { + "entropy": 5.351549339294434, + "epoch": 8.311649016641452, + "grad_norm": 1.5, + "learning_rate": 8.77157385729832e-05, + "loss": 4.5146, + "mean_token_accuracy": 0.23212123811244964, + "num_tokens": 18215258.0, + "step": 8245 + }, + { + "entropy": 5.2661947250366214, + "epoch": 8.316691880988401, + "grad_norm": 1.3125, + "learning_rate": 8.749619218677842e-05, + "loss": 4.4961, + "mean_token_accuracy": 0.22762379348278045, + "num_tokens": 18226321.0, + "step": 8250 + }, + { + "entropy": 5.307701349258423, + "epoch": 8.32173474533535, + "grad_norm": 1.609375, + "learning_rate": 8.727722856673357e-05, + "loss": 4.5269, + "mean_token_accuracy": 0.2295282930135727, + "num_tokens": 18236639.0, + "step": 8255 + }, + { + "entropy": 5.285016107559204, + "epoch": 8.3267776096823, + "grad_norm": 1.46875, + "learning_rate": 8.705884839339279e-05, + "loss": 4.4804, + "mean_token_accuracy": 0.2369121178984642, + "num_tokens": 18248753.0, + "step": 8260 + }, + { + "entropy": 5.279603385925293, + "epoch": 8.331820474029248, + "grad_norm": 1.3515625, + "learning_rate": 8.684105234548658e-05, + "loss": 4.5201, + "mean_token_accuracy": 0.22874957621097564, + "num_tokens": 18261692.0, + "step": 8265 + }, + { + "entropy": 5.3035482406616214, + "epoch": 8.336863338376197, + "grad_norm": 1.6796875, + "learning_rate": 8.66238410999301e-05, + "loss": 4.544, + "mean_token_accuracy": 0.22817300856113434, + "num_tokens": 18272650.0, + "step": 8270 + }, + { + "entropy": 5.334586095809937, + "epoch": 8.341906202723147, + "grad_norm": 1.5390625, + "learning_rate": 8.640721533182092e-05, + "loss": 4.5217, + "mean_token_accuracy": 0.2339993894100189, + "num_tokens": 18282929.0, + "step": 8275 + }, + { + "entropy": 5.4010186195373535, + "epoch": 8.346949067070096, + "grad_norm": 1.3984375, + "learning_rate": 8.619117571443702e-05, + "loss": 4.6817, + "mean_token_accuracy": 0.2223025307059288, + "num_tokens": 18295444.0, + "step": 8280 + }, + { + "entropy": 5.233229064941407, + "epoch": 8.351991931417045, + "grad_norm": 1.5234375, + "learning_rate": 8.597572291923438e-05, + "loss": 4.4539, + "mean_token_accuracy": 0.2277043879032135, + "num_tokens": 18305657.0, + "step": 8285 + }, + { + "entropy": 5.306624221801758, + "epoch": 8.357034795763994, + "grad_norm": 1.375, + "learning_rate": 8.576085761584534e-05, + "loss": 4.4761, + "mean_token_accuracy": 0.23428357094526292, + "num_tokens": 18316184.0, + "step": 8290 + }, + { + "entropy": 5.342684125900268, + "epoch": 8.362077660110943, + "grad_norm": 1.4609375, + "learning_rate": 8.554658047207616e-05, + "loss": 4.5215, + "mean_token_accuracy": 0.23468310236930848, + "num_tokens": 18327016.0, + "step": 8295 + }, + { + "entropy": 5.316476726531983, + "epoch": 8.367120524457892, + "grad_norm": 1.46875, + "learning_rate": 8.533289215390516e-05, + "loss": 4.4722, + "mean_token_accuracy": 0.23727608919143678, + "num_tokens": 18338590.0, + "step": 8300 + }, + { + "entropy": 5.351222085952759, + "epoch": 8.372163388804841, + "grad_norm": 1.5546875, + "learning_rate": 8.51197933254806e-05, + "loss": 4.547, + "mean_token_accuracy": 0.23105552792549133, + "num_tokens": 18349866.0, + "step": 8305 + }, + { + "entropy": 5.312223625183106, + "epoch": 8.37720625315179, + "grad_norm": 1.4453125, + "learning_rate": 8.490728464911849e-05, + "loss": 4.4871, + "mean_token_accuracy": 0.2325897753238678, + "num_tokens": 18360594.0, + "step": 8310 + }, + { + "entropy": 5.294418430328369, + "epoch": 8.38224911749874, + "grad_norm": 1.5078125, + "learning_rate": 8.469536678530085e-05, + "loss": 4.5532, + "mean_token_accuracy": 0.22960570603609085, + "num_tokens": 18372559.0, + "step": 8315 + }, + { + "entropy": 5.293284893035889, + "epoch": 8.387291981845689, + "grad_norm": 1.75, + "learning_rate": 8.448404039267308e-05, + "loss": 4.5321, + "mean_token_accuracy": 0.22591764479875565, + "num_tokens": 18382854.0, + "step": 8320 + }, + { + "entropy": 5.2511608600616455, + "epoch": 8.392334846192638, + "grad_norm": 1.4921875, + "learning_rate": 8.427330612804266e-05, + "loss": 4.5163, + "mean_token_accuracy": 0.229783333837986, + "num_tokens": 18394346.0, + "step": 8325 + }, + { + "entropy": 5.233087253570557, + "epoch": 8.397377710539587, + "grad_norm": 1.2734375, + "learning_rate": 8.406316464637639e-05, + "loss": 4.4883, + "mean_token_accuracy": 0.23750038892030717, + "num_tokens": 18406353.0, + "step": 8330 + }, + { + "entropy": 5.32005090713501, + "epoch": 8.402420574886536, + "grad_norm": 1.4765625, + "learning_rate": 8.385361660079896e-05, + "loss": 4.504, + "mean_token_accuracy": 0.23628456443548201, + "num_tokens": 18416834.0, + "step": 8335 + }, + { + "entropy": 5.258664274215699, + "epoch": 8.407463439233485, + "grad_norm": 1.4296875, + "learning_rate": 8.364466264259046e-05, + "loss": 4.4532, + "mean_token_accuracy": 0.23306116312742234, + "num_tokens": 18426925.0, + "step": 8340 + }, + { + "entropy": 5.300839614868164, + "epoch": 8.412506303580434, + "grad_norm": 1.65625, + "learning_rate": 8.343630342118471e-05, + "loss": 4.4813, + "mean_token_accuracy": 0.23733390271663665, + "num_tokens": 18437102.0, + "step": 8345 + }, + { + "entropy": 5.277389287948608, + "epoch": 8.417549167927383, + "grad_norm": 1.4609375, + "learning_rate": 8.322853958416685e-05, + "loss": 4.4765, + "mean_token_accuracy": 0.23388835042715073, + "num_tokens": 18448175.0, + "step": 8350 + }, + { + "entropy": 5.312002801895142, + "epoch": 8.422592032274332, + "grad_norm": 1.5, + "learning_rate": 8.30213717772718e-05, + "loss": 4.4706, + "mean_token_accuracy": 0.23043503761291503, + "num_tokens": 18458783.0, + "step": 8355 + }, + { + "entropy": 5.257656860351562, + "epoch": 8.427634896621282, + "grad_norm": 1.4375, + "learning_rate": 8.281480064438176e-05, + "loss": 4.4822, + "mean_token_accuracy": 0.2296173691749573, + "num_tokens": 18468682.0, + "step": 8360 + }, + { + "entropy": 5.312533378601074, + "epoch": 8.43267776096823, + "grad_norm": 1.34375, + "learning_rate": 8.260882682752464e-05, + "loss": 4.5333, + "mean_token_accuracy": 0.23024211972951888, + "num_tokens": 18479463.0, + "step": 8365 + }, + { + "entropy": 5.299008989334107, + "epoch": 8.43772062531518, + "grad_norm": 1.40625, + "learning_rate": 8.24034509668718e-05, + "loss": 4.4983, + "mean_token_accuracy": 0.23724039793014526, + "num_tokens": 18489950.0, + "step": 8370 + }, + { + "entropy": 5.243077754974365, + "epoch": 8.442763489662129, + "grad_norm": 1.4609375, + "learning_rate": 8.219867370073623e-05, + "loss": 4.4583, + "mean_token_accuracy": 0.23545053452253342, + "num_tokens": 18500595.0, + "step": 8375 + }, + { + "entropy": 5.265069961547852, + "epoch": 8.447806354009078, + "grad_norm": 1.4140625, + "learning_rate": 8.199449566557029e-05, + "loss": 4.497, + "mean_token_accuracy": 0.2314571261405945, + "num_tokens": 18512528.0, + "step": 8380 + }, + { + "entropy": 5.324420356750489, + "epoch": 8.452849218356025, + "grad_norm": 1.3984375, + "learning_rate": 8.179091749596409e-05, + "loss": 4.5199, + "mean_token_accuracy": 0.23473057597875596, + "num_tokens": 18523270.0, + "step": 8385 + }, + { + "entropy": 5.261176633834839, + "epoch": 8.457892082702974, + "grad_norm": 1.6640625, + "learning_rate": 8.158793982464322e-05, + "loss": 4.4809, + "mean_token_accuracy": 0.23331398367881775, + "num_tokens": 18533383.0, + "step": 8390 + }, + { + "entropy": 5.266073417663574, + "epoch": 8.462934947049924, + "grad_norm": 1.609375, + "learning_rate": 8.138556328246698e-05, + "loss": 4.4678, + "mean_token_accuracy": 0.23248778730630876, + "num_tokens": 18544150.0, + "step": 8395 + }, + { + "entropy": 5.2653038024902346, + "epoch": 8.467977811396873, + "grad_norm": 1.5, + "learning_rate": 8.118378849842634e-05, + "loss": 4.4361, + "mean_token_accuracy": 0.2333231285214424, + "num_tokens": 18553926.0, + "step": 8400 + }, + { + "entropy": 5.248916244506836, + "epoch": 8.473020675743822, + "grad_norm": 1.6875, + "learning_rate": 8.098261609964204e-05, + "loss": 4.4416, + "mean_token_accuracy": 0.24457066655158996, + "num_tokens": 18565059.0, + "step": 8405 + }, + { + "entropy": 5.322198677062988, + "epoch": 8.478063540090771, + "grad_norm": 1.40625, + "learning_rate": 8.078204671136245e-05, + "loss": 4.5108, + "mean_token_accuracy": 0.2332134246826172, + "num_tokens": 18575745.0, + "step": 8410 + }, + { + "entropy": 5.245360279083252, + "epoch": 8.48310640443772, + "grad_norm": 1.53125, + "learning_rate": 8.05820809569619e-05, + "loss": 4.5098, + "mean_token_accuracy": 0.23305716663599013, + "num_tokens": 18587085.0, + "step": 8415 + }, + { + "entropy": 5.293680715560913, + "epoch": 8.48814926878467, + "grad_norm": 1.671875, + "learning_rate": 8.03827194579386e-05, + "loss": 4.5137, + "mean_token_accuracy": 0.23276715725660324, + "num_tokens": 18597783.0, + "step": 8420 + }, + { + "entropy": 5.3004865646362305, + "epoch": 8.493192133131618, + "grad_norm": 1.7109375, + "learning_rate": 8.01839628339126e-05, + "loss": 4.5138, + "mean_token_accuracy": 0.2324001356959343, + "num_tokens": 18607739.0, + "step": 8425 + }, + { + "entropy": 5.242777490615845, + "epoch": 8.498234997478567, + "grad_norm": 1.484375, + "learning_rate": 7.998581170262412e-05, + "loss": 4.4228, + "mean_token_accuracy": 0.24315861314535142, + "num_tokens": 18618901.0, + "step": 8430 + }, + { + "entropy": 5.276698350906372, + "epoch": 8.503277861825516, + "grad_norm": 1.6640625, + "learning_rate": 7.978826667993141e-05, + "loss": 4.4285, + "mean_token_accuracy": 0.24131007492542267, + "num_tokens": 18629999.0, + "step": 8435 + }, + { + "entropy": 5.3042291641235355, + "epoch": 8.508320726172466, + "grad_norm": 1.453125, + "learning_rate": 7.95913283798091e-05, + "loss": 4.5231, + "mean_token_accuracy": 0.23291281163692473, + "num_tokens": 18640972.0, + "step": 8440 + }, + { + "entropy": 5.281155252456665, + "epoch": 8.513363590519415, + "grad_norm": 1.609375, + "learning_rate": 7.93949974143458e-05, + "loss": 4.5308, + "mean_token_accuracy": 0.2334082007408142, + "num_tokens": 18652089.0, + "step": 8445 + }, + { + "entropy": 5.313658142089844, + "epoch": 8.518406454866364, + "grad_norm": 1.4609375, + "learning_rate": 7.919927439374278e-05, + "loss": 4.5186, + "mean_token_accuracy": 0.2355954557657242, + "num_tokens": 18664336.0, + "step": 8450 + }, + { + "entropy": 5.342383480072021, + "epoch": 8.523449319213313, + "grad_norm": 1.6484375, + "learning_rate": 7.900415992631162e-05, + "loss": 4.5538, + "mean_token_accuracy": 0.22404027879238128, + "num_tokens": 18675871.0, + "step": 8455 + }, + { + "entropy": 5.407930755615235, + "epoch": 8.528492183560262, + "grad_norm": 1.4375, + "learning_rate": 7.880965461847261e-05, + "loss": 4.6151, + "mean_token_accuracy": 0.219925756752491, + "num_tokens": 18687705.0, + "step": 8460 + }, + { + "entropy": 5.295460653305054, + "epoch": 8.533535047907211, + "grad_norm": 1.4296875, + "learning_rate": 7.86157590747528e-05, + "loss": 4.4523, + "mean_token_accuracy": 0.236220383644104, + "num_tokens": 18698591.0, + "step": 8465 + }, + { + "entropy": 5.264258956909179, + "epoch": 8.53857791225416, + "grad_norm": 1.3984375, + "learning_rate": 7.8422473897784e-05, + "loss": 4.4208, + "mean_token_accuracy": 0.24071386009454726, + "num_tokens": 18709332.0, + "step": 8470 + }, + { + "entropy": 5.275606918334961, + "epoch": 8.54362077660111, + "grad_norm": 1.5078125, + "learning_rate": 7.822979968830089e-05, + "loss": 4.4735, + "mean_token_accuracy": 0.23402749449014665, + "num_tokens": 18719666.0, + "step": 8475 + }, + { + "entropy": 5.259400749206543, + "epoch": 8.548663640948059, + "grad_norm": 1.6015625, + "learning_rate": 7.803773704513953e-05, + "loss": 4.4646, + "mean_token_accuracy": 0.23901665210723877, + "num_tokens": 18730409.0, + "step": 8480 + }, + { + "entropy": 5.392308330535888, + "epoch": 8.553706505295008, + "grad_norm": 1.171875, + "learning_rate": 7.784628656523488e-05, + "loss": 4.6183, + "mean_token_accuracy": 0.2157907411456108, + "num_tokens": 18742813.0, + "step": 8485 + }, + { + "entropy": 5.321148681640625, + "epoch": 8.558749369641957, + "grad_norm": 1.5390625, + "learning_rate": 7.76554488436195e-05, + "loss": 4.4834, + "mean_token_accuracy": 0.2345925435423851, + "num_tokens": 18752597.0, + "step": 8490 + }, + { + "entropy": 5.328701448440552, + "epoch": 8.563792233988906, + "grad_norm": 1.5078125, + "learning_rate": 7.746522447342148e-05, + "loss": 4.5765, + "mean_token_accuracy": 0.22592092901468278, + "num_tokens": 18763689.0, + "step": 8495 + }, + { + "entropy": 5.318694591522217, + "epoch": 8.568835098335855, + "grad_norm": 1.296875, + "learning_rate": 7.727561404586255e-05, + "loss": 4.548, + "mean_token_accuracy": 0.22818632274866105, + "num_tokens": 18776040.0, + "step": 8500 + }, + { + "entropy": 5.3434923648834225, + "epoch": 8.573877962682804, + "grad_norm": 1.3203125, + "learning_rate": 7.708661815025619e-05, + "loss": 4.5638, + "mean_token_accuracy": 0.2255337953567505, + "num_tokens": 18788360.0, + "step": 8505 + }, + { + "entropy": 5.257844591140747, + "epoch": 8.578920827029753, + "grad_norm": 1.5859375, + "learning_rate": 7.689823737400617e-05, + "loss": 4.4823, + "mean_token_accuracy": 0.23594810962677001, + "num_tokens": 18798376.0, + "step": 8510 + }, + { + "entropy": 5.27258267402649, + "epoch": 8.583963691376702, + "grad_norm": 1.671875, + "learning_rate": 7.671047230260412e-05, + "loss": 4.5, + "mean_token_accuracy": 0.23658222258090972, + "num_tokens": 18808569.0, + "step": 8515 + }, + { + "entropy": 5.304236602783203, + "epoch": 8.589006555723651, + "grad_norm": 1.5546875, + "learning_rate": 7.652332351962836e-05, + "loss": 4.4643, + "mean_token_accuracy": 0.24131463915109636, + "num_tokens": 18819174.0, + "step": 8520 + }, + { + "entropy": 5.276138877868652, + "epoch": 8.5940494200706, + "grad_norm": 1.6796875, + "learning_rate": 7.633679160674144e-05, + "loss": 4.5277, + "mean_token_accuracy": 0.22473191022872924, + "num_tokens": 18829290.0, + "step": 8525 + }, + { + "entropy": 5.3269078731536865, + "epoch": 8.59909228441755, + "grad_norm": 1.3046875, + "learning_rate": 7.615087714368902e-05, + "loss": 4.5969, + "mean_token_accuracy": 0.22671930193901063, + "num_tokens": 18840955.0, + "step": 8530 + }, + { + "entropy": 5.34106297492981, + "epoch": 8.604135148764499, + "grad_norm": 1.5625, + "learning_rate": 7.59655807082975e-05, + "loss": 4.5553, + "mean_token_accuracy": 0.22253625243902206, + "num_tokens": 18852412.0, + "step": 8535 + }, + { + "entropy": 5.321465587615966, + "epoch": 8.609178013111448, + "grad_norm": 1.4140625, + "learning_rate": 7.578090287647242e-05, + "loss": 4.5033, + "mean_token_accuracy": 0.22978213280439377, + "num_tokens": 18863714.0, + "step": 8540 + }, + { + "entropy": 5.368106508255005, + "epoch": 8.614220877458397, + "grad_norm": 1.8828125, + "learning_rate": 7.559684422219683e-05, + "loss": 4.5992, + "mean_token_accuracy": 0.22771378606557846, + "num_tokens": 18873983.0, + "step": 8545 + }, + { + "entropy": 5.3533501625061035, + "epoch": 8.619263741805346, + "grad_norm": 1.4296875, + "learning_rate": 7.541340531752916e-05, + "loss": 4.5636, + "mean_token_accuracy": 0.22821784168481826, + "num_tokens": 18884642.0, + "step": 8550 + }, + { + "entropy": 5.343221282958984, + "epoch": 8.624306606152295, + "grad_norm": 1.2734375, + "learning_rate": 7.523058673260183e-05, + "loss": 4.5578, + "mean_token_accuracy": 0.24092118591070175, + "num_tokens": 18896390.0, + "step": 8555 + }, + { + "entropy": 5.324822425842285, + "epoch": 8.629349470499244, + "grad_norm": 1.53125, + "learning_rate": 7.50483890356192e-05, + "loss": 4.4797, + "mean_token_accuracy": 0.2324287012219429, + "num_tokens": 18907826.0, + "step": 8560 + }, + { + "entropy": 5.286958122253418, + "epoch": 8.634392334846194, + "grad_norm": 1.53125, + "learning_rate": 7.486681279285598e-05, + "loss": 4.488, + "mean_token_accuracy": 0.2255399540066719, + "num_tokens": 18919301.0, + "step": 8565 + }, + { + "entropy": 5.33275842666626, + "epoch": 8.63943519919314, + "grad_norm": 1.546875, + "learning_rate": 7.468585856865522e-05, + "loss": 4.5454, + "mean_token_accuracy": 0.23188870996236802, + "num_tokens": 18931420.0, + "step": 8570 + }, + { + "entropy": 5.269180011749268, + "epoch": 8.64447806354009, + "grad_norm": 1.609375, + "learning_rate": 7.45055269254269e-05, + "loss": 4.5248, + "mean_token_accuracy": 0.22961635291576385, + "num_tokens": 18941729.0, + "step": 8575 + }, + { + "entropy": 5.251134538650513, + "epoch": 8.649520927887039, + "grad_norm": 1.53125, + "learning_rate": 7.432581842364585e-05, + "loss": 4.4923, + "mean_token_accuracy": 0.23362307250499725, + "num_tokens": 18952805.0, + "step": 8580 + }, + { + "entropy": 5.2673015117645265, + "epoch": 8.654563792233988, + "grad_norm": 1.3359375, + "learning_rate": 7.414673362185031e-05, + "loss": 4.4782, + "mean_token_accuracy": 0.23471748530864717, + "num_tokens": 18964504.0, + "step": 8585 + }, + { + "entropy": 5.306528997421265, + "epoch": 8.659606656580937, + "grad_norm": 1.59375, + "learning_rate": 7.396827307663988e-05, + "loss": 4.493, + "mean_token_accuracy": 0.22945980131626129, + "num_tokens": 18975116.0, + "step": 8590 + }, + { + "entropy": 5.304362821578979, + "epoch": 8.664649520927886, + "grad_norm": 1.484375, + "learning_rate": 7.379043734267421e-05, + "loss": 4.4784, + "mean_token_accuracy": 0.23771397322416304, + "num_tokens": 18988403.0, + "step": 8595 + }, + { + "entropy": 5.275615501403808, + "epoch": 8.669692385274836, + "grad_norm": 1.3828125, + "learning_rate": 7.36132269726707e-05, + "loss": 4.4779, + "mean_token_accuracy": 0.2351328730583191, + "num_tokens": 18999419.0, + "step": 8600 + }, + { + "entropy": 5.342744779586792, + "epoch": 8.674735249621785, + "grad_norm": 1.3359375, + "learning_rate": 7.343664251740342e-05, + "loss": 4.5298, + "mean_token_accuracy": 0.23637136667966843, + "num_tokens": 19010937.0, + "step": 8605 + }, + { + "entropy": 5.324830532073975, + "epoch": 8.679778113968734, + "grad_norm": 1.484375, + "learning_rate": 7.326068452570078e-05, + "loss": 4.5634, + "mean_token_accuracy": 0.22985844016075135, + "num_tokens": 19021795.0, + "step": 8610 + }, + { + "entropy": 5.356618452072143, + "epoch": 8.684820978315683, + "grad_norm": 1.5625, + "learning_rate": 7.30853535444444e-05, + "loss": 4.5517, + "mean_token_accuracy": 0.22684661895036698, + "num_tokens": 19032113.0, + "step": 8615 + }, + { + "entropy": 5.300921773910522, + "epoch": 8.689863842662632, + "grad_norm": 1.3046875, + "learning_rate": 7.29106501185669e-05, + "loss": 4.4835, + "mean_token_accuracy": 0.2376304477453232, + "num_tokens": 19042907.0, + "step": 8620 + }, + { + "entropy": 5.30126805305481, + "epoch": 8.694906707009581, + "grad_norm": 1.4609375, + "learning_rate": 7.273657479105068e-05, + "loss": 4.4718, + "mean_token_accuracy": 0.2370639830827713, + "num_tokens": 19055121.0, + "step": 8625 + }, + { + "entropy": 5.336139726638794, + "epoch": 8.69994957135653, + "grad_norm": 1.265625, + "learning_rate": 7.256312810292576e-05, + "loss": 4.5569, + "mean_token_accuracy": 0.2303478941321373, + "num_tokens": 19066122.0, + "step": 8630 + }, + { + "entropy": 5.312874603271484, + "epoch": 8.70499243570348, + "grad_norm": 1.5703125, + "learning_rate": 7.23903105932685e-05, + "loss": 4.5027, + "mean_token_accuracy": 0.23334299325942992, + "num_tokens": 19076323.0, + "step": 8635 + }, + { + "entropy": 5.302890825271606, + "epoch": 8.710035300050428, + "grad_norm": 1.4375, + "learning_rate": 7.221812279919978e-05, + "loss": 4.5541, + "mean_token_accuracy": 0.22323421537876129, + "num_tokens": 19087388.0, + "step": 8640 + }, + { + "entropy": 5.308963584899902, + "epoch": 8.715078164397378, + "grad_norm": 1.265625, + "learning_rate": 7.20465652558831e-05, + "loss": 4.5445, + "mean_token_accuracy": 0.22574720084667205, + "num_tokens": 19099285.0, + "step": 8645 + }, + { + "entropy": 5.266109275817871, + "epoch": 8.720121028744327, + "grad_norm": 1.546875, + "learning_rate": 7.187563849652332e-05, + "loss": 4.4437, + "mean_token_accuracy": 0.23504291027784346, + "num_tokens": 19110139.0, + "step": 8650 + }, + { + "entropy": 5.248180294036866, + "epoch": 8.725163893091276, + "grad_norm": 1.4375, + "learning_rate": 7.170534305236479e-05, + "loss": 4.436, + "mean_token_accuracy": 0.2381614163517952, + "num_tokens": 19120052.0, + "step": 8655 + }, + { + "entropy": 5.266572046279907, + "epoch": 8.730206757438225, + "grad_norm": 1.5, + "learning_rate": 7.153567945268963e-05, + "loss": 4.4934, + "mean_token_accuracy": 0.23119783997535706, + "num_tokens": 19130369.0, + "step": 8660 + }, + { + "entropy": 5.306045961380005, + "epoch": 8.735249621785174, + "grad_norm": 1.421875, + "learning_rate": 7.136664822481624e-05, + "loss": 4.5032, + "mean_token_accuracy": 0.2388385772705078, + "num_tokens": 19141126.0, + "step": 8665 + }, + { + "entropy": 5.33194670677185, + "epoch": 8.740292486132123, + "grad_norm": 1.3359375, + "learning_rate": 7.119824989409761e-05, + "loss": 4.5013, + "mean_token_accuracy": 0.223948635160923, + "num_tokens": 19152747.0, + "step": 8670 + }, + { + "entropy": 5.228990936279297, + "epoch": 8.745335350479072, + "grad_norm": 1.25, + "learning_rate": 7.103048498391954e-05, + "loss": 4.4874, + "mean_token_accuracy": 0.2335174173116684, + "num_tokens": 19165872.0, + "step": 8675 + }, + { + "entropy": 5.236190223693848, + "epoch": 8.750378214826021, + "grad_norm": 1.390625, + "learning_rate": 7.086335401569935e-05, + "loss": 4.4203, + "mean_token_accuracy": 0.24982106536626816, + "num_tokens": 19178260.0, + "step": 8680 + }, + { + "entropy": 5.311789512634277, + "epoch": 8.75542107917297, + "grad_norm": 1.375, + "learning_rate": 7.06968575088838e-05, + "loss": 4.4781, + "mean_token_accuracy": 0.23260297179222106, + "num_tokens": 19190091.0, + "step": 8685 + }, + { + "entropy": 5.276892280578613, + "epoch": 8.76046394351992, + "grad_norm": 1.2890625, + "learning_rate": 7.053099598094804e-05, + "loss": 4.5307, + "mean_token_accuracy": 0.2321740746498108, + "num_tokens": 19202142.0, + "step": 8690 + }, + { + "entropy": 5.2927018165588375, + "epoch": 8.765506807866869, + "grad_norm": 1.6171875, + "learning_rate": 7.036576994739343e-05, + "loss": 4.5571, + "mean_token_accuracy": 0.23026391565799714, + "num_tokens": 19212633.0, + "step": 8695 + }, + { + "entropy": 5.284519529342651, + "epoch": 8.770549672213818, + "grad_norm": 1.53125, + "learning_rate": 7.020117992174638e-05, + "loss": 4.5028, + "mean_token_accuracy": 0.23551880270242692, + "num_tokens": 19224366.0, + "step": 8700 + }, + { + "entropy": 5.312050676345825, + "epoch": 8.775592536560767, + "grad_norm": 1.5546875, + "learning_rate": 7.003722641555635e-05, + "loss": 4.4881, + "mean_token_accuracy": 0.23672703504562378, + "num_tokens": 19234414.0, + "step": 8705 + }, + { + "entropy": 5.23953914642334, + "epoch": 8.780635400907716, + "grad_norm": 1.3671875, + "learning_rate": 6.987390993839476e-05, + "loss": 4.4646, + "mean_token_accuracy": 0.23526281714439393, + "num_tokens": 19246202.0, + "step": 8710 + }, + { + "entropy": 5.30919132232666, + "epoch": 8.785678265254665, + "grad_norm": 1.4609375, + "learning_rate": 6.971123099785281e-05, + "loss": 4.5094, + "mean_token_accuracy": 0.23306890279054643, + "num_tokens": 19257965.0, + "step": 8715 + }, + { + "entropy": 5.279756784439087, + "epoch": 8.790721129601614, + "grad_norm": 1.5, + "learning_rate": 6.954919009954061e-05, + "loss": 4.4786, + "mean_token_accuracy": 0.23693467080593109, + "num_tokens": 19267826.0, + "step": 8720 + }, + { + "entropy": 5.321855545043945, + "epoch": 8.795763993948563, + "grad_norm": 1.765625, + "learning_rate": 6.938778774708488e-05, + "loss": 4.5237, + "mean_token_accuracy": 0.23561687916517257, + "num_tokens": 19277601.0, + "step": 8725 + }, + { + "entropy": 5.391119956970215, + "epoch": 8.800806858295513, + "grad_norm": 1.3046875, + "learning_rate": 6.922702444212792e-05, + "loss": 4.6313, + "mean_token_accuracy": 0.2273115411400795, + "num_tokens": 19289298.0, + "step": 8730 + }, + { + "entropy": 5.2665105819702145, + "epoch": 8.805849722642462, + "grad_norm": 1.546875, + "learning_rate": 6.906690068432568e-05, + "loss": 4.5301, + "mean_token_accuracy": 0.2346082553267479, + "num_tokens": 19300866.0, + "step": 8735 + }, + { + "entropy": 5.27437105178833, + "epoch": 8.81089258698941, + "grad_norm": 1.421875, + "learning_rate": 6.89074169713466e-05, + "loss": 4.4645, + "mean_token_accuracy": 0.23380044400691985, + "num_tokens": 19312501.0, + "step": 8740 + }, + { + "entropy": 5.278698348999024, + "epoch": 8.815935451336358, + "grad_norm": 1.6640625, + "learning_rate": 6.87485737988697e-05, + "loss": 4.5251, + "mean_token_accuracy": 0.23017821013927459, + "num_tokens": 19323626.0, + "step": 8745 + }, + { + "entropy": 5.291895723342895, + "epoch": 8.820978315683309, + "grad_norm": 1.46875, + "learning_rate": 6.859037166058323e-05, + "loss": 4.5312, + "mean_token_accuracy": 0.23254506140947342, + "num_tokens": 19334272.0, + "step": 8750 + }, + { + "entropy": 5.2522422790527346, + "epoch": 8.826021180030256, + "grad_norm": 1.4375, + "learning_rate": 6.843281104818313e-05, + "loss": 4.4682, + "mean_token_accuracy": 0.23477549552917482, + "num_tokens": 19343930.0, + "step": 8755 + }, + { + "entropy": 5.2376776218414305, + "epoch": 8.831064044377205, + "grad_norm": 1.46875, + "learning_rate": 6.827589245137135e-05, + "loss": 4.4546, + "mean_token_accuracy": 0.24241788387298585, + "num_tokens": 19354657.0, + "step": 8760 + }, + { + "entropy": 5.286135959625244, + "epoch": 8.836106908724155, + "grad_norm": 1.484375, + "learning_rate": 6.811961635785456e-05, + "loss": 4.4952, + "mean_token_accuracy": 0.231307552754879, + "num_tokens": 19365102.0, + "step": 8765 + }, + { + "entropy": 5.25306510925293, + "epoch": 8.841149773071104, + "grad_norm": 1.5, + "learning_rate": 6.796398325334238e-05, + "loss": 4.4711, + "mean_token_accuracy": 0.24227968752384185, + "num_tokens": 19374882.0, + "step": 8770 + }, + { + "entropy": 5.284982585906983, + "epoch": 8.846192637418053, + "grad_norm": 1.6640625, + "learning_rate": 6.78089936215462e-05, + "loss": 4.4822, + "mean_token_accuracy": 0.23674449771642686, + "num_tokens": 19386072.0, + "step": 8775 + }, + { + "entropy": 5.276415538787842, + "epoch": 8.851235501765002, + "grad_norm": 1.703125, + "learning_rate": 6.765464794417723e-05, + "loss": 4.5341, + "mean_token_accuracy": 0.23272081464529037, + "num_tokens": 19396714.0, + "step": 8780 + }, + { + "entropy": 5.3086615085601805, + "epoch": 8.856278366111951, + "grad_norm": 1.375, + "learning_rate": 6.750094670094558e-05, + "loss": 4.5127, + "mean_token_accuracy": 0.23166706115007402, + "num_tokens": 19409496.0, + "step": 8785 + }, + { + "entropy": 5.295808935165406, + "epoch": 8.8613212304589, + "grad_norm": 1.53125, + "learning_rate": 6.734789036955813e-05, + "loss": 4.5161, + "mean_token_accuracy": 0.23285092413425446, + "num_tokens": 19421434.0, + "step": 8790 + }, + { + "entropy": 5.316428279876709, + "epoch": 8.86636409480585, + "grad_norm": 1.4609375, + "learning_rate": 6.719547942571755e-05, + "loss": 4.477, + "mean_token_accuracy": 0.2387639284133911, + "num_tokens": 19432382.0, + "step": 8795 + }, + { + "entropy": 5.278701257705689, + "epoch": 8.871406959152798, + "grad_norm": 1.3671875, + "learning_rate": 6.704371434312048e-05, + "loss": 4.4881, + "mean_token_accuracy": 0.22520668506622316, + "num_tokens": 19443310.0, + "step": 8800 + }, + { + "entropy": 5.289896249771118, + "epoch": 8.876449823499748, + "grad_norm": 1.5859375, + "learning_rate": 6.689259559345641e-05, + "loss": 4.4632, + "mean_token_accuracy": 0.23373768627643585, + "num_tokens": 19453687.0, + "step": 8805 + }, + { + "entropy": 5.26581654548645, + "epoch": 8.881492687846697, + "grad_norm": 1.2265625, + "learning_rate": 6.674212364640577e-05, + "loss": 4.4841, + "mean_token_accuracy": 0.233455191552639, + "num_tokens": 19465004.0, + "step": 8810 + }, + { + "entropy": 5.262102317810059, + "epoch": 8.886535552193646, + "grad_norm": 1.359375, + "learning_rate": 6.659229896963899e-05, + "loss": 4.4442, + "mean_token_accuracy": 0.23699069619178773, + "num_tokens": 19476197.0, + "step": 8815 + }, + { + "entropy": 5.319294691085815, + "epoch": 8.891578416540595, + "grad_norm": 1.1875, + "learning_rate": 6.644312202881452e-05, + "loss": 4.5454, + "mean_token_accuracy": 0.22858106046915055, + "num_tokens": 19488806.0, + "step": 8820 + }, + { + "entropy": 5.273852252960205, + "epoch": 8.896621280887544, + "grad_norm": 1.46875, + "learning_rate": 6.629459328757781e-05, + "loss": 4.4377, + "mean_token_accuracy": 0.2423676311969757, + "num_tokens": 19498988.0, + "step": 8825 + }, + { + "entropy": 5.2677360534667965, + "epoch": 8.901664145234493, + "grad_norm": 1.171875, + "learning_rate": 6.614671320755953e-05, + "loss": 4.4725, + "mean_token_accuracy": 0.2388597995042801, + "num_tokens": 19509279.0, + "step": 8830 + }, + { + "entropy": 5.27379412651062, + "epoch": 8.906707009581442, + "grad_norm": 1.4609375, + "learning_rate": 6.599948224837446e-05, + "loss": 4.4511, + "mean_token_accuracy": 0.23496011048555374, + "num_tokens": 19521412.0, + "step": 8835 + }, + { + "entropy": 5.28201847076416, + "epoch": 8.911749873928391, + "grad_norm": 1.5625, + "learning_rate": 6.585290086761972e-05, + "loss": 4.534, + "mean_token_accuracy": 0.230691097676754, + "num_tokens": 19530830.0, + "step": 8840 + }, + { + "entropy": 5.322769832611084, + "epoch": 8.91679273827534, + "grad_norm": 1.6953125, + "learning_rate": 6.570696952087368e-05, + "loss": 4.4886, + "mean_token_accuracy": 0.2326028272509575, + "num_tokens": 19541498.0, + "step": 8845 + }, + { + "entropy": 5.280263423919678, + "epoch": 8.92183560262229, + "grad_norm": 1.6015625, + "learning_rate": 6.556168866169435e-05, + "loss": 4.4695, + "mean_token_accuracy": 0.2324089825153351, + "num_tokens": 19550784.0, + "step": 8850 + }, + { + "entropy": 5.270318078994751, + "epoch": 8.926878466969239, + "grad_norm": 1.671875, + "learning_rate": 6.541705874161795e-05, + "loss": 4.4985, + "mean_token_accuracy": 0.23369582742452621, + "num_tokens": 19562327.0, + "step": 8855 + }, + { + "entropy": 5.268936824798584, + "epoch": 8.931921331316188, + "grad_norm": 1.4765625, + "learning_rate": 6.527308021015771e-05, + "loss": 4.4777, + "mean_token_accuracy": 0.23268494457006456, + "num_tokens": 19572771.0, + "step": 8860 + }, + { + "entropy": 5.323892831802368, + "epoch": 8.936964195663137, + "grad_norm": 1.265625, + "learning_rate": 6.512975351480207e-05, + "loss": 4.5529, + "mean_token_accuracy": 0.22748622298240662, + "num_tokens": 19584758.0, + "step": 8865 + }, + { + "entropy": 5.305479860305786, + "epoch": 8.942007060010086, + "grad_norm": 1.359375, + "learning_rate": 6.498707910101383e-05, + "loss": 4.5148, + "mean_token_accuracy": 0.2247389867901802, + "num_tokens": 19596084.0, + "step": 8870 + }, + { + "entropy": 5.30368332862854, + "epoch": 8.947049924357035, + "grad_norm": 1.53125, + "learning_rate": 6.484505741222824e-05, + "loss": 4.5249, + "mean_token_accuracy": 0.23288704752922057, + "num_tokens": 19607639.0, + "step": 8875 + }, + { + "entropy": 5.264232444763183, + "epoch": 8.952092788703984, + "grad_norm": 1.4375, + "learning_rate": 6.470368888985215e-05, + "loss": 4.5503, + "mean_token_accuracy": 0.22826409637928008, + "num_tokens": 19619518.0, + "step": 8880 + }, + { + "entropy": 5.299907207489014, + "epoch": 8.957135653050933, + "grad_norm": 1.4453125, + "learning_rate": 6.456297397326202e-05, + "loss": 4.4725, + "mean_token_accuracy": 0.2371431216597557, + "num_tokens": 19631296.0, + "step": 8885 + }, + { + "entropy": 5.274386548995972, + "epoch": 8.962178517397883, + "grad_norm": 1.4453125, + "learning_rate": 6.442291309980321e-05, + "loss": 4.4543, + "mean_token_accuracy": 0.2374836891889572, + "num_tokens": 19642802.0, + "step": 8890 + }, + { + "entropy": 5.321165323257446, + "epoch": 8.967221381744832, + "grad_norm": 1.46875, + "learning_rate": 6.4283506704788e-05, + "loss": 4.5282, + "mean_token_accuracy": 0.2309867709875107, + "num_tokens": 19654375.0, + "step": 8895 + }, + { + "entropy": 5.292215585708618, + "epoch": 8.97226424609178, + "grad_norm": 1.390625, + "learning_rate": 6.414475522149481e-05, + "loss": 4.5464, + "mean_token_accuracy": 0.22744086086750032, + "num_tokens": 19665772.0, + "step": 8900 + }, + { + "entropy": 5.357444620132446, + "epoch": 8.97730711043873, + "grad_norm": 1.6640625, + "learning_rate": 6.400665908116631e-05, + "loss": 4.5486, + "mean_token_accuracy": 0.2240617409348488, + "num_tokens": 19676278.0, + "step": 8905 + }, + { + "entropy": 5.3140871047973635, + "epoch": 8.982349974785679, + "grad_norm": 1.671875, + "learning_rate": 6.386921871300865e-05, + "loss": 4.5301, + "mean_token_accuracy": 0.2354864463210106, + "num_tokens": 19687524.0, + "step": 8910 + }, + { + "entropy": 5.334360027313233, + "epoch": 8.987392839132628, + "grad_norm": 1.5078125, + "learning_rate": 6.373243454418952e-05, + "loss": 4.4829, + "mean_token_accuracy": 0.23793790191411973, + "num_tokens": 19697754.0, + "step": 8915 + }, + { + "entropy": 5.331462478637695, + "epoch": 8.992435703479577, + "grad_norm": 1.5546875, + "learning_rate": 6.35963069998374e-05, + "loss": 4.4614, + "mean_token_accuracy": 0.24734795242547988, + "num_tokens": 19708910.0, + "step": 8920 + }, + { + "entropy": 5.297937870025635, + "epoch": 8.997478567826526, + "grad_norm": 1.421875, + "learning_rate": 6.346083650303975e-05, + "loss": 4.5305, + "mean_token_accuracy": 0.23495040982961654, + "num_tokens": 19719639.0, + "step": 8925 + }, + { + "entropy": 5.293973498874241, + "epoch": 9.00201714573878, + "grad_norm": 1.6015625, + "learning_rate": 6.332602347484202e-05, + "loss": 4.4392, + "mean_token_accuracy": 0.2372900512483385, + "num_tokens": 19728278.0, + "step": 8930 + }, + { + "entropy": 5.371674346923828, + "epoch": 9.007060010085729, + "grad_norm": 1.546875, + "learning_rate": 6.31918683342462e-05, + "loss": 4.565, + "mean_token_accuracy": 0.2297941565513611, + "num_tokens": 19739020.0, + "step": 8935 + }, + { + "entropy": 5.252942037582398, + "epoch": 9.012102874432678, + "grad_norm": 1.453125, + "learning_rate": 6.305837149820959e-05, + "loss": 4.4237, + "mean_token_accuracy": 0.24154184460639955, + "num_tokens": 19749445.0, + "step": 8940 + }, + { + "entropy": 5.256105232238769, + "epoch": 9.017145738779627, + "grad_norm": 1.59375, + "learning_rate": 6.29255333816434e-05, + "loss": 4.4357, + "mean_token_accuracy": 0.23935188949108124, + "num_tokens": 19760149.0, + "step": 8945 + }, + { + "entropy": 5.248445796966553, + "epoch": 9.022188603126576, + "grad_norm": 1.3984375, + "learning_rate": 6.279335439741164e-05, + "loss": 4.4382, + "mean_token_accuracy": 0.2314244031906128, + "num_tokens": 19771195.0, + "step": 8950 + }, + { + "entropy": 5.233526420593262, + "epoch": 9.027231467473525, + "grad_norm": 1.359375, + "learning_rate": 6.266183495632954e-05, + "loss": 4.407, + "mean_token_accuracy": 0.239119254052639, + "num_tokens": 19782823.0, + "step": 8955 + }, + { + "entropy": 5.2257493019104, + "epoch": 9.032274331820474, + "grad_norm": 1.4609375, + "learning_rate": 6.253097546716264e-05, + "loss": 4.3345, + "mean_token_accuracy": 0.2473153978586197, + "num_tokens": 19792901.0, + "step": 8960 + }, + { + "entropy": 5.294008398056031, + "epoch": 9.037317196167423, + "grad_norm": 1.3984375, + "learning_rate": 6.240077633662519e-05, + "loss": 4.5365, + "mean_token_accuracy": 0.23245623260736464, + "num_tokens": 19804654.0, + "step": 8965 + }, + { + "entropy": 5.256196594238281, + "epoch": 9.042360060514373, + "grad_norm": 1.4609375, + "learning_rate": 6.227123796937905e-05, + "loss": 4.4329, + "mean_token_accuracy": 0.23810820728540422, + "num_tokens": 19815105.0, + "step": 8970 + }, + { + "entropy": 5.286877059936524, + "epoch": 9.047402924861322, + "grad_norm": 1.6875, + "learning_rate": 6.214236076803264e-05, + "loss": 4.4497, + "mean_token_accuracy": 0.23858692497015, + "num_tokens": 19825667.0, + "step": 8975 + }, + { + "entropy": 5.38561224937439, + "epoch": 9.05244578920827, + "grad_norm": 1.28125, + "learning_rate": 6.201414513313907e-05, + "loss": 4.5409, + "mean_token_accuracy": 0.22601606994867324, + "num_tokens": 19837666.0, + "step": 8980 + }, + { + "entropy": 5.255772256851197, + "epoch": 9.05748865355522, + "grad_norm": 1.2109375, + "learning_rate": 6.188659146319562e-05, + "loss": 4.449, + "mean_token_accuracy": 0.2350140705704689, + "num_tokens": 19850214.0, + "step": 8985 + }, + { + "entropy": 5.331609535217285, + "epoch": 9.062531517902169, + "grad_norm": 1.3984375, + "learning_rate": 6.175970015464196e-05, + "loss": 4.5009, + "mean_token_accuracy": 0.23777409493923188, + "num_tokens": 19861031.0, + "step": 8990 + }, + { + "entropy": 5.309781122207641, + "epoch": 9.067574382249118, + "grad_norm": 1.375, + "learning_rate": 6.163347160185929e-05, + "loss": 4.523, + "mean_token_accuracy": 0.22513694167137147, + "num_tokens": 19872837.0, + "step": 8995 + }, + { + "entropy": 5.274234580993652, + "epoch": 9.072617246596067, + "grad_norm": 1.40625, + "learning_rate": 6.150790619716873e-05, + "loss": 4.4804, + "mean_token_accuracy": 0.24050371646881102, + "num_tokens": 19884444.0, + "step": 9000 + }, + { + "epoch": 9.072617246596067, + "eval_entropy": 5.178161744853012, + "eval_loss": 5.673004150390625, + "eval_mean_token_accuracy": 0.15679914166833306, + "eval_num_tokens": 19884444.0, + "eval_runtime": 2.0289, + "eval_samples_per_second": 1546.644, + "eval_steps_per_second": 193.7, + "step": 9000 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4926142953308160.0, + "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..23a8249 --- /dev/null +++ b/checkpoint-9000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 diff --git a/checkpoint-9910/added_tokens.json b/checkpoint-9910/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9910/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-9910/config.json b/checkpoint-9910/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9910/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-9910/generation_config.json b/checkpoint-9910/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9910/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9910/model.safetensors b/checkpoint-9910/model.safetensors new file mode 100644 index 0000000..8f471ee --- /dev/null +++ b/checkpoint-9910/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:963bb2a759e63db283066ce72d09babae13b3c74fd0bc05116a44ec839bb6b24 +size 78179408 diff --git a/checkpoint-9910/rng_state.pth b/checkpoint-9910/rng_state.pth new file mode 100644 index 0000000..f92dd7d --- /dev/null +++ b/checkpoint-9910/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fdc5c6fc46377e1bdf80df0754507d75f72f019cfc385468ffdbb6b14e8dcd12 +size 14709 diff --git a/checkpoint-9910/special_tokens_map.json b/checkpoint-9910/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9910/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-9910/spiece.model b/checkpoint-9910/spiece.model new file mode 100644 index 0000000..8514a89 --- /dev/null +++ b/checkpoint-9910/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 diff --git a/checkpoint-9910/tokenizer_config.json b/checkpoint-9910/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9910/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-9910/trainer_state.json b/checkpoint-9910/trainer_state.json new file mode 100644 index 0000000..6c09e73 --- /dev/null +++ b/checkpoint-9910/trainer_state.json @@ -0,0 +1,19953 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.990418557740798, + "eval_steps": 1000, + "global_step": 9910, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.432322406768799, + "epoch": 0.005042864346949067, + "grad_norm": 1.09375, + "learning_rate": 2e-06, + "loss": 6.8944, + "mean_token_accuracy": 0.08793810680508614, + "num_tokens": 10258.0, + "step": 5 + }, + { + "entropy": 7.435951519012451, + "epoch": 0.010085728693898134, + "grad_norm": 0.93359375, + "learning_rate": 4.5e-06, + "loss": 6.8302, + "mean_token_accuracy": 0.08808585703372955, + "num_tokens": 21166.0, + "step": 10 + }, + { + "entropy": 7.430681848526001, + "epoch": 0.015128593040847202, + "grad_norm": 1.0703125, + "learning_rate": 7e-06, + "loss": 6.9437, + "mean_token_accuracy": 0.08197088204324246, + "num_tokens": 31390.0, + "step": 15 + }, + { + "entropy": 7.407356119155883, + "epoch": 0.020171457387796268, + "grad_norm": 1.015625, + "learning_rate": 9.5e-06, + "loss": 6.7616, + "mean_token_accuracy": 0.09650376290082932, + "num_tokens": 40983.0, + "step": 20 + }, + { + "entropy": 7.418797492980957, + "epoch": 0.025214321734745335, + "grad_norm": 0.96875, + "learning_rate": 1.2e-05, + "loss": 6.9135, + "mean_token_accuracy": 0.09085965603590011, + "num_tokens": 52673.0, + "step": 25 + }, + { + "entropy": 7.349091672897339, + "epoch": 0.030257186081694403, + "grad_norm": 0.85546875, + "learning_rate": 1.4500000000000002e-05, + "loss": 6.8145, + "mean_token_accuracy": 0.08841377198696136, + "num_tokens": 64956.0, + "step": 30 + }, + { + "entropy": 7.354793548583984, + "epoch": 0.03530005042864347, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 6.8421, + "mean_token_accuracy": 0.08988854065537452, + "num_tokens": 76492.0, + "step": 35 + }, + { + "entropy": 7.330742835998535, + "epoch": 0.040342914775592535, + "grad_norm": 0.93359375, + "learning_rate": 1.95e-05, + "loss": 6.8362, + "mean_token_accuracy": 0.08618292436003686, + "num_tokens": 89191.0, + "step": 40 + }, + { + "entropy": 7.338322544097901, + "epoch": 0.0453857791225416, + "grad_norm": 0.94921875, + "learning_rate": 2.2e-05, + "loss": 6.8356, + "mean_token_accuracy": 0.09781758561730385, + "num_tokens": 100077.0, + "step": 45 + }, + { + "entropy": 7.363365173339844, + "epoch": 0.05042864346949067, + "grad_norm": 1.0546875, + "learning_rate": 2.4500000000000003e-05, + "loss": 6.9068, + "mean_token_accuracy": 0.08456681296229362, + "num_tokens": 110530.0, + "step": 50 + }, + { + "entropy": 7.334746885299682, + "epoch": 0.05547150781643974, + "grad_norm": 1.0234375, + "learning_rate": 2.7e-05, + "loss": 6.8925, + "mean_token_accuracy": 0.08198079392313957, + "num_tokens": 121113.0, + "step": 55 + }, + { + "entropy": 7.350234079360962, + "epoch": 0.060514372163388806, + "grad_norm": 0.94140625, + "learning_rate": 2.95e-05, + "loss": 7.055, + "mean_token_accuracy": 0.08448217362165451, + "num_tokens": 133912.0, + "step": 60 + }, + { + "entropy": 7.348407411575318, + "epoch": 0.06555723651033787, + "grad_norm": 1.0625, + "learning_rate": 3.2e-05, + "loss": 6.9755, + "mean_token_accuracy": 0.08814884722232819, + "num_tokens": 145322.0, + "step": 65 + }, + { + "entropy": 7.38183012008667, + "epoch": 0.07060010085728693, + "grad_norm": 0.953125, + "learning_rate": 3.4500000000000005e-05, + "loss": 6.8601, + "mean_token_accuracy": 0.08610649928450584, + "num_tokens": 156252.0, + "step": 70 + }, + { + "entropy": 7.35923204421997, + "epoch": 0.07564296520423601, + "grad_norm": 1.0234375, + "learning_rate": 3.7e-05, + "loss": 6.8284, + "mean_token_accuracy": 0.09050894230604171, + "num_tokens": 166622.0, + "step": 75 + }, + { + "entropy": 7.273055934906006, + "epoch": 0.08068582955118507, + "grad_norm": 0.88671875, + "learning_rate": 3.95e-05, + "loss": 6.6887, + "mean_token_accuracy": 0.0989742748439312, + "num_tokens": 177591.0, + "step": 80 + }, + { + "entropy": 7.254341888427734, + "epoch": 0.08572869389813415, + "grad_norm": 0.9140625, + "learning_rate": 4.2000000000000004e-05, + "loss": 6.7421, + "mean_token_accuracy": 0.09370373338460922, + "num_tokens": 187764.0, + "step": 85 + }, + { + "entropy": 7.251728105545044, + "epoch": 0.0907715582450832, + "grad_norm": 1.0, + "learning_rate": 4.45e-05, + "loss": 6.7251, + "mean_token_accuracy": 0.09580637812614441, + "num_tokens": 197810.0, + "step": 90 + }, + { + "entropy": 7.275364923477173, + "epoch": 0.09581442259203228, + "grad_norm": 1.015625, + "learning_rate": 4.7000000000000004e-05, + "loss": 6.8163, + "mean_token_accuracy": 0.0883400447666645, + "num_tokens": 208552.0, + "step": 95 + }, + { + "entropy": 7.275786542892456, + "epoch": 0.10085728693898134, + "grad_norm": 0.765625, + "learning_rate": 4.9500000000000004e-05, + "loss": 6.826, + "mean_token_accuracy": 0.0916892133653164, + "num_tokens": 221628.0, + "step": 100 + }, + { + "entropy": 7.29000997543335, + "epoch": 0.1059001512859304, + "grad_norm": 0.9453125, + "learning_rate": 5.2e-05, + "loss": 6.7912, + "mean_token_accuracy": 0.09033632948994637, + "num_tokens": 231033.0, + "step": 105 + }, + { + "entropy": 7.300166130065918, + "epoch": 0.11094301563287948, + "grad_norm": 1.03125, + "learning_rate": 5.45e-05, + "loss": 6.8315, + "mean_token_accuracy": 0.08547956682741642, + "num_tokens": 242259.0, + "step": 110 + }, + { + "entropy": 7.323574876785278, + "epoch": 0.11598587997982854, + "grad_norm": 0.87109375, + "learning_rate": 5.7e-05, + "loss": 6.8614, + "mean_token_accuracy": 0.08920874819159508, + "num_tokens": 254116.0, + "step": 115 + }, + { + "entropy": 7.342547845840454, + "epoch": 0.12102874432677761, + "grad_norm": 0.92578125, + "learning_rate": 5.9499999999999996e-05, + "loss": 6.8024, + "mean_token_accuracy": 0.09266475886106491, + "num_tokens": 264518.0, + "step": 120 + }, + { + "entropy": 7.254070568084717, + "epoch": 0.1260716086737267, + "grad_norm": 1.0625, + "learning_rate": 6.2e-05, + "loss": 6.6783, + "mean_token_accuracy": 0.09979371726512909, + "num_tokens": 273783.0, + "step": 125 + }, + { + "entropy": 7.216696405410767, + "epoch": 0.13111447302067575, + "grad_norm": 0.85546875, + "learning_rate": 6.450000000000001e-05, + "loss": 6.8518, + "mean_token_accuracy": 0.09130219370126724, + "num_tokens": 284568.0, + "step": 130 + }, + { + "entropy": 7.356634569168091, + "epoch": 0.1361573373676248, + "grad_norm": 0.921875, + "learning_rate": 6.7e-05, + "loss": 6.8489, + "mean_token_accuracy": 0.08760668933391572, + "num_tokens": 296499.0, + "step": 135 + }, + { + "entropy": 7.341347980499267, + "epoch": 0.14120020171457387, + "grad_norm": 0.94921875, + "learning_rate": 6.950000000000001e-05, + "loss": 6.7447, + "mean_token_accuracy": 0.09345789924263954, + "num_tokens": 307013.0, + "step": 140 + }, + { + "entropy": 7.212394428253174, + "epoch": 0.14624306606152296, + "grad_norm": 0.859375, + "learning_rate": 7.2e-05, + "loss": 6.8123, + "mean_token_accuracy": 0.08974087685346603, + "num_tokens": 318604.0, + "step": 145 + }, + { + "entropy": 7.267185878753662, + "epoch": 0.15128593040847202, + "grad_norm": 0.9453125, + "learning_rate": 7.45e-05, + "loss": 6.757, + "mean_token_accuracy": 0.08906264528632164, + "num_tokens": 328968.0, + "step": 150 + }, + { + "entropy": 7.338633060455322, + "epoch": 0.15632879475542108, + "grad_norm": 1.03125, + "learning_rate": 7.7e-05, + "loss": 6.7681, + "mean_token_accuracy": 0.09419665113091469, + "num_tokens": 338950.0, + "step": 155 + }, + { + "entropy": 7.276337623596191, + "epoch": 0.16137165910237014, + "grad_norm": 0.93359375, + "learning_rate": 7.950000000000001e-05, + "loss": 6.8953, + "mean_token_accuracy": 0.09276964589953422, + "num_tokens": 350667.0, + "step": 160 + }, + { + "entropy": 7.386541271209717, + "epoch": 0.1664145234493192, + "grad_norm": 1.1171875, + "learning_rate": 8.2e-05, + "loss": 6.9239, + "mean_token_accuracy": 0.09228215366601944, + "num_tokens": 361781.0, + "step": 165 + }, + { + "entropy": 7.312812662124633, + "epoch": 0.1714573877962683, + "grad_norm": 0.90234375, + "learning_rate": 8.450000000000001e-05, + "loss": 6.8138, + "mean_token_accuracy": 0.09285491853952407, + "num_tokens": 373410.0, + "step": 170 + }, + { + "entropy": 7.218026733398437, + "epoch": 0.17650025214321735, + "grad_norm": 0.9453125, + "learning_rate": 8.7e-05, + "loss": 6.7653, + "mean_token_accuracy": 0.09918249770998955, + "num_tokens": 385302.0, + "step": 175 + }, + { + "entropy": 7.297417688369751, + "epoch": 0.1815431164901664, + "grad_norm": 1.0859375, + "learning_rate": 8.95e-05, + "loss": 6.7624, + "mean_token_accuracy": 0.09598183333873749, + "num_tokens": 395183.0, + "step": 180 + }, + { + "entropy": 7.290459728240966, + "epoch": 0.18658598083711547, + "grad_norm": 0.9375, + "learning_rate": 9.2e-05, + "loss": 6.758, + "mean_token_accuracy": 0.09613369405269623, + "num_tokens": 405356.0, + "step": 185 + }, + { + "entropy": 7.29151873588562, + "epoch": 0.19162884518406456, + "grad_norm": 1.03125, + "learning_rate": 9.45e-05, + "loss": 6.7434, + "mean_token_accuracy": 0.09359151124954224, + "num_tokens": 415864.0, + "step": 190 + }, + { + "entropy": 7.1764427661895756, + "epoch": 0.19667170953101362, + "grad_norm": 0.9609375, + "learning_rate": 9.7e-05, + "loss": 6.6799, + "mean_token_accuracy": 0.0958583302795887, + "num_tokens": 426225.0, + "step": 195 + }, + { + "entropy": 7.251503944396973, + "epoch": 0.20171457387796268, + "grad_norm": 1.0, + "learning_rate": 9.95e-05, + "loss": 6.8068, + "mean_token_accuracy": 0.09116024672985076, + "num_tokens": 436847.0, + "step": 200 + }, + { + "entropy": 7.271901845932007, + "epoch": 0.20675743822491174, + "grad_norm": 0.8515625, + "learning_rate": 0.000102, + "loss": 6.7809, + "mean_token_accuracy": 0.09316601976752281, + "num_tokens": 448807.0, + "step": 205 + }, + { + "entropy": 7.312121725082397, + "epoch": 0.2118003025718608, + "grad_norm": 1.0390625, + "learning_rate": 0.00010449999999999999, + "loss": 6.7572, + "mean_token_accuracy": 0.09582966193556786, + "num_tokens": 459691.0, + "step": 210 + }, + { + "entropy": 7.235625171661377, + "epoch": 0.2168431669188099, + "grad_norm": 0.90625, + "learning_rate": 0.000107, + "loss": 6.7575, + "mean_token_accuracy": 0.08772426173090934, + "num_tokens": 470097.0, + "step": 215 + }, + { + "entropy": 7.220300769805908, + "epoch": 0.22188603126575895, + "grad_norm": 0.97265625, + "learning_rate": 0.0001095, + "loss": 6.6645, + "mean_token_accuracy": 0.0966582477092743, + "num_tokens": 482006.0, + "step": 220 + }, + { + "entropy": 7.262398672103882, + "epoch": 0.22692889561270801, + "grad_norm": 0.94140625, + "learning_rate": 0.000112, + "loss": 6.8118, + "mean_token_accuracy": 0.09521539956331253, + "num_tokens": 493134.0, + "step": 225 + }, + { + "entropy": 7.295605850219727, + "epoch": 0.23197175995965708, + "grad_norm": 1.0, + "learning_rate": 0.0001145, + "loss": 6.743, + "mean_token_accuracy": 0.0946677066385746, + "num_tokens": 504801.0, + "step": 230 + }, + { + "entropy": 7.281533098220825, + "epoch": 0.23701462430660616, + "grad_norm": 1.015625, + "learning_rate": 0.00011700000000000001, + "loss": 6.8161, + "mean_token_accuracy": 0.09522581920027733, + "num_tokens": 517523.0, + "step": 235 + }, + { + "entropy": 7.199113416671753, + "epoch": 0.24205748865355523, + "grad_norm": 1.0625, + "learning_rate": 0.00011949999999999999, + "loss": 6.7182, + "mean_token_accuracy": 0.09818312823772431, + "num_tokens": 528267.0, + "step": 240 + }, + { + "entropy": 7.226230573654175, + "epoch": 0.24710035300050429, + "grad_norm": 1.03125, + "learning_rate": 0.000122, + "loss": 6.7107, + "mean_token_accuracy": 0.09675659462809563, + "num_tokens": 538750.0, + "step": 245 + }, + { + "entropy": 7.268562889099121, + "epoch": 0.2521432173474534, + "grad_norm": 1.0546875, + "learning_rate": 0.0001245, + "loss": 6.7346, + "mean_token_accuracy": 0.097308711707592, + "num_tokens": 549380.0, + "step": 250 + }, + { + "entropy": 7.262276458740234, + "epoch": 0.25718608169440244, + "grad_norm": 0.99609375, + "learning_rate": 0.000127, + "loss": 6.7255, + "mean_token_accuracy": 0.09805365800857543, + "num_tokens": 559643.0, + "step": 255 + }, + { + "entropy": 7.235341882705688, + "epoch": 0.2622289460413515, + "grad_norm": 1.0234375, + "learning_rate": 0.0001295, + "loss": 6.7632, + "mean_token_accuracy": 0.09189907684922219, + "num_tokens": 571250.0, + "step": 260 + }, + { + "entropy": 7.196493816375733, + "epoch": 0.26727181038830056, + "grad_norm": 1.0703125, + "learning_rate": 0.000132, + "loss": 6.7442, + "mean_token_accuracy": 0.10515325963497162, + "num_tokens": 582406.0, + "step": 265 + }, + { + "entropy": 7.352744102478027, + "epoch": 0.2723146747352496, + "grad_norm": 1.015625, + "learning_rate": 0.00013450000000000002, + "loss": 6.8521, + "mean_token_accuracy": 0.09412558823823929, + "num_tokens": 593115.0, + "step": 270 + }, + { + "entropy": 7.18369722366333, + "epoch": 0.2773575390821987, + "grad_norm": 1.03125, + "learning_rate": 0.00013700000000000002, + "loss": 6.7276, + "mean_token_accuracy": 0.09833462312817573, + "num_tokens": 603938.0, + "step": 275 + }, + { + "entropy": 7.247702264785767, + "epoch": 0.28240040342914774, + "grad_norm": 1.2421875, + "learning_rate": 0.0001395, + "loss": 6.771, + "mean_token_accuracy": 0.09771163985133172, + "num_tokens": 614067.0, + "step": 280 + }, + { + "entropy": 7.243542671203613, + "epoch": 0.2874432677760968, + "grad_norm": 0.99609375, + "learning_rate": 0.00014199999999999998, + "loss": 6.7654, + "mean_token_accuracy": 0.09758238643407821, + "num_tokens": 626271.0, + "step": 285 + }, + { + "entropy": 7.291503524780273, + "epoch": 0.2924861321230459, + "grad_norm": 1.1640625, + "learning_rate": 0.0001445, + "loss": 6.7423, + "mean_token_accuracy": 0.09706803634762765, + "num_tokens": 636580.0, + "step": 290 + }, + { + "entropy": 7.140781545639038, + "epoch": 0.297528996469995, + "grad_norm": 1.1953125, + "learning_rate": 0.000147, + "loss": 6.6248, + "mean_token_accuracy": 0.1026174359023571, + "num_tokens": 648202.0, + "step": 295 + }, + { + "entropy": 7.259130382537842, + "epoch": 0.30257186081694404, + "grad_norm": 1.078125, + "learning_rate": 0.0001495, + "loss": 6.7082, + "mean_token_accuracy": 0.09900272190570832, + "num_tokens": 659274.0, + "step": 300 + }, + { + "entropy": 7.239129590988159, + "epoch": 0.3076147251638931, + "grad_norm": 1.2421875, + "learning_rate": 0.000152, + "loss": 6.7624, + "mean_token_accuracy": 0.09335382506251336, + "num_tokens": 670782.0, + "step": 305 + }, + { + "entropy": 7.163164758682251, + "epoch": 0.31265758951084216, + "grad_norm": 1.046875, + "learning_rate": 0.00015450000000000001, + "loss": 6.6747, + "mean_token_accuracy": 0.09428300261497498, + "num_tokens": 681392.0, + "step": 310 + }, + { + "entropy": 7.21016297340393, + "epoch": 0.3177004538577912, + "grad_norm": 1.0234375, + "learning_rate": 0.000157, + "loss": 6.7037, + "mean_token_accuracy": 0.10150701180100441, + "num_tokens": 692779.0, + "step": 315 + }, + { + "entropy": 7.229485654830933, + "epoch": 0.3227433182047403, + "grad_norm": 1.171875, + "learning_rate": 0.0001595, + "loss": 6.7269, + "mean_token_accuracy": 0.10247877538204193, + "num_tokens": 702200.0, + "step": 320 + }, + { + "entropy": 7.1149742126464846, + "epoch": 0.32778618255168934, + "grad_norm": 0.94140625, + "learning_rate": 0.000162, + "loss": 6.7218, + "mean_token_accuracy": 0.09391158893704414, + "num_tokens": 714817.0, + "step": 325 + }, + { + "entropy": 7.174094009399414, + "epoch": 0.3328290468986384, + "grad_norm": 1.046875, + "learning_rate": 0.00016450000000000001, + "loss": 6.6052, + "mean_token_accuracy": 0.0979647196829319, + "num_tokens": 725555.0, + "step": 330 + }, + { + "entropy": 7.13692626953125, + "epoch": 0.3378719112455875, + "grad_norm": 1.03125, + "learning_rate": 0.00016700000000000002, + "loss": 6.6195, + "mean_token_accuracy": 0.09633892104029655, + "num_tokens": 737372.0, + "step": 335 + }, + { + "entropy": 7.185083723068237, + "epoch": 0.3429147755925366, + "grad_norm": 1.0234375, + "learning_rate": 0.00016950000000000003, + "loss": 6.6887, + "mean_token_accuracy": 0.09809593409299851, + "num_tokens": 748515.0, + "step": 340 + }, + { + "entropy": 7.191352319717407, + "epoch": 0.34795763993948564, + "grad_norm": 1.03125, + "learning_rate": 0.00017199999999999998, + "loss": 6.7335, + "mean_token_accuracy": 0.09944713562726974, + "num_tokens": 760586.0, + "step": 345 + }, + { + "entropy": 7.127374887466431, + "epoch": 0.3530005042864347, + "grad_norm": 1.015625, + "learning_rate": 0.00017449999999999999, + "loss": 6.6665, + "mean_token_accuracy": 0.09854965955018997, + "num_tokens": 772228.0, + "step": 350 + }, + { + "entropy": 7.2189923286437985, + "epoch": 0.35804336863338376, + "grad_norm": 1.0546875, + "learning_rate": 0.000177, + "loss": 6.7453, + "mean_token_accuracy": 0.0974178895354271, + "num_tokens": 784035.0, + "step": 355 + }, + { + "entropy": 7.065363168716431, + "epoch": 0.3630862329803328, + "grad_norm": 1.125, + "learning_rate": 0.0001795, + "loss": 6.6418, + "mean_token_accuracy": 0.10008223056793213, + "num_tokens": 794383.0, + "step": 360 + }, + { + "entropy": 7.085238981246948, + "epoch": 0.3681290973272819, + "grad_norm": 1.1171875, + "learning_rate": 0.000182, + "loss": 6.5745, + "mean_token_accuracy": 0.10618990287184715, + "num_tokens": 805192.0, + "step": 365 + }, + { + "entropy": 7.1900914192199705, + "epoch": 0.37317196167423095, + "grad_norm": 0.98046875, + "learning_rate": 0.0001845, + "loss": 6.7213, + "mean_token_accuracy": 0.10011058002710342, + "num_tokens": 816794.0, + "step": 370 + }, + { + "entropy": 7.214580726623535, + "epoch": 0.37821482602118, + "grad_norm": 0.89453125, + "learning_rate": 0.000187, + "loss": 6.7313, + "mean_token_accuracy": 0.09720972329378127, + "num_tokens": 827505.0, + "step": 375 + }, + { + "entropy": 7.1219089984893795, + "epoch": 0.3832576903681291, + "grad_norm": 1.1796875, + "learning_rate": 0.0001895, + "loss": 6.5946, + "mean_token_accuracy": 0.10458309799432755, + "num_tokens": 837462.0, + "step": 380 + }, + { + "entropy": 7.100887250900269, + "epoch": 0.3883005547150782, + "grad_norm": 1.015625, + "learning_rate": 0.000192, + "loss": 6.552, + "mean_token_accuracy": 0.10412034988403321, + "num_tokens": 848309.0, + "step": 385 + }, + { + "entropy": 7.13932957649231, + "epoch": 0.39334341906202724, + "grad_norm": 0.9765625, + "learning_rate": 0.0001945, + "loss": 6.7236, + "mean_token_accuracy": 0.09661326780915261, + "num_tokens": 859474.0, + "step": 390 + }, + { + "entropy": 7.078795003890991, + "epoch": 0.3983862834089763, + "grad_norm": 1.0859375, + "learning_rate": 0.00019700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10084822699427605, + "num_tokens": 871638.0, + "step": 395 + }, + { + "entropy": 7.1444016456604, + "epoch": 0.40342914775592537, + "grad_norm": 1.109375, + "learning_rate": 0.00019950000000000002, + "loss": 6.6305, + "mean_token_accuracy": 0.10135297477245331, + "num_tokens": 882480.0, + "step": 400 + }, + { + "entropy": 7.110705089569092, + "epoch": 0.4084720121028744, + "grad_norm": 1.1796875, + "learning_rate": 0.000202, + "loss": 6.6247, + "mean_token_accuracy": 0.10225840136408806, + "num_tokens": 893366.0, + "step": 405 + }, + { + "entropy": 7.121734523773194, + "epoch": 0.4135148764498235, + "grad_norm": 1.21875, + "learning_rate": 0.00020449999999999998, + "loss": 6.5849, + "mean_token_accuracy": 0.1083330750465393, + "num_tokens": 904678.0, + "step": 410 + }, + { + "entropy": 7.0099626064300535, + "epoch": 0.41855774079677255, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 6.5967, + "mean_token_accuracy": 0.1049334615468979, + "num_tokens": 915756.0, + "step": 415 + }, + { + "entropy": 7.100469732284546, + "epoch": 0.4236006051437216, + "grad_norm": 1.0859375, + "learning_rate": 0.0002095, + "loss": 6.581, + "mean_token_accuracy": 0.09910632744431495, + "num_tokens": 926204.0, + "step": 420 + }, + { + "entropy": 7.060488557815551, + "epoch": 0.4286434694906707, + "grad_norm": 1.3125, + "learning_rate": 0.000212, + "loss": 6.6065, + "mean_token_accuracy": 0.10566477999091148, + "num_tokens": 936894.0, + "step": 425 + }, + { + "entropy": 7.137387037277222, + "epoch": 0.4336863338376198, + "grad_norm": 1.03125, + "learning_rate": 0.0002145, + "loss": 6.6479, + "mean_token_accuracy": 0.10312608256936073, + "num_tokens": 948987.0, + "step": 430 + }, + { + "entropy": 7.084998321533203, + "epoch": 0.43872919818456885, + "grad_norm": 1.0703125, + "learning_rate": 0.00021700000000000002, + "loss": 6.6537, + "mean_token_accuracy": 0.1018140584230423, + "num_tokens": 961036.0, + "step": 435 + }, + { + "entropy": 7.125703001022339, + "epoch": 0.4437720625315179, + "grad_norm": 1.1328125, + "learning_rate": 0.0002195, + "loss": 6.6763, + "mean_token_accuracy": 0.09882956370711327, + "num_tokens": 972445.0, + "step": 440 + }, + { + "entropy": 7.0276741027832035, + "epoch": 0.44881492687846697, + "grad_norm": 1.171875, + "learning_rate": 0.000222, + "loss": 6.6481, + "mean_token_accuracy": 0.09917017221450805, + "num_tokens": 982847.0, + "step": 445 + }, + { + "entropy": 7.137781095504761, + "epoch": 0.45385779122541603, + "grad_norm": 1.1640625, + "learning_rate": 0.0002245, + "loss": 6.6044, + "mean_token_accuracy": 0.10046214014291763, + "num_tokens": 994055.0, + "step": 450 + }, + { + "entropy": 7.033148241043091, + "epoch": 0.4589006555723651, + "grad_norm": 1.09375, + "learning_rate": 0.00022700000000000002, + "loss": 6.5887, + "mean_token_accuracy": 0.10494610518217087, + "num_tokens": 1003565.0, + "step": 455 + }, + { + "entropy": 6.981668519973755, + "epoch": 0.46394351991931415, + "grad_norm": 1.2109375, + "learning_rate": 0.00022950000000000002, + "loss": 6.4992, + "mean_token_accuracy": 0.11249068826436996, + "num_tokens": 1013376.0, + "step": 460 + }, + { + "entropy": 7.059791231155396, + "epoch": 0.4689863842662632, + "grad_norm": 1.1328125, + "learning_rate": 0.00023200000000000003, + "loss": 6.5858, + "mean_token_accuracy": 0.10482539832592011, + "num_tokens": 1024580.0, + "step": 465 + }, + { + "entropy": 6.999967098236084, + "epoch": 0.47402924861321233, + "grad_norm": 0.96484375, + "learning_rate": 0.00023449999999999998, + "loss": 6.5819, + "mean_token_accuracy": 0.10121265724301338, + "num_tokens": 1037172.0, + "step": 470 + }, + { + "entropy": 7.029157018661499, + "epoch": 0.4790721129601614, + "grad_norm": 1.1328125, + "learning_rate": 0.000237, + "loss": 6.5026, + "mean_token_accuracy": 0.10607488974928855, + "num_tokens": 1046690.0, + "step": 475 + }, + { + "entropy": 6.958544731140137, + "epoch": 0.48411497730711045, + "grad_norm": 1.0234375, + "learning_rate": 0.0002395, + "loss": 6.5115, + "mean_token_accuracy": 0.10288126021623611, + "num_tokens": 1058341.0, + "step": 480 + }, + { + "entropy": 6.991989469528198, + "epoch": 0.4891578416540595, + "grad_norm": 1.203125, + "learning_rate": 0.000242, + "loss": 6.4452, + "mean_token_accuracy": 0.10999866873025894, + "num_tokens": 1067544.0, + "step": 485 + }, + { + "entropy": 7.035932159423828, + "epoch": 0.49420070600100857, + "grad_norm": 1.078125, + "learning_rate": 0.0002445, + "loss": 6.5638, + "mean_token_accuracy": 0.10314799919724464, + "num_tokens": 1079028.0, + "step": 490 + }, + { + "entropy": 6.959421110153198, + "epoch": 0.49924357034795763, + "grad_norm": 1.25, + "learning_rate": 0.000247, + "loss": 6.6327, + "mean_token_accuracy": 0.1083416223526001, + "num_tokens": 1090709.0, + "step": 495 + }, + { + "entropy": 6.954031038284302, + "epoch": 0.5042864346949067, + "grad_norm": 1.328125, + "learning_rate": 0.0002495, + "loss": 6.5021, + "mean_token_accuracy": 0.10255713239312172, + "num_tokens": 1102987.0, + "step": 500 + }, + { + "entropy": 7.159888648986817, + "epoch": 0.5093292990418558, + "grad_norm": 1.2578125, + "learning_rate": 0.000252, + "loss": 6.6089, + "mean_token_accuracy": 0.09792369678616523, + "num_tokens": 1113370.0, + "step": 505 + }, + { + "entropy": 6.860920858383179, + "epoch": 0.5143721633888049, + "grad_norm": 1.03125, + "learning_rate": 0.0002545, + "loss": 6.452, + "mean_token_accuracy": 0.11532516852021217, + "num_tokens": 1124054.0, + "step": 510 + }, + { + "entropy": 7.0116840362548825, + "epoch": 0.5194150277357539, + "grad_norm": 1.1015625, + "learning_rate": 0.000257, + "loss": 6.4394, + "mean_token_accuracy": 0.1111026681959629, + "num_tokens": 1134530.0, + "step": 515 + }, + { + "entropy": 6.8797385692596436, + "epoch": 0.524457892082703, + "grad_norm": 1.015625, + "learning_rate": 0.0002595, + "loss": 6.4534, + "mean_token_accuracy": 0.11024491488933563, + "num_tokens": 1146011.0, + "step": 520 + }, + { + "entropy": 6.911460733413696, + "epoch": 0.529500756429652, + "grad_norm": 1.125, + "learning_rate": 0.000262, + "loss": 6.5475, + "mean_token_accuracy": 0.10476418659090996, + "num_tokens": 1155822.0, + "step": 525 + }, + { + "entropy": 6.9672643661499025, + "epoch": 0.5345436207766011, + "grad_norm": 0.9375, + "learning_rate": 0.00026450000000000003, + "loss": 6.4517, + "mean_token_accuracy": 0.10918923616409301, + "num_tokens": 1167398.0, + "step": 530 + }, + { + "entropy": 6.951054525375366, + "epoch": 0.5395864851235502, + "grad_norm": 0.90234375, + "learning_rate": 0.00026700000000000004, + "loss": 6.5179, + "mean_token_accuracy": 0.10848165675997734, + "num_tokens": 1179706.0, + "step": 535 + }, + { + "entropy": 6.842685604095459, + "epoch": 0.5446293494704992, + "grad_norm": 1.1875, + "learning_rate": 0.00026950000000000005, + "loss": 6.4623, + "mean_token_accuracy": 0.10590022280812264, + "num_tokens": 1190159.0, + "step": 540 + }, + { + "entropy": 6.887945699691772, + "epoch": 0.5496722138174484, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 6.3957, + "mean_token_accuracy": 0.11316062286496162, + "num_tokens": 1200223.0, + "step": 545 + }, + { + "entropy": 6.8363923072814945, + "epoch": 0.5547150781643974, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 6.5028, + "mean_token_accuracy": 0.10700231790542603, + "num_tokens": 1212108.0, + "step": 550 + }, + { + "entropy": 6.985593938827515, + "epoch": 0.5597579425113465, + "grad_norm": 0.98828125, + "learning_rate": 0.000277, + "loss": 6.4666, + "mean_token_accuracy": 0.1086841069161892, + "num_tokens": 1221940.0, + "step": 555 + }, + { + "entropy": 6.873191499710083, + "epoch": 0.5648008068582955, + "grad_norm": 1.0625, + "learning_rate": 0.0002795, + "loss": 6.5171, + "mean_token_accuracy": 0.10610352382063866, + "num_tokens": 1232884.0, + "step": 560 + }, + { + "entropy": 6.956163358688355, + "epoch": 0.5698436712052446, + "grad_norm": 1.171875, + "learning_rate": 0.00028199999999999997, + "loss": 6.4327, + "mean_token_accuracy": 0.10770275890827179, + "num_tokens": 1242758.0, + "step": 565 + }, + { + "entropy": 6.814071226119995, + "epoch": 0.5748865355521936, + "grad_norm": 1.0703125, + "learning_rate": 0.0002845, + "loss": 6.4253, + "mean_token_accuracy": 0.11039303541183472, + "num_tokens": 1254787.0, + "step": 570 + }, + { + "entropy": 6.858562231063843, + "epoch": 0.5799293998991427, + "grad_norm": 1.0546875, + "learning_rate": 0.000287, + "loss": 6.4618, + "mean_token_accuracy": 0.11011067107319832, + "num_tokens": 1266364.0, + "step": 575 + }, + { + "entropy": 6.871497106552124, + "epoch": 0.5849722642460918, + "grad_norm": 1.203125, + "learning_rate": 0.0002895, + "loss": 6.4473, + "mean_token_accuracy": 0.10705809071660041, + "num_tokens": 1277105.0, + "step": 580 + }, + { + "entropy": 7.04167366027832, + "epoch": 0.5900151285930408, + "grad_norm": 0.921875, + "learning_rate": 0.000292, + "loss": 6.6277, + "mean_token_accuracy": 0.10272014588117599, + "num_tokens": 1288470.0, + "step": 585 + }, + { + "entropy": 6.948342657089233, + "epoch": 0.59505799293999, + "grad_norm": 1.09375, + "learning_rate": 0.0002945, + "loss": 6.5378, + "mean_token_accuracy": 0.10782962441444396, + "num_tokens": 1301596.0, + "step": 590 + }, + { + "entropy": 6.915746879577637, + "epoch": 0.600100857286939, + "grad_norm": 1.0390625, + "learning_rate": 0.000297, + "loss": 6.5886, + "mean_token_accuracy": 0.10370224639773369, + "num_tokens": 1314102.0, + "step": 595 + }, + { + "entropy": 6.862001037597656, + "epoch": 0.6051437216338881, + "grad_norm": 0.97265625, + "learning_rate": 0.0002995, + "loss": 6.4664, + "mean_token_accuracy": 0.11232062503695488, + "num_tokens": 1326939.0, + "step": 600 + }, + { + "entropy": 6.942681741714478, + "epoch": 0.6101865859808371, + "grad_norm": 0.9765625, + "learning_rate": 0.000302, + "loss": 6.5184, + "mean_token_accuracy": 0.10658980160951614, + "num_tokens": 1337877.0, + "step": 605 + }, + { + "entropy": 6.862700510025024, + "epoch": 0.6152294503277862, + "grad_norm": 1.078125, + "learning_rate": 0.0003045, + "loss": 6.4309, + "mean_token_accuracy": 0.10537772327661514, + "num_tokens": 1348425.0, + "step": 610 + }, + { + "entropy": 6.898571968078613, + "epoch": 0.6202723146747352, + "grad_norm": 1.09375, + "learning_rate": 0.000307, + "loss": 6.4755, + "mean_token_accuracy": 0.11413818150758744, + "num_tokens": 1359216.0, + "step": 615 + }, + { + "entropy": 6.801260757446289, + "epoch": 0.6253151790216843, + "grad_norm": 1.125, + "learning_rate": 0.0003095, + "loss": 6.4595, + "mean_token_accuracy": 0.11029788851737976, + "num_tokens": 1371181.0, + "step": 620 + }, + { + "entropy": 6.974251842498779, + "epoch": 0.6303580433686334, + "grad_norm": 0.9921875, + "learning_rate": 0.000312, + "loss": 6.4479, + "mean_token_accuracy": 0.10635321885347367, + "num_tokens": 1382371.0, + "step": 625 + }, + { + "entropy": 6.8364170551300045, + "epoch": 0.6354009077155824, + "grad_norm": 1.0546875, + "learning_rate": 0.0003145, + "loss": 6.4388, + "mean_token_accuracy": 0.10637976825237275, + "num_tokens": 1392981.0, + "step": 630 + }, + { + "entropy": 6.818234634399414, + "epoch": 0.6404437720625316, + "grad_norm": 1.015625, + "learning_rate": 0.000317, + "loss": 6.4792, + "mean_token_accuracy": 0.11108815595507622, + "num_tokens": 1405782.0, + "step": 635 + }, + { + "entropy": 6.831936502456665, + "epoch": 0.6454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.0003195, + "loss": 6.4194, + "mean_token_accuracy": 0.11271615028381347, + "num_tokens": 1415809.0, + "step": 640 + }, + { + "entropy": 6.828110933303833, + "epoch": 0.6505295007564297, + "grad_norm": 1.1015625, + "learning_rate": 0.000322, + "loss": 6.4539, + "mean_token_accuracy": 0.10585936233401298, + "num_tokens": 1427845.0, + "step": 645 + }, + { + "entropy": 6.850209903717041, + "epoch": 0.6555723651033787, + "grad_norm": 1.0859375, + "learning_rate": 0.00032450000000000003, + "loss": 6.4514, + "mean_token_accuracy": 0.10457649230957031, + "num_tokens": 1439761.0, + "step": 650 + }, + { + "entropy": 6.716944456100464, + "epoch": 0.6606152294503278, + "grad_norm": 1.265625, + "learning_rate": 0.00032700000000000003, + "loss": 6.4282, + "mean_token_accuracy": 0.11434582471847535, + "num_tokens": 1450373.0, + "step": 655 + }, + { + "entropy": 6.7856956958770756, + "epoch": 0.6656580937972768, + "grad_norm": 1.2578125, + "learning_rate": 0.00032950000000000004, + "loss": 6.308, + "mean_token_accuracy": 0.11268317475914955, + "num_tokens": 1462134.0, + "step": 660 + }, + { + "entropy": 6.804158306121826, + "epoch": 0.6707009581442259, + "grad_norm": 1.125, + "learning_rate": 0.00033200000000000005, + "loss": 6.4147, + "mean_token_accuracy": 0.11142993420362472, + "num_tokens": 1473600.0, + "step": 665 + }, + { + "entropy": 6.800200128555298, + "epoch": 0.675743822491175, + "grad_norm": 1.1171875, + "learning_rate": 0.00033450000000000005, + "loss": 6.361, + "mean_token_accuracy": 0.11059448346495629, + "num_tokens": 1484313.0, + "step": 670 + }, + { + "entropy": 6.850586938858032, + "epoch": 0.680786686838124, + "grad_norm": 1.171875, + "learning_rate": 0.000337, + "loss": 6.445, + "mean_token_accuracy": 0.10799070671200753, + "num_tokens": 1495407.0, + "step": 675 + }, + { + "entropy": 6.776702213287353, + "epoch": 0.6858295511850732, + "grad_norm": 1.09375, + "learning_rate": 0.0003395, + "loss": 6.526, + "mean_token_accuracy": 0.10533422976732254, + "num_tokens": 1506707.0, + "step": 680 + }, + { + "entropy": 6.7912431240081785, + "epoch": 0.6908724155320222, + "grad_norm": 1.078125, + "learning_rate": 0.000342, + "loss": 6.3557, + "mean_token_accuracy": 0.11059139668941498, + "num_tokens": 1517991.0, + "step": 685 + }, + { + "entropy": 6.7320136547088625, + "epoch": 0.6959152798789713, + "grad_norm": 1.1171875, + "learning_rate": 0.00034449999999999997, + "loss": 6.4017, + "mean_token_accuracy": 0.11187214478850364, + "num_tokens": 1529538.0, + "step": 690 + }, + { + "entropy": 6.701151990890503, + "epoch": 0.7009581442259203, + "grad_norm": 1.0234375, + "learning_rate": 0.000347, + "loss": 6.4026, + "mean_token_accuracy": 0.11320648416876793, + "num_tokens": 1540183.0, + "step": 695 + }, + { + "entropy": 6.852318525314331, + "epoch": 0.7060010085728694, + "grad_norm": 1.125, + "learning_rate": 0.0003495, + "loss": 6.4475, + "mean_token_accuracy": 0.10782841965556145, + "num_tokens": 1552899.0, + "step": 700 + }, + { + "entropy": 6.773307371139526, + "epoch": 0.7110438729198184, + "grad_norm": 1.046875, + "learning_rate": 0.000352, + "loss": 6.424, + "mean_token_accuracy": 0.10968175902962685, + "num_tokens": 1563219.0, + "step": 705 + }, + { + "entropy": 6.795606517791748, + "epoch": 0.7160867372667675, + "grad_norm": 1.265625, + "learning_rate": 0.0003545, + "loss": 6.3444, + "mean_token_accuracy": 0.1151584655046463, + "num_tokens": 1573508.0, + "step": 710 + }, + { + "entropy": 6.708667278289795, + "epoch": 0.7211296016137166, + "grad_norm": 1.0703125, + "learning_rate": 0.000357, + "loss": 6.4283, + "mean_token_accuracy": 0.10857328176498413, + "num_tokens": 1584319.0, + "step": 715 + }, + { + "entropy": 6.716313695907592, + "epoch": 0.7261724659606656, + "grad_norm": 1.2734375, + "learning_rate": 0.0003595, + "loss": 6.297, + "mean_token_accuracy": 0.12033721506595611, + "num_tokens": 1595986.0, + "step": 720 + }, + { + "entropy": 6.664373064041138, + "epoch": 0.7312153303076148, + "grad_norm": 1.1015625, + "learning_rate": 0.000362, + "loss": 6.37, + "mean_token_accuracy": 0.11175311356782913, + "num_tokens": 1606742.0, + "step": 725 + }, + { + "entropy": 6.734103393554688, + "epoch": 0.7362581946545638, + "grad_norm": 1.0546875, + "learning_rate": 0.0003645, + "loss": 6.3412, + "mean_token_accuracy": 0.11203160732984543, + "num_tokens": 1618325.0, + "step": 730 + }, + { + "entropy": 6.739001607894897, + "epoch": 0.7413010590015129, + "grad_norm": 1.21875, + "learning_rate": 0.000367, + "loss": 6.3498, + "mean_token_accuracy": 0.1113662451505661, + "num_tokens": 1627693.0, + "step": 735 + }, + { + "entropy": 6.693121767044067, + "epoch": 0.7463439233484619, + "grad_norm": 1.140625, + "learning_rate": 0.0003695, + "loss": 6.3145, + "mean_token_accuracy": 0.11420592591166497, + "num_tokens": 1637707.0, + "step": 740 + }, + { + "entropy": 6.634211206436158, + "epoch": 0.751386787695411, + "grad_norm": 1.171875, + "learning_rate": 0.000372, + "loss": 6.3234, + "mean_token_accuracy": 0.1172995112836361, + "num_tokens": 1647277.0, + "step": 745 + }, + { + "entropy": 6.757878684997559, + "epoch": 0.75642965204236, + "grad_norm": 0.97265625, + "learning_rate": 0.0003745, + "loss": 6.3699, + "mean_token_accuracy": 0.11142466813325883, + "num_tokens": 1657919.0, + "step": 750 + }, + { + "entropy": 6.714281225204468, + "epoch": 0.7614725163893091, + "grad_norm": 1.140625, + "learning_rate": 0.000377, + "loss": 6.4127, + "mean_token_accuracy": 0.11027689799666404, + "num_tokens": 1669107.0, + "step": 755 + }, + { + "entropy": 6.73455228805542, + "epoch": 0.7665153807362582, + "grad_norm": 0.97265625, + "learning_rate": 0.0003795, + "loss": 6.4201, + "mean_token_accuracy": 0.1129143200814724, + "num_tokens": 1681338.0, + "step": 760 + }, + { + "entropy": 6.710708665847778, + "epoch": 0.7715582450832073, + "grad_norm": 1.1484375, + "learning_rate": 0.000382, + "loss": 6.2621, + "mean_token_accuracy": 0.11415471211075782, + "num_tokens": 1691288.0, + "step": 765 + }, + { + "entropy": 6.568854570388794, + "epoch": 0.7766011094301564, + "grad_norm": 1.0390625, + "learning_rate": 0.0003845, + "loss": 6.3503, + "mean_token_accuracy": 0.11261749044060707, + "num_tokens": 1702864.0, + "step": 770 + }, + { + "entropy": 6.679662752151489, + "epoch": 0.7816439737771054, + "grad_norm": 0.9921875, + "learning_rate": 0.00038700000000000003, + "loss": 6.2684, + "mean_token_accuracy": 0.12043757885694503, + "num_tokens": 1712454.0, + "step": 775 + }, + { + "entropy": 6.683392810821533, + "epoch": 0.7866868381240545, + "grad_norm": 1.1015625, + "learning_rate": 0.00038950000000000003, + "loss": 6.4333, + "mean_token_accuracy": 0.1112380564212799, + "num_tokens": 1723925.0, + "step": 780 + }, + { + "entropy": 6.6579155921936035, + "epoch": 0.7917297024710035, + "grad_norm": 1.0390625, + "learning_rate": 0.00039200000000000004, + "loss": 6.36, + "mean_token_accuracy": 0.11308201998472214, + "num_tokens": 1735624.0, + "step": 785 + }, + { + "entropy": 6.683883953094482, + "epoch": 0.7967725668179526, + "grad_norm": 1.0390625, + "learning_rate": 0.00039450000000000005, + "loss": 6.3225, + "mean_token_accuracy": 0.11539738923311234, + "num_tokens": 1746288.0, + "step": 790 + }, + { + "entropy": 6.768927764892578, + "epoch": 0.8018154311649016, + "grad_norm": 1.1171875, + "learning_rate": 0.00039700000000000005, + "loss": 6.4913, + "mean_token_accuracy": 0.10619482472538948, + "num_tokens": 1758145.0, + "step": 795 + }, + { + "entropy": 6.602115249633789, + "epoch": 0.8068582955118507, + "grad_norm": 1.0546875, + "learning_rate": 0.0003995, + "loss": 6.3161, + "mean_token_accuracy": 0.1136295534670353, + "num_tokens": 1768586.0, + "step": 800 + }, + { + "entropy": 6.709038305282593, + "epoch": 0.8119011598587998, + "grad_norm": 1.078125, + "learning_rate": 0.000402, + "loss": 6.321, + "mean_token_accuracy": 0.11802070513367653, + "num_tokens": 1780502.0, + "step": 805 + }, + { + "entropy": 6.624473953247071, + "epoch": 0.8169440242057489, + "grad_norm": 0.9921875, + "learning_rate": 0.0004045, + "loss": 6.3582, + "mean_token_accuracy": 0.11211898848414421, + "num_tokens": 1791450.0, + "step": 810 + }, + { + "entropy": 6.6230384349823, + "epoch": 0.821986888552698, + "grad_norm": 1.0234375, + "learning_rate": 0.00040699999999999997, + "loss": 6.3628, + "mean_token_accuracy": 0.1177310198545456, + "num_tokens": 1803690.0, + "step": 815 + }, + { + "entropy": 6.609463548660278, + "epoch": 0.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.0004095, + "loss": 6.2264, + "mean_token_accuracy": 0.11917722448706627, + "num_tokens": 1813630.0, + "step": 820 + }, + { + "entropy": 6.637943077087402, + "epoch": 0.8320726172465961, + "grad_norm": 1.03125, + "learning_rate": 0.000412, + "loss": 6.2778, + "mean_token_accuracy": 0.11222293600440025, + "num_tokens": 1824537.0, + "step": 825 + }, + { + "entropy": 6.645944356918335, + "epoch": 0.8371154815935451, + "grad_norm": 1.0234375, + "learning_rate": 0.0004145, + "loss": 6.3373, + "mean_token_accuracy": 0.1141052208840847, + "num_tokens": 1834404.0, + "step": 830 + }, + { + "entropy": 6.700550842285156, + "epoch": 0.8421583459404942, + "grad_norm": 1.09375, + "learning_rate": 0.000417, + "loss": 6.3104, + "mean_token_accuracy": 0.12324466183781624, + "num_tokens": 1845371.0, + "step": 835 + }, + { + "entropy": 6.50260362625122, + "epoch": 0.8472012102874432, + "grad_norm": 1.1171875, + "learning_rate": 0.0004195, + "loss": 6.341, + "mean_token_accuracy": 0.11797986924648285, + "num_tokens": 1856749.0, + "step": 840 + }, + { + "entropy": 6.63838267326355, + "epoch": 0.8522440746343923, + "grad_norm": 1.140625, + "learning_rate": 0.000422, + "loss": 6.3337, + "mean_token_accuracy": 0.109927898645401, + "num_tokens": 1866577.0, + "step": 845 + }, + { + "entropy": 6.72889552116394, + "epoch": 0.8572869389813415, + "grad_norm": 1.0703125, + "learning_rate": 0.0004245, + "loss": 6.282, + "mean_token_accuracy": 0.1153933621942997, + "num_tokens": 1877123.0, + "step": 850 + }, + { + "entropy": 6.602636194229126, + "epoch": 0.8623298033282905, + "grad_norm": 0.98828125, + "learning_rate": 0.000427, + "loss": 6.3232, + "mean_token_accuracy": 0.11297061070799827, + "num_tokens": 1888171.0, + "step": 855 + }, + { + "entropy": 6.546885442733765, + "epoch": 0.8673726676752396, + "grad_norm": 1.09375, + "learning_rate": 0.0004295, + "loss": 6.2226, + "mean_token_accuracy": 0.11574787572026253, + "num_tokens": 1898150.0, + "step": 860 + }, + { + "entropy": 6.649620103836059, + "epoch": 0.8724155320221886, + "grad_norm": 1.203125, + "learning_rate": 0.000432, + "loss": 6.3305, + "mean_token_accuracy": 0.11207615062594414, + "num_tokens": 1907641.0, + "step": 865 + }, + { + "entropy": 6.632721757888794, + "epoch": 0.8774583963691377, + "grad_norm": 1.0625, + "learning_rate": 0.0004345, + "loss": 6.2845, + "mean_token_accuracy": 0.11901096925139427, + "num_tokens": 1918297.0, + "step": 870 + }, + { + "entropy": 6.578178358078003, + "epoch": 0.8825012607160867, + "grad_norm": 0.86328125, + "learning_rate": 0.000437, + "loss": 6.3186, + "mean_token_accuracy": 0.1133461907505989, + "num_tokens": 1930268.0, + "step": 875 + }, + { + "entropy": 6.531199407577515, + "epoch": 0.8875441250630358, + "grad_norm": 1.0, + "learning_rate": 0.0004395, + "loss": 6.2465, + "mean_token_accuracy": 0.12018090561032295, + "num_tokens": 1941762.0, + "step": 880 + }, + { + "entropy": 6.59914002418518, + "epoch": 0.8925869894099848, + "grad_norm": 1.0859375, + "learning_rate": 0.000442, + "loss": 6.3195, + "mean_token_accuracy": 0.11756950095295907, + "num_tokens": 1952416.0, + "step": 885 + }, + { + "entropy": 6.5428722381591795, + "epoch": 0.8976298537569339, + "grad_norm": 1.078125, + "learning_rate": 0.0004445, + "loss": 6.2651, + "mean_token_accuracy": 0.11572367325425148, + "num_tokens": 1963451.0, + "step": 890 + }, + { + "entropy": 6.58216700553894, + "epoch": 0.902672718103883, + "grad_norm": 1.046875, + "learning_rate": 0.000447, + "loss": 6.2794, + "mean_token_accuracy": 0.11693633943796158, + "num_tokens": 1974360.0, + "step": 895 + }, + { + "entropy": 6.693656730651855, + "epoch": 0.9077155824508321, + "grad_norm": 0.87109375, + "learning_rate": 0.00044950000000000003, + "loss": 6.3962, + "mean_token_accuracy": 0.10579293221235275, + "num_tokens": 1985823.0, + "step": 900 + }, + { + "entropy": 6.767707967758179, + "epoch": 0.9127584467977812, + "grad_norm": 0.98828125, + "learning_rate": 0.00045200000000000004, + "loss": 6.4287, + "mean_token_accuracy": 0.11259771957993507, + "num_tokens": 1997475.0, + "step": 905 + }, + { + "entropy": 6.570524787902832, + "epoch": 0.9178013111447302, + "grad_norm": 1.078125, + "learning_rate": 0.00045450000000000004, + "loss": 6.2708, + "mean_token_accuracy": 0.11376104354858399, + "num_tokens": 2009029.0, + "step": 910 + }, + { + "entropy": 6.4297045230865475, + "epoch": 0.9228441754916793, + "grad_norm": 1.03125, + "learning_rate": 0.00045700000000000005, + "loss": 6.141, + "mean_token_accuracy": 0.11884743124246597, + "num_tokens": 2019564.0, + "step": 915 + }, + { + "entropy": 6.618962907791138, + "epoch": 0.9278870398386283, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.3949, + "mean_token_accuracy": 0.11527436822652817, + "num_tokens": 2031394.0, + "step": 920 + }, + { + "entropy": 6.623352861404419, + "epoch": 0.9329299041855774, + "grad_norm": 1.0390625, + "learning_rate": 0.000462, + "loss": 6.2762, + "mean_token_accuracy": 0.1077704131603241, + "num_tokens": 2042132.0, + "step": 925 + }, + { + "entropy": 6.538896608352661, + "epoch": 0.9379727685325264, + "grad_norm": 1.046875, + "learning_rate": 0.0004645, + "loss": 6.2666, + "mean_token_accuracy": 0.1150762416422367, + "num_tokens": 2054469.0, + "step": 930 + }, + { + "entropy": 6.48656005859375, + "epoch": 0.9430156328794755, + "grad_norm": 1.0234375, + "learning_rate": 0.000467, + "loss": 6.2445, + "mean_token_accuracy": 0.11287088468670844, + "num_tokens": 2065001.0, + "step": 935 + }, + { + "entropy": 6.535896301269531, + "epoch": 0.9480584972264247, + "grad_norm": 1.1328125, + "learning_rate": 0.0004695, + "loss": 6.2612, + "mean_token_accuracy": 0.11251269802451133, + "num_tokens": 2075786.0, + "step": 940 + }, + { + "entropy": 6.53080735206604, + "epoch": 0.9531013615733737, + "grad_norm": 1.0859375, + "learning_rate": 0.000472, + "loss": 6.2161, + "mean_token_accuracy": 0.1198991946876049, + "num_tokens": 2087818.0, + "step": 945 + }, + { + "entropy": 6.592200040817261, + "epoch": 0.9581442259203228, + "grad_norm": 0.95703125, + "learning_rate": 0.0004745, + "loss": 6.3004, + "mean_token_accuracy": 0.1103257454931736, + "num_tokens": 2098771.0, + "step": 950 + }, + { + "entropy": 6.4617808818817135, + "epoch": 0.9631870902672718, + "grad_norm": 0.96484375, + "learning_rate": 0.000477, + "loss": 6.2119, + "mean_token_accuracy": 0.12062049955129624, + "num_tokens": 2110036.0, + "step": 955 + }, + { + "entropy": 6.536091947555542, + "epoch": 0.9682299546142209, + "grad_norm": 0.96484375, + "learning_rate": 0.0004795, + "loss": 6.312, + "mean_token_accuracy": 0.12011703029274941, + "num_tokens": 2120411.0, + "step": 960 + }, + { + "entropy": 6.482806015014648, + "epoch": 0.9732728189611699, + "grad_norm": 0.9140625, + "learning_rate": 0.000482, + "loss": 6.2244, + "mean_token_accuracy": 0.11997658982872964, + "num_tokens": 2132831.0, + "step": 965 + }, + { + "entropy": 6.493047666549683, + "epoch": 0.978315683308119, + "grad_norm": 0.9609375, + "learning_rate": 0.0004845, + "loss": 6.1953, + "mean_token_accuracy": 0.11635629460215569, + "num_tokens": 2143166.0, + "step": 970 + }, + { + "entropy": 6.481213617324829, + "epoch": 0.983358547655068, + "grad_norm": 0.9609375, + "learning_rate": 0.000487, + "loss": 6.2695, + "mean_token_accuracy": 0.10903773382306099, + "num_tokens": 2154366.0, + "step": 975 + }, + { + "entropy": 6.55472240447998, + "epoch": 0.9884014120020171, + "grad_norm": 1.2265625, + "learning_rate": 0.0004895, + "loss": 6.2535, + "mean_token_accuracy": 0.11955308020114899, + "num_tokens": 2164396.0, + "step": 980 + }, + { + "entropy": 6.478724098205566, + "epoch": 0.9934442763489663, + "grad_norm": 1.015625, + "learning_rate": 0.000492, + "loss": 6.3211, + "mean_token_accuracy": 0.11328333243727684, + "num_tokens": 2177295.0, + "step": 985 + }, + { + "entropy": 6.5510862350463865, + "epoch": 0.9984871406959153, + "grad_norm": 0.96875, + "learning_rate": 0.0004945, + "loss": 6.1761, + "mean_token_accuracy": 0.12193462178111077, + "num_tokens": 2188832.0, + "step": 990 + }, + { + "entropy": 6.45083400938246, + "epoch": 1.0030257186081695, + "grad_norm": 1.6484375, + "learning_rate": 0.000497, + "loss": 6.1345, + "mean_token_accuracy": 0.11941885699828465, + "num_tokens": 2197926.0, + "step": 995 + }, + { + "entropy": 6.500611925125122, + "epoch": 1.0080685829551186, + "grad_norm": 1.046875, + "learning_rate": 0.0004995, + "loss": 6.173, + "mean_token_accuracy": 0.11789006367325783, + "num_tokens": 2209156.0, + "step": 1000 + }, + { + "epoch": 1.0080685829551186, + "eval_entropy": 6.293738744337746, + "eval_loss": 6.301364898681641, + "eval_mean_token_accuracy": 0.11593409591655392, + "eval_num_tokens": 2209156.0, + "eval_runtime": 2.053, + "eval_samples_per_second": 1528.532, + "eval_steps_per_second": 191.432, + "step": 1000 + }, + { + "entropy": 6.380574512481689, + "epoch": 1.0131114473020675, + "grad_norm": 1.0, + "learning_rate": 0.0004999997762223182, + "loss": 6.0618, + "mean_token_accuracy": 0.1228681594133377, + "num_tokens": 2220419.0, + "step": 1005 + }, + { + "entropy": 6.594297313690186, + "epoch": 1.0181543116490166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004999988671262489, + "loss": 6.2169, + "mean_token_accuracy": 0.1185660257935524, + "num_tokens": 2232671.0, + "step": 1010 + }, + { + "entropy": 6.441428279876709, + "epoch": 1.0231971759959657, + "grad_norm": 1.078125, + "learning_rate": 0.0004999972587285105, + "loss": 6.1056, + "mean_token_accuracy": 0.12909807413816451, + "num_tokens": 2243367.0, + "step": 1015 + }, + { + "entropy": 6.527055931091309, + "epoch": 1.0282400403429148, + "grad_norm": 1.0703125, + "learning_rate": 0.0004999949510341015, + "loss": 6.0476, + "mean_token_accuracy": 0.1258266642689705, + "num_tokens": 2254120.0, + "step": 1020 + }, + { + "entropy": 6.445385408401489, + "epoch": 1.033282904689864, + "grad_norm": 0.99609375, + "learning_rate": 0.0004999919440501947, + "loss": 6.0938, + "mean_token_accuracy": 0.12587995156645776, + "num_tokens": 2265430.0, + "step": 1025 + }, + { + "entropy": 6.474833059310913, + "epoch": 1.0383257690368128, + "grad_norm": 1.03125, + "learning_rate": 0.0004999882377861355, + "loss": 6.1379, + "mean_token_accuracy": 0.11899987384676933, + "num_tokens": 2277031.0, + "step": 1030 + }, + { + "entropy": 6.336647272109985, + "epoch": 1.043368633383762, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999838322534433, + "loss": 6.0122, + "mean_token_accuracy": 0.1258586823940277, + "num_tokens": 2287430.0, + "step": 1035 + }, + { + "entropy": 6.418465614318848, + "epoch": 1.048411497730711, + "grad_norm": 1.09375, + "learning_rate": 0.0004999787274658107, + "loss": 6.0937, + "mean_token_accuracy": 0.12477722540497779, + "num_tokens": 2298063.0, + "step": 1040 + }, + { + "entropy": 6.434740781784058, + "epoch": 1.0534543620776602, + "grad_norm": 1.046875, + "learning_rate": 0.0004999729234391032, + "loss": 6.14, + "mean_token_accuracy": 0.11822782978415489, + "num_tokens": 2308684.0, + "step": 1045 + }, + { + "entropy": 6.431240081787109, + "epoch": 1.058497226424609, + "grad_norm": 1.015625, + "learning_rate": 0.00049996642019136, + "loss": 6.069, + "mean_token_accuracy": 0.1249009370803833, + "num_tokens": 2319611.0, + "step": 1050 + }, + { + "entropy": 6.3972173690795895, + "epoch": 1.0635400907715582, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999592177427933, + "loss": 6.0429, + "mean_token_accuracy": 0.12159126326441765, + "num_tokens": 2330655.0, + "step": 1055 + }, + { + "entropy": 6.373932552337647, + "epoch": 1.0685829551185073, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999513161157885, + "loss": 6.0513, + "mean_token_accuracy": 0.1277623564004898, + "num_tokens": 2341717.0, + "step": 1060 + }, + { + "entropy": 6.368822145462036, + "epoch": 1.0736258194654564, + "grad_norm": 1.03125, + "learning_rate": 0.0004999427153349041, + "loss": 6.1222, + "mean_token_accuracy": 0.12355232909321785, + "num_tokens": 2352614.0, + "step": 1065 + }, + { + "entropy": 6.362414598464966, + "epoch": 1.0786686838124055, + "grad_norm": 1.078125, + "learning_rate": 0.0004999334154268714, + "loss": 6.0426, + "mean_token_accuracy": 0.12430263385176658, + "num_tokens": 2362651.0, + "step": 1070 + }, + { + "entropy": 6.453306579589844, + "epoch": 1.0837115481593544, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999234164205949, + "loss": 6.0332, + "mean_token_accuracy": 0.12451537624001503, + "num_tokens": 2375518.0, + "step": 1075 + }, + { + "entropy": 6.368288326263428, + "epoch": 1.0887544125063036, + "grad_norm": 0.9296875, + "learning_rate": 0.0004999127183471517, + "loss": 6.1056, + "mean_token_accuracy": 0.11944749429821969, + "num_tokens": 2386908.0, + "step": 1080 + }, + { + "entropy": 6.233647203445434, + "epoch": 1.0937972768532527, + "grad_norm": 0.890625, + "learning_rate": 0.0004999013212397915, + "loss": 5.9485, + "mean_token_accuracy": 0.13038301914930345, + "num_tokens": 2398992.0, + "step": 1085 + }, + { + "entropy": 6.483757638931275, + "epoch": 1.0988401412002018, + "grad_norm": 0.95703125, + "learning_rate": 0.0004998892251339368, + "loss": 6.1526, + "mean_token_accuracy": 0.11885706782341003, + "num_tokens": 2410741.0, + "step": 1090 + }, + { + "entropy": 6.373459053039551, + "epoch": 1.1038830055471507, + "grad_norm": 0.9609375, + "learning_rate": 0.0004998764300671827, + "loss": 6.1014, + "mean_token_accuracy": 0.11981240957975388, + "num_tokens": 2421702.0, + "step": 1095 + }, + { + "entropy": 6.387602806091309, + "epoch": 1.1089258698940998, + "grad_norm": 1.0703125, + "learning_rate": 0.0004998629360792965, + "loss": 6.1255, + "mean_token_accuracy": 0.12111065089702606, + "num_tokens": 2433676.0, + "step": 1100 + }, + { + "entropy": 6.424046039581299, + "epoch": 1.113968734241049, + "grad_norm": 0.9375, + "learning_rate": 0.0004998487432122179, + "loss": 6.0617, + "mean_token_accuracy": 0.13049159124493598, + "num_tokens": 2445415.0, + "step": 1105 + }, + { + "entropy": 6.266917037963867, + "epoch": 1.119011598587998, + "grad_norm": 1.21875, + "learning_rate": 0.0004998338515100585, + "loss": 5.9754, + "mean_token_accuracy": 0.12859009951353073, + "num_tokens": 2456195.0, + "step": 1110 + }, + { + "entropy": 6.311762189865112, + "epoch": 1.1240544629349472, + "grad_norm": 1.0859375, + "learning_rate": 0.0004998182610191022, + "loss": 6.0393, + "mean_token_accuracy": 0.12430239692330361, + "num_tokens": 2469448.0, + "step": 1115 + }, + { + "entropy": 6.343682909011841, + "epoch": 1.129097327281896, + "grad_norm": 0.8671875, + "learning_rate": 0.0004998019717878047, + "loss": 6.0318, + "mean_token_accuracy": 0.12581473588943481, + "num_tokens": 2480532.0, + "step": 1120 + }, + { + "entropy": 6.31264820098877, + "epoch": 1.1341401916288452, + "grad_norm": 1.015625, + "learning_rate": 0.000499784983866793, + "loss": 5.9978, + "mean_token_accuracy": 0.12010813131928444, + "num_tokens": 2492203.0, + "step": 1125 + }, + { + "entropy": 6.282516193389893, + "epoch": 1.1391830559757943, + "grad_norm": 1.15625, + "learning_rate": 0.0004997672973088661, + "loss": 5.9818, + "mean_token_accuracy": 0.12565053179860114, + "num_tokens": 2502503.0, + "step": 1130 + }, + { + "entropy": 6.332369613647461, + "epoch": 1.1442259203227434, + "grad_norm": 1.015625, + "learning_rate": 0.0004997489121689944, + "loss": 6.0528, + "mean_token_accuracy": 0.12229174375534058, + "num_tokens": 2513981.0, + "step": 1135 + }, + { + "entropy": 6.361654996871948, + "epoch": 1.1492687846696923, + "grad_norm": 1.125, + "learning_rate": 0.0004997298285043189, + "loss": 6.0537, + "mean_token_accuracy": 0.1268092177808285, + "num_tokens": 2524572.0, + "step": 1140 + }, + { + "entropy": 6.332787799835205, + "epoch": 1.1543116490166414, + "grad_norm": 1.078125, + "learning_rate": 0.0004997100463741527, + "loss": 6.0419, + "mean_token_accuracy": 0.1255467101931572, + "num_tokens": 2534159.0, + "step": 1145 + }, + { + "entropy": 6.339848136901855, + "epoch": 1.1593545133635905, + "grad_norm": 0.8984375, + "learning_rate": 0.0004996895658399785, + "loss": 6.0105, + "mean_token_accuracy": 0.12619809359312056, + "num_tokens": 2545486.0, + "step": 1150 + }, + { + "entropy": 6.28226490020752, + "epoch": 1.1643973777105396, + "grad_norm": 0.9375, + "learning_rate": 0.0004996683869654507, + "loss": 6.0257, + "mean_token_accuracy": 0.12942853271961213, + "num_tokens": 2556288.0, + "step": 1155 + }, + { + "entropy": 6.308646821975708, + "epoch": 1.1694402420574885, + "grad_norm": 1.0, + "learning_rate": 0.0004996465098163934, + "loss": 6.0005, + "mean_token_accuracy": 0.12609127834439277, + "num_tokens": 2567241.0, + "step": 1160 + }, + { + "entropy": 6.257927417755127, + "epoch": 1.1744831064044376, + "grad_norm": 1.0390625, + "learning_rate": 0.0004996239344608015, + "loss": 6.0212, + "mean_token_accuracy": 0.12528160214424133, + "num_tokens": 2577697.0, + "step": 1165 + }, + { + "entropy": 6.353972053527832, + "epoch": 1.1795259707513868, + "grad_norm": 0.9765625, + "learning_rate": 0.0004996006609688398, + "loss": 6.0098, + "mean_token_accuracy": 0.13097208365797997, + "num_tokens": 2588231.0, + "step": 1170 + }, + { + "entropy": 6.2682051181793215, + "epoch": 1.1845688350983359, + "grad_norm": 0.9609375, + "learning_rate": 0.0004995766894128426, + "loss": 5.9628, + "mean_token_accuracy": 0.13096450343728067, + "num_tokens": 2598750.0, + "step": 1175 + }, + { + "entropy": 6.331038904190064, + "epoch": 1.189611699445285, + "grad_norm": 1.1171875, + "learning_rate": 0.0004995520198673143, + "loss": 6.0365, + "mean_token_accuracy": 0.12640778720378876, + "num_tokens": 2609481.0, + "step": 1180 + }, + { + "entropy": 6.301260614395142, + "epoch": 1.194654563792234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995266524089283, + "loss": 6.0326, + "mean_token_accuracy": 0.12409081980586052, + "num_tokens": 2619746.0, + "step": 1185 + }, + { + "entropy": 6.2238668441772464, + "epoch": 1.199697428139183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995005871165271, + "loss": 5.906, + "mean_token_accuracy": 0.13082837238907813, + "num_tokens": 2629578.0, + "step": 1190 + }, + { + "entropy": 6.251807498931885, + "epoch": 1.2047402924861321, + "grad_norm": 1.03125, + "learning_rate": 0.0004994738240711225, + "loss": 5.9644, + "mean_token_accuracy": 0.13376058265566826, + "num_tokens": 2639063.0, + "step": 1195 + }, + { + "entropy": 6.277953433990478, + "epoch": 1.2097831568330812, + "grad_norm": 1.03125, + "learning_rate": 0.0004994463633558945, + "loss": 6.0826, + "mean_token_accuracy": 0.1265018604695797, + "num_tokens": 2649304.0, + "step": 1200 + }, + { + "entropy": 6.371228885650635, + "epoch": 1.2148260211800301, + "grad_norm": 1.0859375, + "learning_rate": 0.0004994182050561917, + "loss": 6.0794, + "mean_token_accuracy": 0.12711584940552711, + "num_tokens": 2659917.0, + "step": 1205 + }, + { + "entropy": 6.348291826248169, + "epoch": 1.2198688855269793, + "grad_norm": 0.95703125, + "learning_rate": 0.0004993893492595306, + "loss": 6.1416, + "mean_token_accuracy": 0.12414629384875298, + "num_tokens": 2672136.0, + "step": 1210 + }, + { + "entropy": 6.322640752792358, + "epoch": 1.2249117498739284, + "grad_norm": 0.92578125, + "learning_rate": 0.0004993597960555959, + "loss": 6.0743, + "mean_token_accuracy": 0.12048955485224724, + "num_tokens": 2683656.0, + "step": 1215 + }, + { + "entropy": 6.207147073745728, + "epoch": 1.2299546142208775, + "grad_norm": 1.0546875, + "learning_rate": 0.0004993295455362395, + "loss": 5.9307, + "mean_token_accuracy": 0.12895723581314086, + "num_tokens": 2693289.0, + "step": 1220 + }, + { + "entropy": 6.320633220672607, + "epoch": 1.2349974785678266, + "grad_norm": 1.1953125, + "learning_rate": 0.0004992985977954808, + "loss": 5.9874, + "mean_token_accuracy": 0.12993058934807777, + "num_tokens": 2703442.0, + "step": 1225 + }, + { + "entropy": 6.355954933166504, + "epoch": 1.2400403429147757, + "grad_norm": 1.0390625, + "learning_rate": 0.000499266952929506, + "loss": 6.0387, + "mean_token_accuracy": 0.12347332090139389, + "num_tokens": 2715229.0, + "step": 1230 + }, + { + "entropy": 6.2153572082519535, + "epoch": 1.2450832072617246, + "grad_norm": 1.09375, + "learning_rate": 0.0004992346110366682, + "loss": 5.9723, + "mean_token_accuracy": 0.12580555379390718, + "num_tokens": 2725075.0, + "step": 1235 + }, + { + "entropy": 6.289635229110718, + "epoch": 1.2501260716086737, + "grad_norm": 0.9765625, + "learning_rate": 0.0004992015722174865, + "loss": 5.9753, + "mean_token_accuracy": 0.1257520206272602, + "num_tokens": 2735138.0, + "step": 1240 + }, + { + "entropy": 6.132227563858033, + "epoch": 1.2551689359556228, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991678365746466, + "loss": 5.9169, + "mean_token_accuracy": 0.13637566268444062, + "num_tokens": 2745824.0, + "step": 1245 + }, + { + "entropy": 6.316624927520752, + "epoch": 1.2602118003025717, + "grad_norm": 1.09375, + "learning_rate": 0.0004991334042129996, + "loss": 6.0001, + "mean_token_accuracy": 0.1267104282975197, + "num_tokens": 2756194.0, + "step": 1250 + }, + { + "entropy": 6.3138305187225345, + "epoch": 1.2652546646495209, + "grad_norm": 1.03125, + "learning_rate": 0.0004990982752395618, + "loss": 6.1534, + "mean_token_accuracy": 0.12595434188842775, + "num_tokens": 2766811.0, + "step": 1255 + }, + { + "entropy": 6.329576921463013, + "epoch": 1.27029752899647, + "grad_norm": 1.03125, + "learning_rate": 0.0004990624497635152, + "loss": 5.9701, + "mean_token_accuracy": 0.12633612081408502, + "num_tokens": 2777079.0, + "step": 1260 + }, + { + "entropy": 6.188473510742187, + "epoch": 1.275340393343419, + "grad_norm": 1.1171875, + "learning_rate": 0.000499025927896206, + "loss": 5.9974, + "mean_token_accuracy": 0.1308589056134224, + "num_tokens": 2788789.0, + "step": 1265 + }, + { + "entropy": 6.341365766525269, + "epoch": 1.2803832576903682, + "grad_norm": 1.015625, + "learning_rate": 0.0004989887097511451, + "loss": 6.0693, + "mean_token_accuracy": 0.12354071140289306, + "num_tokens": 2801587.0, + "step": 1270 + }, + { + "entropy": 6.293736124038697, + "epoch": 1.2854261220373173, + "grad_norm": 1.0859375, + "learning_rate": 0.0004989507954440074, + "loss": 5.9865, + "mean_token_accuracy": 0.12447015196084976, + "num_tokens": 2812027.0, + "step": 1275 + }, + { + "entropy": 6.10911865234375, + "epoch": 1.2904689863842662, + "grad_norm": 1.0546875, + "learning_rate": 0.0004989121850926313, + "loss": 5.9818, + "mean_token_accuracy": 0.128651275485754, + "num_tokens": 2823791.0, + "step": 1280 + }, + { + "entropy": 6.327929878234864, + "epoch": 1.2955118507312153, + "grad_norm": 1.046875, + "learning_rate": 0.0004988728788170188, + "loss": 6.0357, + "mean_token_accuracy": 0.12696870118379594, + "num_tokens": 2835015.0, + "step": 1285 + }, + { + "entropy": 6.332037115097046, + "epoch": 1.3005547150781644, + "grad_norm": 1.234375, + "learning_rate": 0.0004988328767393346, + "loss": 5.9923, + "mean_token_accuracy": 0.12338553890585899, + "num_tokens": 2846078.0, + "step": 1290 + }, + { + "entropy": 6.206235599517822, + "epoch": 1.3055975794251133, + "grad_norm": 0.96875, + "learning_rate": 0.0004987921789839061, + "loss": 5.9602, + "mean_token_accuracy": 0.13209799453616142, + "num_tokens": 2856168.0, + "step": 1295 + }, + { + "entropy": 6.26894588470459, + "epoch": 1.3106404437720625, + "grad_norm": 0.9375, + "learning_rate": 0.0004987507856772229, + "loss": 6.0354, + "mean_token_accuracy": 0.1287067450582981, + "num_tokens": 2868258.0, + "step": 1300 + }, + { + "entropy": 6.223844909667969, + "epoch": 1.3156833081190116, + "grad_norm": 1.015625, + "learning_rate": 0.0004987086969479364, + "loss": 5.9567, + "mean_token_accuracy": 0.12373382598161697, + "num_tokens": 2879202.0, + "step": 1305 + }, + { + "entropy": 6.128959083557129, + "epoch": 1.3207261724659607, + "grad_norm": 0.9453125, + "learning_rate": 0.0004986659129268592, + "loss": 5.9066, + "mean_token_accuracy": 0.13103111013770102, + "num_tokens": 2890669.0, + "step": 1310 + }, + { + "entropy": 6.189808559417725, + "epoch": 1.3257690368129098, + "grad_norm": 0.94921875, + "learning_rate": 0.0004986224337469652, + "loss": 5.9354, + "mean_token_accuracy": 0.12434953525662422, + "num_tokens": 2900799.0, + "step": 1315 + }, + { + "entropy": 6.236221122741699, + "epoch": 1.330811901159859, + "grad_norm": 1.0, + "learning_rate": 0.0004985782595433886, + "loss": 6.042, + "mean_token_accuracy": 0.12363123670220375, + "num_tokens": 2913166.0, + "step": 1320 + }, + { + "entropy": 6.242849397659302, + "epoch": 1.3358547655068078, + "grad_norm": 1.0859375, + "learning_rate": 0.0004985333904534237, + "loss": 6.0172, + "mean_token_accuracy": 0.1291557051241398, + "num_tokens": 2924750.0, + "step": 1325 + }, + { + "entropy": 6.271391916275024, + "epoch": 1.340897629853757, + "grad_norm": 1.0234375, + "learning_rate": 0.000498487826616525, + "loss": 5.9567, + "mean_token_accuracy": 0.1324070945382118, + "num_tokens": 2935343.0, + "step": 1330 + }, + { + "entropy": 6.224100351333618, + "epoch": 1.345940494200706, + "grad_norm": 0.9921875, + "learning_rate": 0.0004984415681743056, + "loss": 5.9579, + "mean_token_accuracy": 0.13276781067252158, + "num_tokens": 2945420.0, + "step": 1335 + }, + { + "entropy": 6.310044288635254, + "epoch": 1.350983358547655, + "grad_norm": 1.21875, + "learning_rate": 0.0004983946152705382, + "loss": 6.0671, + "mean_token_accuracy": 0.1256522938609123, + "num_tokens": 2955580.0, + "step": 1340 + }, + { + "entropy": 6.282643127441406, + "epoch": 1.356026222894604, + "grad_norm": 1.0390625, + "learning_rate": 0.0004983469680511531, + "loss": 5.9195, + "mean_token_accuracy": 0.13628479614853858, + "num_tokens": 2966192.0, + "step": 1345 + }, + { + "entropy": 6.144649648666382, + "epoch": 1.3610690872415532, + "grad_norm": 1.03125, + "learning_rate": 0.0004982986266642393, + "loss": 5.9084, + "mean_token_accuracy": 0.12781317979097367, + "num_tokens": 2976715.0, + "step": 1350 + }, + { + "entropy": 6.261746740341186, + "epoch": 1.3661119515885023, + "grad_norm": 0.9921875, + "learning_rate": 0.0004982495912600426, + "loss": 6.0509, + "mean_token_accuracy": 0.12088210582733154, + "num_tokens": 2987763.0, + "step": 1355 + }, + { + "entropy": 6.208369159698487, + "epoch": 1.3711548159354514, + "grad_norm": 0.984375, + "learning_rate": 0.0004981998619909664, + "loss": 5.8525, + "mean_token_accuracy": 0.13546379208564757, + "num_tokens": 2998518.0, + "step": 1360 + }, + { + "entropy": 6.262377691268921, + "epoch": 1.3761976802824005, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981494390115704, + "loss": 6.0739, + "mean_token_accuracy": 0.13269724696874619, + "num_tokens": 3008953.0, + "step": 1365 + }, + { + "entropy": 6.125183010101319, + "epoch": 1.3812405446293494, + "grad_norm": 1.1015625, + "learning_rate": 0.0004980983224785704, + "loss": 5.92, + "mean_token_accuracy": 0.13169071897864343, + "num_tokens": 3018763.0, + "step": 1370 + }, + { + "entropy": 6.243589067459107, + "epoch": 1.3862834089762985, + "grad_norm": 0.953125, + "learning_rate": 0.0004980465125508376, + "loss": 6.0157, + "mean_token_accuracy": 0.12686386331915855, + "num_tokens": 3030061.0, + "step": 1375 + }, + { + "entropy": 6.161712503433227, + "epoch": 1.3913262733232477, + "grad_norm": 1.078125, + "learning_rate": 0.0004979940093893986, + "loss": 5.9565, + "mean_token_accuracy": 0.12839753404259682, + "num_tokens": 3040646.0, + "step": 1380 + }, + { + "entropy": 6.308729410171509, + "epoch": 1.3963691376701965, + "grad_norm": 1.2890625, + "learning_rate": 0.0004979408131574345, + "loss": 6.0451, + "mean_token_accuracy": 0.12857256084680557, + "num_tokens": 3051470.0, + "step": 1385 + }, + { + "entropy": 6.198573255538941, + "epoch": 1.4014120020171457, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978869240202802, + "loss": 6.0424, + "mean_token_accuracy": 0.12916125878691673, + "num_tokens": 3063539.0, + "step": 1390 + }, + { + "entropy": 6.217213916778564, + "epoch": 1.4064548663640948, + "grad_norm": 1.078125, + "learning_rate": 0.0004978323421454246, + "loss": 5.8652, + "mean_token_accuracy": 0.12893132865428925, + "num_tokens": 3073945.0, + "step": 1395 + }, + { + "entropy": 6.17272982597351, + "epoch": 1.411497730711044, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977770677025092, + "loss": 5.9556, + "mean_token_accuracy": 0.12694748416543006, + "num_tokens": 3085276.0, + "step": 1400 + }, + { + "entropy": 6.168652772903442, + "epoch": 1.416540595057993, + "grad_norm": 1.0390625, + "learning_rate": 0.0004977211008633284, + "loss": 5.974, + "mean_token_accuracy": 0.1286464363336563, + "num_tokens": 3097599.0, + "step": 1405 + }, + { + "entropy": 6.152103853225708, + "epoch": 1.4215834594049421, + "grad_norm": 0.921875, + "learning_rate": 0.0004976644418018285, + "loss": 5.9146, + "mean_token_accuracy": 0.1416459374129772, + "num_tokens": 3109536.0, + "step": 1410 + }, + { + "entropy": 6.224145460128784, + "epoch": 1.426626323751891, + "grad_norm": 1.15625, + "learning_rate": 0.000497607090694107, + "loss": 5.8913, + "mean_token_accuracy": 0.1341511972248554, + "num_tokens": 3119178.0, + "step": 1415 + }, + { + "entropy": 6.119580841064453, + "epoch": 1.4316691880988401, + "grad_norm": 1.0078125, + "learning_rate": 0.0004975490477184126, + "loss": 5.9717, + "mean_token_accuracy": 0.12969112098217012, + "num_tokens": 3131183.0, + "step": 1420 + }, + { + "entropy": 6.23134126663208, + "epoch": 1.4367120524457893, + "grad_norm": 1.109375, + "learning_rate": 0.000497490313055144, + "loss": 5.9428, + "mean_token_accuracy": 0.13121251612901688, + "num_tokens": 3142038.0, + "step": 1425 + }, + { + "entropy": 6.12155122756958, + "epoch": 1.4417549167927382, + "grad_norm": 1.0625, + "learning_rate": 0.0004974308868868501, + "loss": 5.9582, + "mean_token_accuracy": 0.1304076172411442, + "num_tokens": 3152878.0, + "step": 1430 + }, + { + "entropy": 6.24698657989502, + "epoch": 1.4467977811396873, + "grad_norm": 0.9296875, + "learning_rate": 0.0004973707693982287, + "loss": 5.9284, + "mean_token_accuracy": 0.13284528702497483, + "num_tokens": 3165485.0, + "step": 1435 + }, + { + "entropy": 6.169107341766358, + "epoch": 1.4518406454866364, + "grad_norm": 1.0234375, + "learning_rate": 0.0004973099607761264, + "loss": 5.9444, + "mean_token_accuracy": 0.1265783950686455, + "num_tokens": 3175134.0, + "step": 1440 + }, + { + "entropy": 6.165101671218872, + "epoch": 1.4568835098335855, + "grad_norm": 0.9609375, + "learning_rate": 0.0004972484612095378, + "loss": 5.9255, + "mean_token_accuracy": 0.1292041137814522, + "num_tokens": 3185319.0, + "step": 1445 + }, + { + "entropy": 6.138285732269287, + "epoch": 1.4619263741805346, + "grad_norm": 1.078125, + "learning_rate": 0.000497186270889605, + "loss": 6.0183, + "mean_token_accuracy": 0.13033954948186874, + "num_tokens": 3196427.0, + "step": 1450 + }, + { + "entropy": 6.190555095672607, + "epoch": 1.4669692385274837, + "grad_norm": 0.9375, + "learning_rate": 0.0004971233900096169, + "loss": 5.9092, + "mean_token_accuracy": 0.13712915629148484, + "num_tokens": 3207233.0, + "step": 1455 + }, + { + "entropy": 6.175220775604248, + "epoch": 1.4720121028744326, + "grad_norm": 1.0234375, + "learning_rate": 0.0004970598187650085, + "loss": 5.937, + "mean_token_accuracy": 0.12608329206705093, + "num_tokens": 3217999.0, + "step": 1460 + }, + { + "entropy": 6.170501661300659, + "epoch": 1.4770549672213817, + "grad_norm": 1.125, + "learning_rate": 0.000496995557353361, + "loss": 5.9915, + "mean_token_accuracy": 0.12114647999405861, + "num_tokens": 3228965.0, + "step": 1465 + }, + { + "entropy": 6.154280710220337, + "epoch": 1.4820978315683309, + "grad_norm": 0.9375, + "learning_rate": 0.0004969306059744004, + "loss": 5.9169, + "mean_token_accuracy": 0.13613021969795228, + "num_tokens": 3239960.0, + "step": 1470 + }, + { + "entropy": 6.200178766250611, + "epoch": 1.4871406959152798, + "grad_norm": 1.2734375, + "learning_rate": 0.0004968649648299968, + "loss": 5.9223, + "mean_token_accuracy": 0.12361980378627777, + "num_tokens": 3249250.0, + "step": 1475 + }, + { + "entropy": 6.096926069259643, + "epoch": 1.4921835602622289, + "grad_norm": 0.95703125, + "learning_rate": 0.0004967986341241646, + "loss": 5.966, + "mean_token_accuracy": 0.12727833837270736, + "num_tokens": 3260936.0, + "step": 1480 + }, + { + "entropy": 6.113045310974121, + "epoch": 1.497226424609178, + "grad_norm": 0.96875, + "learning_rate": 0.0004967316140630611, + "loss": 5.783, + "mean_token_accuracy": 0.1374378450214863, + "num_tokens": 3271571.0, + "step": 1485 + }, + { + "entropy": 6.131659078598022, + "epoch": 1.502269288956127, + "grad_norm": 0.96484375, + "learning_rate": 0.0004966639048549862, + "loss": 5.9085, + "mean_token_accuracy": 0.13167561665177346, + "num_tokens": 3282216.0, + "step": 1490 + }, + { + "entropy": 6.030834054946899, + "epoch": 1.5073121533030762, + "grad_norm": 0.91796875, + "learning_rate": 0.0004965955067103816, + "loss": 5.8573, + "mean_token_accuracy": 0.13101960197091103, + "num_tokens": 3293791.0, + "step": 1495 + }, + { + "entropy": 6.221430778503418, + "epoch": 1.5123550176500253, + "grad_norm": 0.94921875, + "learning_rate": 0.0004965264198418305, + "loss": 5.8628, + "mean_token_accuracy": 0.13768607452511789, + "num_tokens": 3304260.0, + "step": 1500 + }, + { + "entropy": 6.028321027755737, + "epoch": 1.5173978819969742, + "grad_norm": 0.93359375, + "learning_rate": 0.0004964566444640564, + "loss": 5.8848, + "mean_token_accuracy": 0.13266941159963608, + "num_tokens": 3315882.0, + "step": 1505 + }, + { + "entropy": 6.226700925827027, + "epoch": 1.5224407463439233, + "grad_norm": 1.078125, + "learning_rate": 0.0004963861807939227, + "loss": 5.8893, + "mean_token_accuracy": 0.12964478880167007, + "num_tokens": 3326649.0, + "step": 1510 + }, + { + "entropy": 6.0752287864685055, + "epoch": 1.5274836106908725, + "grad_norm": 0.921875, + "learning_rate": 0.0004963150290504321, + "loss": 5.9676, + "mean_token_accuracy": 0.1294805459678173, + "num_tokens": 3338670.0, + "step": 1515 + }, + { + "entropy": 6.241375064849853, + "epoch": 1.5325264750378214, + "grad_norm": 0.84765625, + "learning_rate": 0.0004962431894547259, + "loss": 6.0023, + "mean_token_accuracy": 0.1268956780433655, + "num_tokens": 3350360.0, + "step": 1520 + }, + { + "entropy": 6.096974945068359, + "epoch": 1.5375693393847705, + "grad_norm": 0.91796875, + "learning_rate": 0.0004961706622300834, + "loss": 5.8394, + "mean_token_accuracy": 0.1453121781349182, + "num_tokens": 3360647.0, + "step": 1525 + }, + { + "entropy": 6.069055509567261, + "epoch": 1.5426122037317196, + "grad_norm": 1.09375, + "learning_rate": 0.0004960974476019206, + "loss": 5.9402, + "mean_token_accuracy": 0.13708192557096482, + "num_tokens": 3371153.0, + "step": 1530 + }, + { + "entropy": 6.1496970653533936, + "epoch": 1.5476550680786687, + "grad_norm": 0.92578125, + "learning_rate": 0.0004960235457977905, + "loss": 5.9111, + "mean_token_accuracy": 0.13489063307642937, + "num_tokens": 3382027.0, + "step": 1535 + }, + { + "entropy": 6.172466611862182, + "epoch": 1.5526979324256178, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959489570473814, + "loss": 5.8597, + "mean_token_accuracy": 0.13355688229203225, + "num_tokens": 3393122.0, + "step": 1540 + }, + { + "entropy": 6.046972990036011, + "epoch": 1.557740796772567, + "grad_norm": 1.0078125, + "learning_rate": 0.000495873681582517, + "loss": 5.8587, + "mean_token_accuracy": 0.12852961122989653, + "num_tokens": 3403992.0, + "step": 1545 + }, + { + "entropy": 6.234967470169067, + "epoch": 1.5627836611195158, + "grad_norm": 0.9453125, + "learning_rate": 0.0004957977196371552, + "loss": 5.9556, + "mean_token_accuracy": 0.13196602687239647, + "num_tokens": 3415375.0, + "step": 1550 + }, + { + "entropy": 6.225420665740967, + "epoch": 1.567826525466465, + "grad_norm": 0.96875, + "learning_rate": 0.0004957210714473873, + "loss": 5.9751, + "mean_token_accuracy": 0.12916150763630868, + "num_tokens": 3426670.0, + "step": 1555 + }, + { + "entropy": 6.183484077453613, + "epoch": 1.572869389813414, + "grad_norm": 1.015625, + "learning_rate": 0.0004956437372514378, + "loss": 5.9456, + "mean_token_accuracy": 0.12805879786610602, + "num_tokens": 3438262.0, + "step": 1560 + }, + { + "entropy": 6.1148802757263185, + "epoch": 1.577912254160363, + "grad_norm": 0.94921875, + "learning_rate": 0.0004955657172896631, + "loss": 5.9104, + "mean_token_accuracy": 0.13370768427848817, + "num_tokens": 3451442.0, + "step": 1565 + }, + { + "entropy": 6.0889012813568115, + "epoch": 1.582955118507312, + "grad_norm": 0.953125, + "learning_rate": 0.0004954870118045511, + "loss": 5.8541, + "mean_token_accuracy": 0.1385216996073723, + "num_tokens": 3462022.0, + "step": 1570 + }, + { + "entropy": 6.082703638076782, + "epoch": 1.5879979828542612, + "grad_norm": 1.046875, + "learning_rate": 0.0004954076210407203, + "loss": 5.8538, + "mean_token_accuracy": 0.12839669212698937, + "num_tokens": 3472777.0, + "step": 1575 + }, + { + "entropy": 6.127910327911377, + "epoch": 1.5930408472012103, + "grad_norm": 0.92578125, + "learning_rate": 0.0004953275452449188, + "loss": 5.8214, + "mean_token_accuracy": 0.13631626442074776, + "num_tokens": 3482946.0, + "step": 1580 + }, + { + "entropy": 6.027885484695434, + "epoch": 1.5980837115481594, + "grad_norm": 0.8515625, + "learning_rate": 0.0004952467846660243, + "loss": 5.868, + "mean_token_accuracy": 0.1314691998064518, + "num_tokens": 3493930.0, + "step": 1585 + }, + { + "entropy": 6.154941272735596, + "epoch": 1.6031265758951085, + "grad_norm": 0.96875, + "learning_rate": 0.0004951653395550423, + "loss": 5.9423, + "mean_token_accuracy": 0.13613177239894866, + "num_tokens": 3506139.0, + "step": 1590 + }, + { + "entropy": 6.081747388839721, + "epoch": 1.6081694402420574, + "grad_norm": 1.0390625, + "learning_rate": 0.0004950832101651062, + "loss": 5.8018, + "mean_token_accuracy": 0.13648922890424728, + "num_tokens": 3516844.0, + "step": 1595 + }, + { + "entropy": 6.068617916107177, + "epoch": 1.6132123045890066, + "grad_norm": 1.0625, + "learning_rate": 0.0004950003967514762, + "loss": 5.8668, + "mean_token_accuracy": 0.13571436777710916, + "num_tokens": 3526815.0, + "step": 1600 + }, + { + "entropy": 6.036658430099488, + "epoch": 1.6182551689359557, + "grad_norm": 0.92578125, + "learning_rate": 0.000494916899571538, + "loss": 5.8299, + "mean_token_accuracy": 0.13820403814315796, + "num_tokens": 3538041.0, + "step": 1605 + }, + { + "entropy": 6.102004766464233, + "epoch": 1.6232980332829046, + "grad_norm": 0.95703125, + "learning_rate": 0.0004948327188848029, + "loss": 5.8495, + "mean_token_accuracy": 0.1341189369559288, + "num_tokens": 3549359.0, + "step": 1610 + }, + { + "entropy": 6.0633875846862795, + "epoch": 1.6283408976298537, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947478549529065, + "loss": 5.8386, + "mean_token_accuracy": 0.13996319174766542, + "num_tokens": 3561902.0, + "step": 1615 + }, + { + "entropy": 6.0684449672698975, + "epoch": 1.6333837619768028, + "grad_norm": 0.93359375, + "learning_rate": 0.0004946623080396077, + "loss": 5.8825, + "mean_token_accuracy": 0.13902646601200103, + "num_tokens": 3572584.0, + "step": 1620 + }, + { + "entropy": 6.17164568901062, + "epoch": 1.638426626323752, + "grad_norm": 1.03125, + "learning_rate": 0.0004945760784107884, + "loss": 5.8355, + "mean_token_accuracy": 0.1415456347167492, + "num_tokens": 3582635.0, + "step": 1625 + }, + { + "entropy": 6.022398376464844, + "epoch": 1.643469490670701, + "grad_norm": 0.98828125, + "learning_rate": 0.0004944891663344522, + "loss": 5.8669, + "mean_token_accuracy": 0.1371048003435135, + "num_tokens": 3594140.0, + "step": 1630 + }, + { + "entropy": 6.008963584899902, + "epoch": 1.6485123550176501, + "grad_norm": 0.890625, + "learning_rate": 0.0004944015720807239, + "loss": 5.7912, + "mean_token_accuracy": 0.1387906551361084, + "num_tokens": 3605748.0, + "step": 1635 + }, + { + "entropy": 6.025937128067016, + "epoch": 1.653555219364599, + "grad_norm": 0.9921875, + "learning_rate": 0.0004943132959218484, + "loss": 5.9483, + "mean_token_accuracy": 0.13064202591776847, + "num_tokens": 3618304.0, + "step": 1640 + }, + { + "entropy": 6.2111304759979244, + "epoch": 1.6585980837115482, + "grad_norm": 1.078125, + "learning_rate": 0.00049422433813219, + "loss": 5.8929, + "mean_token_accuracy": 0.13720419406890869, + "num_tokens": 3630708.0, + "step": 1645 + }, + { + "entropy": 6.045804977416992, + "epoch": 1.6636409480584973, + "grad_norm": 0.99609375, + "learning_rate": 0.0004941346989882318, + "loss": 5.8532, + "mean_token_accuracy": 0.12697262912988663, + "num_tokens": 3643188.0, + "step": 1650 + }, + { + "entropy": 5.9926165580749515, + "epoch": 1.6686838124054462, + "grad_norm": 1.09375, + "learning_rate": 0.0004940443787685739, + "loss": 5.7436, + "mean_token_accuracy": 0.14092481806874274, + "num_tokens": 3653491.0, + "step": 1655 + }, + { + "entropy": 6.0171300888061525, + "epoch": 1.6737266767523953, + "grad_norm": 0.98828125, + "learning_rate": 0.0004939533777539341, + "loss": 5.7437, + "mean_token_accuracy": 0.1434481054544449, + "num_tokens": 3663695.0, + "step": 1660 + }, + { + "entropy": 6.129909181594849, + "epoch": 1.6787695410993444, + "grad_norm": 1.0234375, + "learning_rate": 0.0004938616962271453, + "loss": 5.9507, + "mean_token_accuracy": 0.13342082649469375, + "num_tokens": 3674093.0, + "step": 1665 + }, + { + "entropy": 6.03012490272522, + "epoch": 1.6838124054462935, + "grad_norm": 0.953125, + "learning_rate": 0.0004937693344731561, + "loss": 5.8814, + "mean_token_accuracy": 0.13591884672641755, + "num_tokens": 3685362.0, + "step": 1670 + }, + { + "entropy": 6.124035739898682, + "epoch": 1.6888552697932426, + "grad_norm": 0.94921875, + "learning_rate": 0.0004936762927790286, + "loss": 5.8948, + "mean_token_accuracy": 0.13367810025811194, + "num_tokens": 3695963.0, + "step": 1675 + }, + { + "entropy": 6.061925315856934, + "epoch": 1.6938981341401917, + "grad_norm": 1.0390625, + "learning_rate": 0.0004935825714339389, + "loss": 5.8475, + "mean_token_accuracy": 0.1323956087231636, + "num_tokens": 3706805.0, + "step": 1680 + }, + { + "entropy": 6.1440023422241214, + "epoch": 1.6989409984871406, + "grad_norm": 0.8671875, + "learning_rate": 0.0004934881707291748, + "loss": 5.9564, + "mean_token_accuracy": 0.1275752753019333, + "num_tokens": 3718822.0, + "step": 1685 + }, + { + "entropy": 6.037684059143066, + "epoch": 1.7039838628340898, + "grad_norm": 0.984375, + "learning_rate": 0.0004933930909581362, + "loss": 5.9123, + "mean_token_accuracy": 0.1372961588203907, + "num_tokens": 3730170.0, + "step": 1690 + }, + { + "entropy": 6.153582143783569, + "epoch": 1.7090267271810389, + "grad_norm": 0.91796875, + "learning_rate": 0.0004932973324163328, + "loss": 5.8998, + "mean_token_accuracy": 0.1329277604818344, + "num_tokens": 3741293.0, + "step": 1695 + }, + { + "entropy": 6.102115774154663, + "epoch": 1.7140695915279878, + "grad_norm": 1.1875, + "learning_rate": 0.0004932008954013846, + "loss": 5.8938, + "mean_token_accuracy": 0.12907072007656098, + "num_tokens": 3753521.0, + "step": 1700 + }, + { + "entropy": 6.104592990875244, + "epoch": 1.7191124558749369, + "grad_norm": 1.03125, + "learning_rate": 0.0004931037802130201, + "loss": 5.8856, + "mean_token_accuracy": 0.13684083744883538, + "num_tokens": 3765767.0, + "step": 1705 + }, + { + "entropy": 6.118759346008301, + "epoch": 1.724155320221886, + "grad_norm": 1.1484375, + "learning_rate": 0.0004930059871530755, + "loss": 5.8635, + "mean_token_accuracy": 0.1346114307641983, + "num_tokens": 3776330.0, + "step": 1710 + }, + { + "entropy": 6.085878133773804, + "epoch": 1.7291981845688351, + "grad_norm": 1.046875, + "learning_rate": 0.0004929075165254938, + "loss": 5.8594, + "mean_token_accuracy": 0.1392315737903118, + "num_tokens": 3786937.0, + "step": 1715 + }, + { + "entropy": 6.036421394348144, + "epoch": 1.7342410489157842, + "grad_norm": 1.015625, + "learning_rate": 0.0004928083686363241, + "loss": 5.8928, + "mean_token_accuracy": 0.1338902086019516, + "num_tokens": 3798546.0, + "step": 1720 + }, + { + "entropy": 6.0134021759033205, + "epoch": 1.7392839132627333, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927085437937204, + "loss": 5.827, + "mean_token_accuracy": 0.13127774894237518, + "num_tokens": 3809893.0, + "step": 1725 + }, + { + "entropy": 6.0413683414459225, + "epoch": 1.7443267776096822, + "grad_norm": 1.109375, + "learning_rate": 0.0004926080423079404, + "loss": 5.8463, + "mean_token_accuracy": 0.13201947510242462, + "num_tokens": 3820570.0, + "step": 1730 + }, + { + "entropy": 6.060141515731812, + "epoch": 1.7493696419566314, + "grad_norm": 0.9375, + "learning_rate": 0.000492506864491345, + "loss": 5.8983, + "mean_token_accuracy": 0.134102962911129, + "num_tokens": 3833048.0, + "step": 1735 + }, + { + "entropy": 6.1224559307098385, + "epoch": 1.7544125063035805, + "grad_norm": 1.0078125, + "learning_rate": 0.0004924050106583976, + "loss": 5.848, + "mean_token_accuracy": 0.13240425437688827, + "num_tokens": 3844375.0, + "step": 1740 + }, + { + "entropy": 6.000351428985596, + "epoch": 1.7594553706505294, + "grad_norm": 0.9140625, + "learning_rate": 0.0004923024811256618, + "loss": 5.7444, + "mean_token_accuracy": 0.14447227269411086, + "num_tokens": 3855103.0, + "step": 1745 + }, + { + "entropy": 6.04535436630249, + "epoch": 1.7644982349974785, + "grad_norm": 0.95703125, + "learning_rate": 0.000492199276211802, + "loss": 5.7888, + "mean_token_accuracy": 0.13837607055902482, + "num_tokens": 3865303.0, + "step": 1750 + }, + { + "entropy": 5.979665994644165, + "epoch": 1.7695410993444276, + "grad_norm": 0.84375, + "learning_rate": 0.0004920953962375813, + "loss": 5.865, + "mean_token_accuracy": 0.13156018555164337, + "num_tokens": 3877344.0, + "step": 1755 + }, + { + "entropy": 6.087999963760376, + "epoch": 1.7745839636913767, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919908415258612, + "loss": 5.8169, + "mean_token_accuracy": 0.1383423887193203, + "num_tokens": 3887471.0, + "step": 1760 + }, + { + "entropy": 5.955911159515381, + "epoch": 1.7796268280383258, + "grad_norm": 0.953125, + "learning_rate": 0.0004918856124016002, + "loss": 5.7542, + "mean_token_accuracy": 0.14216471314430237, + "num_tokens": 3898486.0, + "step": 1765 + }, + { + "entropy": 6.015568399429322, + "epoch": 1.784669692385275, + "grad_norm": 1.0078125, + "learning_rate": 0.0004917797091918526, + "loss": 5.8663, + "mean_token_accuracy": 0.1332813784480095, + "num_tokens": 3909864.0, + "step": 1770 + }, + { + "entropy": 6.135464429855347, + "epoch": 1.789712556732224, + "grad_norm": 1.09375, + "learning_rate": 0.0004916731322257683, + "loss": 5.9511, + "mean_token_accuracy": 0.1283704347908497, + "num_tokens": 3921308.0, + "step": 1775 + }, + { + "entropy": 6.080710220336914, + "epoch": 1.794755421079173, + "grad_norm": 1.03125, + "learning_rate": 0.0004915658818345908, + "loss": 5.7877, + "mean_token_accuracy": 0.14001286923885345, + "num_tokens": 3931469.0, + "step": 1780 + }, + { + "entropy": 5.9761453628540036, + "epoch": 1.799798285426122, + "grad_norm": 0.99609375, + "learning_rate": 0.0004914579583516568, + "loss": 5.8894, + "mean_token_accuracy": 0.12953986525535582, + "num_tokens": 3943348.0, + "step": 1785 + }, + { + "entropy": 6.1129004001617435, + "epoch": 1.804841149773071, + "grad_norm": 0.98046875, + "learning_rate": 0.000491349362112395, + "loss": 5.7944, + "mean_token_accuracy": 0.13509925082325935, + "num_tokens": 3954491.0, + "step": 1790 + }, + { + "entropy": 5.962020349502564, + "epoch": 1.80988401412002, + "grad_norm": 1.0546875, + "learning_rate": 0.000491240093454325, + "loss": 5.7359, + "mean_token_accuracy": 0.13744344264268876, + "num_tokens": 3965151.0, + "step": 1795 + }, + { + "entropy": 6.044571113586426, + "epoch": 1.8149268784669692, + "grad_norm": 1.0703125, + "learning_rate": 0.0004911301527170563, + "loss": 5.836, + "mean_token_accuracy": 0.13276761174201965, + "num_tokens": 3975482.0, + "step": 1800 + }, + { + "entropy": 6.018252897262573, + "epoch": 1.8199697428139183, + "grad_norm": 1.046875, + "learning_rate": 0.0004910195402422873, + "loss": 5.8106, + "mean_token_accuracy": 0.1397517703473568, + "num_tokens": 3985295.0, + "step": 1805 + }, + { + "entropy": 5.990886116027832, + "epoch": 1.8250126071608674, + "grad_norm": 0.8828125, + "learning_rate": 0.0004909082563738042, + "loss": 5.8606, + "mean_token_accuracy": 0.13000920787453651, + "num_tokens": 3997058.0, + "step": 1810 + }, + { + "entropy": 6.049672079086304, + "epoch": 1.8300554715078166, + "grad_norm": 0.984375, + "learning_rate": 0.0004907963014574797, + "loss": 5.8038, + "mean_token_accuracy": 0.13595991358160972, + "num_tokens": 4008224.0, + "step": 1815 + }, + { + "entropy": 5.9268725395202635, + "epoch": 1.8350983358547657, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906836758412722, + "loss": 5.7439, + "mean_token_accuracy": 0.13537646234035491, + "num_tokens": 4019264.0, + "step": 1820 + }, + { + "entropy": 6.027598571777344, + "epoch": 1.8401412002017146, + "grad_norm": 0.92578125, + "learning_rate": 0.0004905703798752248, + "loss": 5.8024, + "mean_token_accuracy": 0.1361069694161415, + "num_tokens": 4031974.0, + "step": 1825 + }, + { + "entropy": 5.995775747299194, + "epoch": 1.8451840645486637, + "grad_norm": 1.0, + "learning_rate": 0.000490456413911464, + "loss": 5.8282, + "mean_token_accuracy": 0.1380675122141838, + "num_tokens": 4042023.0, + "step": 1830 + }, + { + "entropy": 6.093371391296387, + "epoch": 1.8502269288956126, + "grad_norm": 0.91796875, + "learning_rate": 0.0004903417783041987, + "loss": 5.8488, + "mean_token_accuracy": 0.13388717770576478, + "num_tokens": 4053488.0, + "step": 1835 + }, + { + "entropy": 5.997908878326416, + "epoch": 1.8552697932425617, + "grad_norm": 1.015625, + "learning_rate": 0.0004902264734097188, + "loss": 5.7, + "mean_token_accuracy": 0.1459822252392769, + "num_tokens": 4063576.0, + "step": 1840 + }, + { + "entropy": 5.934653806686401, + "epoch": 1.8603126575895108, + "grad_norm": 1.078125, + "learning_rate": 0.0004901104995863948, + "loss": 5.7515, + "mean_token_accuracy": 0.13665405064821243, + "num_tokens": 4073767.0, + "step": 1845 + }, + { + "entropy": 6.051873254776001, + "epoch": 1.86535552193646, + "grad_norm": 0.93359375, + "learning_rate": 0.0004899938571946759, + "loss": 5.8895, + "mean_token_accuracy": 0.13628361895680427, + "num_tokens": 4086112.0, + "step": 1850 + }, + { + "entropy": 6.005042839050293, + "epoch": 1.870398386283409, + "grad_norm": 1.0625, + "learning_rate": 0.0004898765465970894, + "loss": 5.7576, + "mean_token_accuracy": 0.13836311623454095, + "num_tokens": 4097172.0, + "step": 1855 + }, + { + "entropy": 5.969844341278076, + "epoch": 1.8754412506303582, + "grad_norm": 1.09375, + "learning_rate": 0.0004897585681582393, + "loss": 5.7747, + "mean_token_accuracy": 0.13562445044517518, + "num_tokens": 4108034.0, + "step": 1860 + }, + { + "entropy": 6.010134601593018, + "epoch": 1.8804841149773073, + "grad_norm": 1.0234375, + "learning_rate": 0.0004896399222448053, + "loss": 5.9158, + "mean_token_accuracy": 0.13355276435613633, + "num_tokens": 4118787.0, + "step": 1865 + }, + { + "entropy": 6.114977502822876, + "epoch": 1.8855269793242562, + "grad_norm": 1.0859375, + "learning_rate": 0.0004895206092255417, + "loss": 5.855, + "mean_token_accuracy": 0.13844020664691925, + "num_tokens": 4129427.0, + "step": 1870 + }, + { + "entropy": 5.920868730545044, + "epoch": 1.8905698436712053, + "grad_norm": 0.92578125, + "learning_rate": 0.0004894006294712761, + "loss": 5.746, + "mean_token_accuracy": 0.140569781512022, + "num_tokens": 4139750.0, + "step": 1875 + }, + { + "entropy": 6.022733497619629, + "epoch": 1.8956127080181542, + "grad_norm": 1.0390625, + "learning_rate": 0.0004892799833549083, + "loss": 5.8036, + "mean_token_accuracy": 0.13444036543369292, + "num_tokens": 4150966.0, + "step": 1880 + }, + { + "entropy": 6.029891872406006, + "epoch": 1.9006555723651033, + "grad_norm": 0.95703125, + "learning_rate": 0.0004891586712514091, + "loss": 5.8361, + "mean_token_accuracy": 0.13739247769117355, + "num_tokens": 4162002.0, + "step": 1885 + }, + { + "entropy": 6.039386367797851, + "epoch": 1.9056984367120524, + "grad_norm": 0.9453125, + "learning_rate": 0.0004890366935378196, + "loss": 5.8781, + "mean_token_accuracy": 0.1344475492835045, + "num_tokens": 4173529.0, + "step": 1890 + }, + { + "entropy": 6.00244288444519, + "epoch": 1.9107413010590015, + "grad_norm": 1.0390625, + "learning_rate": 0.0004889140505932492, + "loss": 5.888, + "mean_token_accuracy": 0.13375614508986472, + "num_tokens": 4184743.0, + "step": 1895 + }, + { + "entropy": 5.995673084259034, + "epoch": 1.9157841654059506, + "grad_norm": 1.0234375, + "learning_rate": 0.0004887907427988749, + "loss": 5.7513, + "mean_token_accuracy": 0.1396537348628044, + "num_tokens": 4195484.0, + "step": 1900 + }, + { + "entropy": 5.967873668670654, + "epoch": 1.9208270297528998, + "grad_norm": 0.89453125, + "learning_rate": 0.0004886667705379403, + "loss": 5.8457, + "mean_token_accuracy": 0.1371358223259449, + "num_tokens": 4207564.0, + "step": 1905 + }, + { + "entropy": 5.952332258224487, + "epoch": 1.9258698940998489, + "grad_norm": 0.95703125, + "learning_rate": 0.0004885421341957541, + "loss": 5.7435, + "mean_token_accuracy": 0.13553724884986879, + "num_tokens": 4219165.0, + "step": 1910 + }, + { + "entropy": 6.005974435806275, + "epoch": 1.9309127584467978, + "grad_norm": 1.0234375, + "learning_rate": 0.0004884168341596888, + "loss": 5.8068, + "mean_token_accuracy": 0.13346681967377663, + "num_tokens": 4229444.0, + "step": 1915 + }, + { + "entropy": 5.964589071273804, + "epoch": 1.9359556227937469, + "grad_norm": 0.984375, + "learning_rate": 0.0004882908708191797, + "loss": 5.7582, + "mean_token_accuracy": 0.13898043781518937, + "num_tokens": 4240682.0, + "step": 1920 + }, + { + "entropy": 6.1030495166778564, + "epoch": 1.9409984871406958, + "grad_norm": 1.0234375, + "learning_rate": 0.00048816424456572403, + "loss": 6.0139, + "mean_token_accuracy": 0.1314317248761654, + "num_tokens": 4253469.0, + "step": 1925 + }, + { + "entropy": 6.1366808891296385, + "epoch": 1.946041351487645, + "grad_norm": 1.0078125, + "learning_rate": 0.00048803695579287905, + "loss": 5.8504, + "mean_token_accuracy": 0.13721998855471612, + "num_tokens": 4264173.0, + "step": 1930 + }, + { + "entropy": 5.989302253723144, + "epoch": 1.951084215834594, + "grad_norm": 0.87890625, + "learning_rate": 0.00048790900489626104, + "loss": 5.8217, + "mean_token_accuracy": 0.1348733127117157, + "num_tokens": 4275748.0, + "step": 1935 + }, + { + "entropy": 6.019631099700928, + "epoch": 1.9561270801815431, + "grad_norm": 1.046875, + "learning_rate": 0.0004877803922735445, + "loss": 5.7563, + "mean_token_accuracy": 0.13681667894124985, + "num_tokens": 4286624.0, + "step": 1940 + }, + { + "entropy": 5.970220470428467, + "epoch": 1.9611699445284922, + "grad_norm": 1.1640625, + "learning_rate": 0.0004876511183244603, + "loss": 5.7783, + "mean_token_accuracy": 0.13412140533328057, + "num_tokens": 4297722.0, + "step": 1945 + }, + { + "entropy": 5.989438676834107, + "epoch": 1.9662128088754414, + "grad_norm": 1.09375, + "learning_rate": 0.00048752118345079496, + "loss": 5.819, + "mean_token_accuracy": 0.1387975536286831, + "num_tokens": 4307718.0, + "step": 1950 + }, + { + "entropy": 5.997930192947388, + "epoch": 1.9712556732223905, + "grad_norm": 1.046875, + "learning_rate": 0.00048739058805638905, + "loss": 5.8094, + "mean_token_accuracy": 0.13116757497191428, + "num_tokens": 4320384.0, + "step": 1955 + }, + { + "entropy": 6.005349445343017, + "epoch": 1.9762985375693394, + "grad_norm": 0.9765625, + "learning_rate": 0.000487259332547136, + "loss": 5.7605, + "mean_token_accuracy": 0.1417269617319107, + "num_tokens": 4331300.0, + "step": 1960 + }, + { + "entropy": 5.93936595916748, + "epoch": 1.9813414019162885, + "grad_norm": 0.953125, + "learning_rate": 0.000487127417330981, + "loss": 5.7655, + "mean_token_accuracy": 0.13874521404504775, + "num_tokens": 4341678.0, + "step": 1965 + }, + { + "entropy": 6.00667085647583, + "epoch": 1.9863842662632374, + "grad_norm": 0.97265625, + "learning_rate": 0.0004869948428179196, + "loss": 5.8158, + "mean_token_accuracy": 0.1337434582412243, + "num_tokens": 4352924.0, + "step": 1970 + }, + { + "entropy": 5.990743732452392, + "epoch": 1.9914271306101865, + "grad_norm": 0.88671875, + "learning_rate": 0.0004868616094199964, + "loss": 5.7495, + "mean_token_accuracy": 0.1391561046242714, + "num_tokens": 4363133.0, + "step": 1975 + }, + { + "entropy": 6.010904788970947, + "epoch": 1.9964699949571356, + "grad_norm": 0.94921875, + "learning_rate": 0.000486727717551304, + "loss": 5.8117, + "mean_token_accuracy": 0.13316915854811667, + "num_tokens": 4376024.0, + "step": 1980 + }, + { + "entropy": 5.940850469801161, + "epoch": 2.00100857286939, + "grad_norm": 0.97265625, + "learning_rate": 0.0004865931676279813, + "loss": 5.6394, + "mean_token_accuracy": 0.14257431609763038, + "num_tokens": 4385440.0, + "step": 1985 + }, + { + "entropy": 5.965998840332031, + "epoch": 2.006051437216339, + "grad_norm": 1.296875, + "learning_rate": 0.0004864579600682125, + "loss": 5.484, + "mean_token_accuracy": 0.14857447966933252, + "num_tokens": 4397208.0, + "step": 1990 + }, + { + "entropy": 5.796861696243286, + "epoch": 2.011094301563288, + "grad_norm": 1.09375, + "learning_rate": 0.00048632209529222607, + "loss": 5.4264, + "mean_token_accuracy": 0.15789164751768112, + "num_tokens": 4406863.0, + "step": 1995 + }, + { + "entropy": 6.018551921844482, + "epoch": 2.016137165910237, + "grad_norm": 0.94921875, + "learning_rate": 0.00048618557372229253, + "loss": 5.5849, + "mean_token_accuracy": 0.14688986241817475, + "num_tokens": 4419069.0, + "step": 2000 + }, + { + "epoch": 2.016137165910237, + "eval_entropy": 5.81801115222863, + "eval_loss": 5.917318820953369, + "eval_mean_token_accuracy": 0.13670703228420883, + "eval_num_tokens": 4419069.0, + "eval_runtime": 2.0283, + "eval_samples_per_second": 1547.125, + "eval_steps_per_second": 193.76, + "step": 2000 + }, + { + "entropy": 5.943663930892944, + "epoch": 2.0211800302571863, + "grad_norm": 0.87890625, + "learning_rate": 0.0004860483957827243, + "loss": 5.5384, + "mean_token_accuracy": 0.15685443133115767, + "num_tokens": 4432237.0, + "step": 2005 + }, + { + "entropy": 5.806105899810791, + "epoch": 2.026222894604135, + "grad_norm": 1.140625, + "learning_rate": 0.0004859105618998735, + "loss": 5.4086, + "mean_token_accuracy": 0.1614102154970169, + "num_tokens": 4441256.0, + "step": 2010 + }, + { + "entropy": 5.956412267684937, + "epoch": 2.031265758951084, + "grad_norm": 1.1171875, + "learning_rate": 0.0004857720725021311, + "loss": 5.5642, + "mean_token_accuracy": 0.15119071453809738, + "num_tokens": 4452509.0, + "step": 2015 + }, + { + "entropy": 5.99310998916626, + "epoch": 2.036308623298033, + "grad_norm": 0.984375, + "learning_rate": 0.00048563292801992534, + "loss": 5.5261, + "mean_token_accuracy": 0.1501511499285698, + "num_tokens": 4464819.0, + "step": 2020 + }, + { + "entropy": 5.83888840675354, + "epoch": 2.0413514876449823, + "grad_norm": 1.09375, + "learning_rate": 0.0004854931288857203, + "loss": 5.4698, + "mean_token_accuracy": 0.15105220377445222, + "num_tokens": 4474867.0, + "step": 2025 + }, + { + "entropy": 5.885752773284912, + "epoch": 2.0463943519919314, + "grad_norm": 1.046875, + "learning_rate": 0.00048535267553401505, + "loss": 5.4419, + "mean_token_accuracy": 0.15685297697782516, + "num_tokens": 4485229.0, + "step": 2030 + }, + { + "entropy": 5.856101560592651, + "epoch": 2.0514372163388805, + "grad_norm": 1.0859375, + "learning_rate": 0.00048521156840134193, + "loss": 5.4469, + "mean_token_accuracy": 0.15147644877433777, + "num_tokens": 4496589.0, + "step": 2035 + }, + { + "entropy": 5.864161205291748, + "epoch": 2.0564800806858297, + "grad_norm": 1.234375, + "learning_rate": 0.000485069807926265, + "loss": 5.5305, + "mean_token_accuracy": 0.15417610704898835, + "num_tokens": 4508179.0, + "step": 2040 + }, + { + "entropy": 5.930064678192139, + "epoch": 2.0615229450327788, + "grad_norm": 1.0234375, + "learning_rate": 0.0004849273945493792, + "loss": 5.5212, + "mean_token_accuracy": 0.1541721999645233, + "num_tokens": 4518796.0, + "step": 2045 + }, + { + "entropy": 5.883697271347046, + "epoch": 2.066565809379728, + "grad_norm": 1.359375, + "learning_rate": 0.0004847843287133084, + "loss": 5.5185, + "mean_token_accuracy": 0.1513978511095047, + "num_tokens": 4530544.0, + "step": 2050 + }, + { + "entropy": 5.884379053115845, + "epoch": 2.0716086737266766, + "grad_norm": 0.91796875, + "learning_rate": 0.0004846406108627048, + "loss": 5.4441, + "mean_token_accuracy": 0.15471192747354506, + "num_tokens": 4541382.0, + "step": 2055 + }, + { + "entropy": 5.9226783275604244, + "epoch": 2.0766515380736257, + "grad_norm": 1.171875, + "learning_rate": 0.00048449624144424665, + "loss": 5.623, + "mean_token_accuracy": 0.1488088011741638, + "num_tokens": 4552318.0, + "step": 2060 + }, + { + "entropy": 5.879350566864014, + "epoch": 2.081694402420575, + "grad_norm": 1.0390625, + "learning_rate": 0.00048435122090663744, + "loss": 5.4473, + "mean_token_accuracy": 0.15576326847076416, + "num_tokens": 4562746.0, + "step": 2065 + }, + { + "entropy": 5.873903560638428, + "epoch": 2.086737266767524, + "grad_norm": 1.0390625, + "learning_rate": 0.00048420554970060424, + "loss": 5.5283, + "mean_token_accuracy": 0.14986108988523483, + "num_tokens": 4574635.0, + "step": 2070 + }, + { + "entropy": 5.898341703414917, + "epoch": 2.091780131114473, + "grad_norm": 1.0390625, + "learning_rate": 0.00048405922827889677, + "loss": 5.5719, + "mean_token_accuracy": 0.1513387531042099, + "num_tokens": 4584735.0, + "step": 2075 + }, + { + "entropy": 5.915944051742554, + "epoch": 2.096822995461422, + "grad_norm": 0.96875, + "learning_rate": 0.00048391225709628515, + "loss": 5.4703, + "mean_token_accuracy": 0.14948942512273788, + "num_tokens": 4596090.0, + "step": 2080 + }, + { + "entropy": 5.827583885192871, + "epoch": 2.1018658598083713, + "grad_norm": 0.94921875, + "learning_rate": 0.0004837646366095593, + "loss": 5.56, + "mean_token_accuracy": 0.15303790420293809, + "num_tokens": 4607692.0, + "step": 2085 + }, + { + "entropy": 5.810319614410401, + "epoch": 2.1069087241553204, + "grad_norm": 1.0078125, + "learning_rate": 0.00048361636727752716, + "loss": 5.4394, + "mean_token_accuracy": 0.15243404358625412, + "num_tokens": 4618319.0, + "step": 2090 + }, + { + "entropy": 5.902970266342163, + "epoch": 2.1119515885022695, + "grad_norm": 1.1484375, + "learning_rate": 0.0004834674495610131, + "loss": 5.5708, + "mean_token_accuracy": 0.15355473160743713, + "num_tokens": 4628650.0, + "step": 2095 + }, + { + "entropy": 5.942028570175171, + "epoch": 2.116994452849218, + "grad_norm": 0.9921875, + "learning_rate": 0.00048331788392285693, + "loss": 5.5637, + "mean_token_accuracy": 0.15165936648845674, + "num_tokens": 4639883.0, + "step": 2100 + }, + { + "entropy": 5.823600196838379, + "epoch": 2.1220373171961673, + "grad_norm": 1.125, + "learning_rate": 0.00048316767082791205, + "loss": 5.4434, + "mean_token_accuracy": 0.15266976952552797, + "num_tokens": 4650041.0, + "step": 2105 + }, + { + "entropy": 5.850564002990723, + "epoch": 2.1270801815431164, + "grad_norm": 1.0546875, + "learning_rate": 0.00048301681074304427, + "loss": 5.5098, + "mean_token_accuracy": 0.14926768094301224, + "num_tokens": 4661226.0, + "step": 2110 + }, + { + "entropy": 5.882189083099365, + "epoch": 2.1321230458900655, + "grad_norm": 0.9453125, + "learning_rate": 0.00048286530413713016, + "loss": 5.5996, + "mean_token_accuracy": 0.14671720415353776, + "num_tokens": 4672658.0, + "step": 2115 + }, + { + "entropy": 5.835665464401245, + "epoch": 2.1371659102370146, + "grad_norm": 0.9609375, + "learning_rate": 0.00048271315148105574, + "loss": 5.4562, + "mean_token_accuracy": 0.15615704357624055, + "num_tokens": 4683214.0, + "step": 2120 + }, + { + "entropy": 5.7868915557861325, + "epoch": 2.1422087745839637, + "grad_norm": 0.9765625, + "learning_rate": 0.000482560353247715, + "loss": 5.4983, + "mean_token_accuracy": 0.1570190817117691, + "num_tokens": 4694787.0, + "step": 2125 + }, + { + "entropy": 5.894145154953003, + "epoch": 2.147251638930913, + "grad_norm": 1.0390625, + "learning_rate": 0.0004824069099120084, + "loss": 5.4587, + "mean_token_accuracy": 0.15608564168214797, + "num_tokens": 4705827.0, + "step": 2130 + }, + { + "entropy": 5.781821918487549, + "epoch": 2.152294503277862, + "grad_norm": 0.96484375, + "learning_rate": 0.0004822528219508413, + "loss": 5.5101, + "mean_token_accuracy": 0.1537075772881508, + "num_tokens": 4717197.0, + "step": 2135 + }, + { + "entropy": 5.969233179092408, + "epoch": 2.157337367624811, + "grad_norm": 1.0234375, + "learning_rate": 0.0004820980898431227, + "loss": 5.6358, + "mean_token_accuracy": 0.15112573504447938, + "num_tokens": 4729000.0, + "step": 2140 + }, + { + "entropy": 5.8603473663330075, + "epoch": 2.1623802319717598, + "grad_norm": 1.0390625, + "learning_rate": 0.0004819427140697635, + "loss": 5.523, + "mean_token_accuracy": 0.14781847298145295, + "num_tokens": 4739999.0, + "step": 2145 + }, + { + "entropy": 5.883710241317749, + "epoch": 2.167423096318709, + "grad_norm": 0.96875, + "learning_rate": 0.0004817866951136753, + "loss": 5.5138, + "mean_token_accuracy": 0.1504565268754959, + "num_tokens": 4752461.0, + "step": 2150 + }, + { + "entropy": 5.909519195556641, + "epoch": 2.172465960665658, + "grad_norm": 1.03125, + "learning_rate": 0.00048163003345976847, + "loss": 5.5642, + "mean_token_accuracy": 0.1481477752327919, + "num_tokens": 4763114.0, + "step": 2155 + }, + { + "entropy": 5.875637865066528, + "epoch": 2.177508825012607, + "grad_norm": 1.0234375, + "learning_rate": 0.0004814727295949512, + "loss": 5.5716, + "mean_token_accuracy": 0.14529902637004852, + "num_tokens": 4773926.0, + "step": 2160 + }, + { + "entropy": 5.878474426269531, + "epoch": 2.1825516893595562, + "grad_norm": 1.015625, + "learning_rate": 0.00048131478400812735, + "loss": 5.5022, + "mean_token_accuracy": 0.15807463079690934, + "num_tokens": 4784062.0, + "step": 2165 + }, + { + "entropy": 5.951031494140625, + "epoch": 2.1875945537065054, + "grad_norm": 1.1484375, + "learning_rate": 0.0004811561971901956, + "loss": 5.4972, + "mean_token_accuracy": 0.1530397966504097, + "num_tokens": 4794763.0, + "step": 2170 + }, + { + "entropy": 5.868496370315552, + "epoch": 2.1926374180534545, + "grad_norm": 1.0703125, + "learning_rate": 0.0004809969696340474, + "loss": 5.5282, + "mean_token_accuracy": 0.15282675623893738, + "num_tokens": 4804317.0, + "step": 2175 + }, + { + "entropy": 5.7768796443939205, + "epoch": 2.1976802824004036, + "grad_norm": 1.0234375, + "learning_rate": 0.00048083710183456554, + "loss": 5.5048, + "mean_token_accuracy": 0.15021117329597472, + "num_tokens": 4816229.0, + "step": 2180 + }, + { + "entropy": 5.844064044952392, + "epoch": 2.2027231467473527, + "grad_norm": 0.92578125, + "learning_rate": 0.00048067659428862306, + "loss": 5.5178, + "mean_token_accuracy": 0.16275418549776077, + "num_tokens": 4827317.0, + "step": 2185 + }, + { + "entropy": 5.868047475814819, + "epoch": 2.2077660110943014, + "grad_norm": 1.1171875, + "learning_rate": 0.00048051544749508096, + "loss": 5.5199, + "mean_token_accuracy": 0.14801972061395646, + "num_tokens": 4838519.0, + "step": 2190 + }, + { + "entropy": 5.797014331817627, + "epoch": 2.2128088754412505, + "grad_norm": 1.140625, + "learning_rate": 0.0004803536619547872, + "loss": 5.5181, + "mean_token_accuracy": 0.15277098268270492, + "num_tokens": 4848916.0, + "step": 2195 + }, + { + "entropy": 5.953539609909058, + "epoch": 2.2178517397881996, + "grad_norm": 1.03125, + "learning_rate": 0.000480191238170575, + "loss": 5.6006, + "mean_token_accuracy": 0.14733142107725145, + "num_tokens": 4860977.0, + "step": 2200 + }, + { + "entropy": 5.769330167770386, + "epoch": 2.2228946041351487, + "grad_norm": 1.09375, + "learning_rate": 0.0004800281766472612, + "loss": 5.3685, + "mean_token_accuracy": 0.16047884821891784, + "num_tokens": 4871332.0, + "step": 2205 + }, + { + "entropy": 5.88454384803772, + "epoch": 2.227937468482098, + "grad_norm": 0.9765625, + "learning_rate": 0.00047986447789164486, + "loss": 5.581, + "mean_token_accuracy": 0.14643221944570542, + "num_tokens": 4883139.0, + "step": 2210 + }, + { + "entropy": 5.944646644592285, + "epoch": 2.232980332829047, + "grad_norm": 1.0234375, + "learning_rate": 0.0004797001424125054, + "loss": 5.5537, + "mean_token_accuracy": 0.1498621180653572, + "num_tokens": 4894892.0, + "step": 2215 + }, + { + "entropy": 5.8559250831604, + "epoch": 2.238023197175996, + "grad_norm": 1.09375, + "learning_rate": 0.00047953517072060124, + "loss": 5.5692, + "mean_token_accuracy": 0.1519879698753357, + "num_tokens": 4906059.0, + "step": 2220 + }, + { + "entropy": 5.891297197341919, + "epoch": 2.243066061522945, + "grad_norm": 1.0546875, + "learning_rate": 0.0004793695633286684, + "loss": 5.5214, + "mean_token_accuracy": 0.15420397147536277, + "num_tokens": 4917527.0, + "step": 2225 + }, + { + "entropy": 5.8056127548217775, + "epoch": 2.2481089258698943, + "grad_norm": 1.0390625, + "learning_rate": 0.00047920332075141825, + "loss": 5.4864, + "mean_token_accuracy": 0.1573357716202736, + "num_tokens": 4928502.0, + "step": 2230 + }, + { + "entropy": 5.855831098556519, + "epoch": 2.253151790216843, + "grad_norm": 1.0703125, + "learning_rate": 0.0004790364435055367, + "loss": 5.4629, + "mean_token_accuracy": 0.15087850987911225, + "num_tokens": 4938179.0, + "step": 2235 + }, + { + "entropy": 5.902001523971558, + "epoch": 2.258194654563792, + "grad_norm": 1.109375, + "learning_rate": 0.000478868932109682, + "loss": 5.5543, + "mean_token_accuracy": 0.14623372554779052, + "num_tokens": 4948979.0, + "step": 2240 + }, + { + "entropy": 5.75980167388916, + "epoch": 2.263237518910741, + "grad_norm": 1.15625, + "learning_rate": 0.0004787007870844835, + "loss": 5.4403, + "mean_token_accuracy": 0.15094903409481047, + "num_tokens": 4958459.0, + "step": 2245 + }, + { + "entropy": 5.93130464553833, + "epoch": 2.2682803832576903, + "grad_norm": 0.9375, + "learning_rate": 0.00047853200895253976, + "loss": 5.5407, + "mean_token_accuracy": 0.14569308310747148, + "num_tokens": 4970680.0, + "step": 2250 + }, + { + "entropy": 5.8348475933074955, + "epoch": 2.2733232476046394, + "grad_norm": 1.0625, + "learning_rate": 0.00047836259823841716, + "loss": 5.5944, + "mean_token_accuracy": 0.15193736106157302, + "num_tokens": 4981635.0, + "step": 2255 + }, + { + "entropy": 5.810261869430542, + "epoch": 2.2783661119515886, + "grad_norm": 1.1015625, + "learning_rate": 0.00047819255546864797, + "loss": 5.5199, + "mean_token_accuracy": 0.1543443039059639, + "num_tokens": 4992661.0, + "step": 2260 + }, + { + "entropy": 5.896259546279907, + "epoch": 2.2834089762985377, + "grad_norm": 0.9765625, + "learning_rate": 0.0004780218811717293, + "loss": 5.5618, + "mean_token_accuracy": 0.15468370020389557, + "num_tokens": 5004364.0, + "step": 2265 + }, + { + "entropy": 5.841471099853516, + "epoch": 2.288451840645487, + "grad_norm": 1.1171875, + "learning_rate": 0.00047785057587812057, + "loss": 5.5862, + "mean_token_accuracy": 0.15330396443605424, + "num_tokens": 5015575.0, + "step": 2270 + }, + { + "entropy": 5.87632269859314, + "epoch": 2.293494704992436, + "grad_norm": 0.9375, + "learning_rate": 0.00047767864012024266, + "loss": 5.5053, + "mean_token_accuracy": 0.15744749456644058, + "num_tokens": 5026984.0, + "step": 2275 + }, + { + "entropy": 5.802755498886109, + "epoch": 2.2985375693393846, + "grad_norm": 0.9921875, + "learning_rate": 0.00047750607443247585, + "loss": 5.5077, + "mean_token_accuracy": 0.146403731405735, + "num_tokens": 5039835.0, + "step": 2280 + }, + { + "entropy": 5.824838447570801, + "epoch": 2.3035804336863337, + "grad_norm": 1.0390625, + "learning_rate": 0.00047733287935115837, + "loss": 5.5635, + "mean_token_accuracy": 0.14812358915805818, + "num_tokens": 5052284.0, + "step": 2285 + }, + { + "entropy": 5.830850887298584, + "epoch": 2.308623298033283, + "grad_norm": 1.03125, + "learning_rate": 0.0004771590554145844, + "loss": 5.4697, + "mean_token_accuracy": 0.15186792463064194, + "num_tokens": 5062535.0, + "step": 2290 + }, + { + "entropy": 5.804275608062744, + "epoch": 2.313666162380232, + "grad_norm": 1.0078125, + "learning_rate": 0.00047698460316300285, + "loss": 5.5792, + "mean_token_accuracy": 0.15214556753635405, + "num_tokens": 5074065.0, + "step": 2295 + }, + { + "entropy": 5.76812596321106, + "epoch": 2.318709026727181, + "grad_norm": 0.9453125, + "learning_rate": 0.0004768095231386153, + "loss": 5.4481, + "mean_token_accuracy": 0.1508024200797081, + "num_tokens": 5085269.0, + "step": 2300 + }, + { + "entropy": 5.8601611137390135, + "epoch": 2.32375189107413, + "grad_norm": 1.0390625, + "learning_rate": 0.0004766338158855744, + "loss": 5.5466, + "mean_token_accuracy": 0.1513417288661003, + "num_tokens": 5096537.0, + "step": 2305 + }, + { + "entropy": 5.889308166503906, + "epoch": 2.3287947554210793, + "grad_norm": 0.921875, + "learning_rate": 0.0004764574819499826, + "loss": 5.5617, + "mean_token_accuracy": 0.14688292294740676, + "num_tokens": 5109554.0, + "step": 2310 + }, + { + "entropy": 5.834060573577881, + "epoch": 2.3338376197680284, + "grad_norm": 1.0703125, + "learning_rate": 0.00047628052187988955, + "loss": 5.5214, + "mean_token_accuracy": 0.15323757827281953, + "num_tokens": 5119740.0, + "step": 2315 + }, + { + "entropy": 5.76870756149292, + "epoch": 2.338880484114977, + "grad_norm": 1.125, + "learning_rate": 0.0004761029362252914, + "loss": 5.5789, + "mean_token_accuracy": 0.14972641170024872, + "num_tokens": 5130682.0, + "step": 2320 + }, + { + "entropy": 5.866538429260254, + "epoch": 2.343923348461926, + "grad_norm": 1.109375, + "learning_rate": 0.00047592472553812856, + "loss": 5.4855, + "mean_token_accuracy": 0.1567153364419937, + "num_tokens": 5141290.0, + "step": 2325 + }, + { + "entropy": 5.753556871414185, + "epoch": 2.3489662128088753, + "grad_norm": 1.0078125, + "learning_rate": 0.0004757458903722837, + "loss": 5.4612, + "mean_token_accuracy": 0.15005119442939757, + "num_tokens": 5152930.0, + "step": 2330 + }, + { + "entropy": 5.791133117675781, + "epoch": 2.3540090771558244, + "grad_norm": 0.99609375, + "learning_rate": 0.00047556643128358075, + "loss": 5.508, + "mean_token_accuracy": 0.153596168756485, + "num_tokens": 5164031.0, + "step": 2335 + }, + { + "entropy": 5.792740106582642, + "epoch": 2.3590519415027735, + "grad_norm": 1.234375, + "learning_rate": 0.00047538634882978277, + "loss": 5.499, + "mean_token_accuracy": 0.15123484134674073, + "num_tokens": 5174833.0, + "step": 2340 + }, + { + "entropy": 5.781650400161743, + "epoch": 2.3640948058497226, + "grad_norm": 1.1640625, + "learning_rate": 0.00047520564357059013, + "loss": 5.4348, + "mean_token_accuracy": 0.15593076795339583, + "num_tokens": 5184020.0, + "step": 2345 + }, + { + "entropy": 5.7946364402771, + "epoch": 2.3691376701966718, + "grad_norm": 1.0625, + "learning_rate": 0.0004750243160676389, + "loss": 5.4305, + "mean_token_accuracy": 0.15806339532136918, + "num_tokens": 5193812.0, + "step": 2350 + }, + { + "entropy": 5.909400987625122, + "epoch": 2.374180534543621, + "grad_norm": 1.109375, + "learning_rate": 0.0004748423668844992, + "loss": 5.6468, + "mean_token_accuracy": 0.1561293825507164, + "num_tokens": 5204663.0, + "step": 2355 + }, + { + "entropy": 5.850083351135254, + "epoch": 2.37922339889057, + "grad_norm": 1.0703125, + "learning_rate": 0.0004746597965866733, + "loss": 5.4514, + "mean_token_accuracy": 0.15195969939231874, + "num_tokens": 5215582.0, + "step": 2360 + }, + { + "entropy": 5.868561172485352, + "epoch": 2.384266263237519, + "grad_norm": 1.0703125, + "learning_rate": 0.0004744766057415938, + "loss": 5.5234, + "mean_token_accuracy": 0.15315358638763427, + "num_tokens": 5227185.0, + "step": 2365 + }, + { + "entropy": 5.7468945503234865, + "epoch": 2.389309127584468, + "grad_norm": 1.0703125, + "learning_rate": 0.0004742927949186222, + "loss": 5.4745, + "mean_token_accuracy": 0.15835718661546708, + "num_tokens": 5238800.0, + "step": 2370 + }, + { + "entropy": 5.728143310546875, + "epoch": 2.394351991931417, + "grad_norm": 1.1328125, + "learning_rate": 0.00047410836468904664, + "loss": 5.4446, + "mean_token_accuracy": 0.15594211220741272, + "num_tokens": 5249149.0, + "step": 2375 + }, + { + "entropy": 5.749974918365479, + "epoch": 2.399394856278366, + "grad_norm": 1.046875, + "learning_rate": 0.00047392331562608073, + "loss": 5.4105, + "mean_token_accuracy": 0.15610798448324203, + "num_tokens": 5259753.0, + "step": 2380 + }, + { + "entropy": 5.747346830368042, + "epoch": 2.404437720625315, + "grad_norm": 1.046875, + "learning_rate": 0.0004737376483048609, + "loss": 5.464, + "mean_token_accuracy": 0.15509508103132247, + "num_tokens": 5269954.0, + "step": 2385 + }, + { + "entropy": 5.855034351348877, + "epoch": 2.4094805849722642, + "grad_norm": 1.03125, + "learning_rate": 0.0004735513633024458, + "loss": 5.4991, + "mean_token_accuracy": 0.15720080435276032, + "num_tokens": 5280519.0, + "step": 2390 + }, + { + "entropy": 5.713812160491943, + "epoch": 2.4145234493192134, + "grad_norm": 0.9375, + "learning_rate": 0.0004733644611978134, + "loss": 5.5227, + "mean_token_accuracy": 0.15511042177677153, + "num_tokens": 5291729.0, + "step": 2395 + }, + { + "entropy": 5.7760590553283695, + "epoch": 2.4195663136661625, + "grad_norm": 1.1796875, + "learning_rate": 0.0004731769425718597, + "loss": 5.4847, + "mean_token_accuracy": 0.15621420443058015, + "num_tokens": 5302277.0, + "step": 2400 + }, + { + "entropy": 5.745872354507446, + "epoch": 2.4246091780131116, + "grad_norm": 0.9296875, + "learning_rate": 0.000472988808007397, + "loss": 5.4534, + "mean_token_accuracy": 0.15893562734127045, + "num_tokens": 5314432.0, + "step": 2405 + }, + { + "entropy": 5.661859083175659, + "epoch": 2.4296520423600603, + "grad_norm": 1.0, + "learning_rate": 0.00047280005808915176, + "loss": 5.4465, + "mean_token_accuracy": 0.15033914148807526, + "num_tokens": 5324707.0, + "step": 2410 + }, + { + "entropy": 5.794715404510498, + "epoch": 2.4346949067070094, + "grad_norm": 1.0703125, + "learning_rate": 0.0004726106934037631, + "loss": 5.465, + "mean_token_accuracy": 0.15631193071603774, + "num_tokens": 5334414.0, + "step": 2415 + }, + { + "entropy": 5.789452266693115, + "epoch": 2.4397377710539585, + "grad_norm": 1.015625, + "learning_rate": 0.0004724207145397809, + "loss": 5.4673, + "mean_token_accuracy": 0.1548281952738762, + "num_tokens": 5346372.0, + "step": 2420 + }, + { + "entropy": 5.732959461212158, + "epoch": 2.4447806354009076, + "grad_norm": 1.09375, + "learning_rate": 0.00047223012208766384, + "loss": 5.5026, + "mean_token_accuracy": 0.15159205645322799, + "num_tokens": 5356720.0, + "step": 2425 + }, + { + "entropy": 5.893084955215454, + "epoch": 2.4498234997478567, + "grad_norm": 0.9765625, + "learning_rate": 0.0004720389166397777, + "loss": 5.5696, + "mean_token_accuracy": 0.15283028185367584, + "num_tokens": 5367959.0, + "step": 2430 + }, + { + "entropy": 5.750197505950927, + "epoch": 2.454866364094806, + "grad_norm": 1.0703125, + "learning_rate": 0.00047184709879039325, + "loss": 5.4695, + "mean_token_accuracy": 0.15502368956804274, + "num_tokens": 5378490.0, + "step": 2435 + }, + { + "entropy": 5.638679313659668, + "epoch": 2.459909228441755, + "grad_norm": 0.953125, + "learning_rate": 0.00047165466913568497, + "loss": 5.423, + "mean_token_accuracy": 0.15600484013557434, + "num_tokens": 5389326.0, + "step": 2440 + }, + { + "entropy": 5.778469181060791, + "epoch": 2.464952092788704, + "grad_norm": 1.0703125, + "learning_rate": 0.0004714616282737285, + "loss": 5.4753, + "mean_token_accuracy": 0.152701935172081, + "num_tokens": 5402289.0, + "step": 2445 + }, + { + "entropy": 5.789434337615967, + "epoch": 2.469994957135653, + "grad_norm": 1.140625, + "learning_rate": 0.0004712679768044995, + "loss": 5.4628, + "mean_token_accuracy": 0.15229596346616744, + "num_tokens": 5412487.0, + "step": 2450 + }, + { + "entropy": 5.767400121688842, + "epoch": 2.4750378214826023, + "grad_norm": 1.109375, + "learning_rate": 0.000471073715329871, + "loss": 5.4818, + "mean_token_accuracy": 0.1478862538933754, + "num_tokens": 5423939.0, + "step": 2455 + }, + { + "entropy": 5.78984751701355, + "epoch": 2.4800806858295514, + "grad_norm": 0.9453125, + "learning_rate": 0.0004708788444536123, + "loss": 5.54, + "mean_token_accuracy": 0.1537518873810768, + "num_tokens": 5434623.0, + "step": 2460 + }, + { + "entropy": 5.758418273925781, + "epoch": 2.4851235501765, + "grad_norm": 1.078125, + "learning_rate": 0.0004706833647813865, + "loss": 5.5085, + "mean_token_accuracy": 0.15297200083732604, + "num_tokens": 5445368.0, + "step": 2465 + }, + { + "entropy": 5.83281774520874, + "epoch": 2.4901664145234492, + "grad_norm": 1.0703125, + "learning_rate": 0.00047048727692074893, + "loss": 5.4902, + "mean_token_accuracy": 0.15309383273124694, + "num_tokens": 5456678.0, + "step": 2470 + }, + { + "entropy": 5.736118793487549, + "epoch": 2.4952092788703983, + "grad_norm": 1.0546875, + "learning_rate": 0.0004702905814811452, + "loss": 5.5078, + "mean_token_accuracy": 0.1514161393046379, + "num_tokens": 5468181.0, + "step": 2475 + }, + { + "entropy": 5.833150863647461, + "epoch": 2.5002521432173475, + "grad_norm": 1.1328125, + "learning_rate": 0.00047009327907390926, + "loss": 5.6341, + "mean_token_accuracy": 0.14663451313972473, + "num_tokens": 5479858.0, + "step": 2480 + }, + { + "entropy": 5.7969193935394285, + "epoch": 2.5052950075642966, + "grad_norm": 1.09375, + "learning_rate": 0.0004698953703122616, + "loss": 5.4655, + "mean_token_accuracy": 0.15067108720541, + "num_tokens": 5489885.0, + "step": 2485 + }, + { + "entropy": 5.73531322479248, + "epoch": 2.5103378719112457, + "grad_norm": 1.0703125, + "learning_rate": 0.00046969685581130715, + "loss": 5.4311, + "mean_token_accuracy": 0.14690714105963706, + "num_tokens": 5500597.0, + "step": 2490 + }, + { + "entropy": 5.7298362255096436, + "epoch": 2.515380736258195, + "grad_norm": 0.93359375, + "learning_rate": 0.00046949773618803353, + "loss": 5.4247, + "mean_token_accuracy": 0.15728699415922165, + "num_tokens": 5513830.0, + "step": 2495 + }, + { + "entropy": 5.605797576904297, + "epoch": 2.5204236006051435, + "grad_norm": 0.95703125, + "learning_rate": 0.00046929801206130925, + "loss": 5.5076, + "mean_token_accuracy": 0.1480040967464447, + "num_tokens": 5525318.0, + "step": 2500 + }, + { + "entropy": 5.753169536590576, + "epoch": 2.5254664649520926, + "grad_norm": 1.1796875, + "learning_rate": 0.00046909768405188135, + "loss": 5.4669, + "mean_token_accuracy": 0.160452176630497, + "num_tokens": 5536338.0, + "step": 2505 + }, + { + "entropy": 5.790803241729736, + "epoch": 2.5305093292990417, + "grad_norm": 0.9453125, + "learning_rate": 0.00046889675278237404, + "loss": 5.4771, + "mean_token_accuracy": 0.15563293546438217, + "num_tokens": 5550114.0, + "step": 2510 + }, + { + "entropy": 5.788385915756225, + "epoch": 2.535552193645991, + "grad_norm": 0.9296875, + "learning_rate": 0.0004686952188772863, + "loss": 5.5352, + "mean_token_accuracy": 0.14535831958055495, + "num_tokens": 5562066.0, + "step": 2515 + }, + { + "entropy": 5.717385292053223, + "epoch": 2.54059505799294, + "grad_norm": 1.234375, + "learning_rate": 0.00046849308296299005, + "loss": 5.441, + "mean_token_accuracy": 0.15885742306709288, + "num_tokens": 5573177.0, + "step": 2520 + }, + { + "entropy": 5.68976149559021, + "epoch": 2.545637922339889, + "grad_norm": 1.046875, + "learning_rate": 0.0004682903456677285, + "loss": 5.4345, + "mean_token_accuracy": 0.15550419092178344, + "num_tokens": 5583612.0, + "step": 2525 + }, + { + "entropy": 5.744239616394043, + "epoch": 2.550680786686838, + "grad_norm": 1.125, + "learning_rate": 0.00046808700762161385, + "loss": 5.4654, + "mean_token_accuracy": 0.15590668618679046, + "num_tokens": 5594188.0, + "step": 2530 + }, + { + "entropy": 5.73140230178833, + "epoch": 2.5557236510337873, + "grad_norm": 1.0234375, + "learning_rate": 0.0004678830694566253, + "loss": 5.4989, + "mean_token_accuracy": 0.15542927384376526, + "num_tokens": 5604779.0, + "step": 2535 + }, + { + "entropy": 5.738622331619263, + "epoch": 2.5607665153807364, + "grad_norm": 1.1171875, + "learning_rate": 0.0004676785318066075, + "loss": 5.5696, + "mean_token_accuracy": 0.15190335214138032, + "num_tokens": 5615769.0, + "step": 2540 + }, + { + "entropy": 5.814460611343383, + "epoch": 2.5658093797276855, + "grad_norm": 1.171875, + "learning_rate": 0.0004674733953072682, + "loss": 5.4405, + "mean_token_accuracy": 0.1664976730942726, + "num_tokens": 5626402.0, + "step": 2545 + }, + { + "entropy": 5.641471862792969, + "epoch": 2.5708522440746346, + "grad_norm": 1.015625, + "learning_rate": 0.0004672676605961763, + "loss": 5.4143, + "mean_token_accuracy": 0.15526661574840545, + "num_tokens": 5637001.0, + "step": 2550 + }, + { + "entropy": 5.8195109367370605, + "epoch": 2.5758951084215833, + "grad_norm": 1.1171875, + "learning_rate": 0.00046706132831276007, + "loss": 5.5429, + "mean_token_accuracy": 0.15143456161022187, + "num_tokens": 5649265.0, + "step": 2555 + }, + { + "entropy": 5.7367987632751465, + "epoch": 2.5809379727685324, + "grad_norm": 1.0, + "learning_rate": 0.00046685439909830486, + "loss": 5.47, + "mean_token_accuracy": 0.156496499478817, + "num_tokens": 5660755.0, + "step": 2560 + }, + { + "entropy": 5.706658458709716, + "epoch": 2.5859808371154815, + "grad_norm": 0.91796875, + "learning_rate": 0.0004666468735959516, + "loss": 5.4368, + "mean_token_accuracy": 0.1559344068169594, + "num_tokens": 5673084.0, + "step": 2565 + }, + { + "entropy": 5.739587211608887, + "epoch": 2.5910237014624307, + "grad_norm": 1.1328125, + "learning_rate": 0.0004664387524506943, + "loss": 5.4675, + "mean_token_accuracy": 0.15186764299869537, + "num_tokens": 5683524.0, + "step": 2570 + }, + { + "entropy": 5.703453207015992, + "epoch": 2.59606656580938, + "grad_norm": 1.015625, + "learning_rate": 0.0004662300363093784, + "loss": 5.4108, + "mean_token_accuracy": 0.1567538633942604, + "num_tokens": 5693847.0, + "step": 2575 + }, + { + "entropy": 5.737986516952515, + "epoch": 2.601109430156329, + "grad_norm": 1.09375, + "learning_rate": 0.0004660207258206983, + "loss": 5.505, + "mean_token_accuracy": 0.15696525871753692, + "num_tokens": 5704915.0, + "step": 2580 + }, + { + "entropy": 5.7901694774627686, + "epoch": 2.606152294503278, + "grad_norm": 0.87109375, + "learning_rate": 0.00046581082163519585, + "loss": 5.5535, + "mean_token_accuracy": 0.1479012444615364, + "num_tokens": 5716783.0, + "step": 2585 + }, + { + "entropy": 5.745092058181763, + "epoch": 2.6111951588502267, + "grad_norm": 1.0078125, + "learning_rate": 0.0004656003244052582, + "loss": 5.5246, + "mean_token_accuracy": 0.15058010220527648, + "num_tokens": 5728993.0, + "step": 2590 + }, + { + "entropy": 5.761765193939209, + "epoch": 2.616238023197176, + "grad_norm": 1.1484375, + "learning_rate": 0.0004653892347851155, + "loss": 5.5068, + "mean_token_accuracy": 0.1499432608485222, + "num_tokens": 5740340.0, + "step": 2595 + }, + { + "entropy": 5.774857854843139, + "epoch": 2.621280887544125, + "grad_norm": 1.125, + "learning_rate": 0.0004651775534308392, + "loss": 5.4984, + "mean_token_accuracy": 0.15435360968112946, + "num_tokens": 5751545.0, + "step": 2600 + }, + { + "entropy": 5.687238502502441, + "epoch": 2.626323751891074, + "grad_norm": 1.015625, + "learning_rate": 0.0004649652810003398, + "loss": 5.4287, + "mean_token_accuracy": 0.15567395687103272, + "num_tokens": 5761604.0, + "step": 2605 + }, + { + "entropy": 5.688789033889771, + "epoch": 2.631366616238023, + "grad_norm": 1.015625, + "learning_rate": 0.00046475241815336504, + "loss": 5.4446, + "mean_token_accuracy": 0.15180650651454924, + "num_tokens": 5772350.0, + "step": 2610 + }, + { + "entropy": 5.771944618225097, + "epoch": 2.6364094805849723, + "grad_norm": 0.97265625, + "learning_rate": 0.0004645389655514974, + "loss": 5.5181, + "mean_token_accuracy": 0.14686440974473952, + "num_tokens": 5783675.0, + "step": 2615 + }, + { + "entropy": 5.831314373016357, + "epoch": 2.6414523449319214, + "grad_norm": 0.96484375, + "learning_rate": 0.0004643249238581525, + "loss": 5.5434, + "mean_token_accuracy": 0.15259119123220444, + "num_tokens": 5794430.0, + "step": 2620 + }, + { + "entropy": 5.794641542434692, + "epoch": 2.6464952092788705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004641102937385769, + "loss": 5.5542, + "mean_token_accuracy": 0.15364048182964324, + "num_tokens": 5806175.0, + "step": 2625 + }, + { + "entropy": 5.70883526802063, + "epoch": 2.6515380736258196, + "grad_norm": 1.0390625, + "learning_rate": 0.0004638950758598461, + "loss": 5.5536, + "mean_token_accuracy": 0.14425939917564393, + "num_tokens": 5817410.0, + "step": 2630 + }, + { + "entropy": 5.80547342300415, + "epoch": 2.6565809379727687, + "grad_norm": 1.0, + "learning_rate": 0.00046367927089086203, + "loss": 5.448, + "mean_token_accuracy": 0.15607620179653167, + "num_tokens": 5828912.0, + "step": 2635 + }, + { + "entropy": 5.748285531997681, + "epoch": 2.661623802319718, + "grad_norm": 1.15625, + "learning_rate": 0.00046346287950235163, + "loss": 5.5401, + "mean_token_accuracy": 0.15586501061916352, + "num_tokens": 5839258.0, + "step": 2640 + }, + { + "entropy": 5.737153673171997, + "epoch": 2.6666666666666665, + "grad_norm": 1.0, + "learning_rate": 0.0004632459023668642, + "loss": 5.5079, + "mean_token_accuracy": 0.15383340567350387, + "num_tokens": 5849959.0, + "step": 2645 + }, + { + "entropy": 5.763741827011108, + "epoch": 2.6717095310136156, + "grad_norm": 1.0390625, + "learning_rate": 0.0004630283401587699, + "loss": 5.4789, + "mean_token_accuracy": 0.15776506662368775, + "num_tokens": 5860426.0, + "step": 2650 + }, + { + "entropy": 5.854124212265015, + "epoch": 2.6767523953605648, + "grad_norm": 1.0546875, + "learning_rate": 0.0004628101935542568, + "loss": 5.542, + "mean_token_accuracy": 0.148340904712677, + "num_tokens": 5871388.0, + "step": 2655 + }, + { + "entropy": 5.688088989257812, + "epoch": 2.681795259707514, + "grad_norm": 1.0078125, + "learning_rate": 0.00046259146323132986, + "loss": 5.4544, + "mean_token_accuracy": 0.15273037701845169, + "num_tokens": 5881949.0, + "step": 2660 + }, + { + "entropy": 5.818883419036865, + "epoch": 2.686838124054463, + "grad_norm": 1.09375, + "learning_rate": 0.00046237214986980776, + "loss": 5.558, + "mean_token_accuracy": 0.14223721921443938, + "num_tokens": 5893144.0, + "step": 2665 + }, + { + "entropy": 5.765694522857666, + "epoch": 2.691880988401412, + "grad_norm": 1.078125, + "learning_rate": 0.0004621522541513216, + "loss": 5.4284, + "mean_token_accuracy": 0.15049116015434266, + "num_tokens": 5903305.0, + "step": 2670 + }, + { + "entropy": 5.6631287097930905, + "epoch": 2.696923852748361, + "grad_norm": 1.0390625, + "learning_rate": 0.0004619317767593123, + "loss": 5.5171, + "mean_token_accuracy": 0.1517879694700241, + "num_tokens": 5914713.0, + "step": 2675 + }, + { + "entropy": 5.818699312210083, + "epoch": 2.70196671709531, + "grad_norm": 1.15625, + "learning_rate": 0.00046171071837902873, + "loss": 5.4819, + "mean_token_accuracy": 0.15786724239587785, + "num_tokens": 5925576.0, + "step": 2680 + }, + { + "entropy": 5.696503210067749, + "epoch": 2.707009581442259, + "grad_norm": 1.1328125, + "learning_rate": 0.0004614890796975254, + "loss": 5.4826, + "mean_token_accuracy": 0.15257023125886918, + "num_tokens": 5935686.0, + "step": 2685 + }, + { + "entropy": 5.718165111541748, + "epoch": 2.712052445789208, + "grad_norm": 1.0546875, + "learning_rate": 0.0004612668614036605, + "loss": 5.4736, + "mean_token_accuracy": 0.14945560395717622, + "num_tokens": 5947741.0, + "step": 2690 + }, + { + "entropy": 5.7087709426879885, + "epoch": 2.7170953101361572, + "grad_norm": 1.0625, + "learning_rate": 0.0004610440641880934, + "loss": 5.4841, + "mean_token_accuracy": 0.15218786150217056, + "num_tokens": 5958288.0, + "step": 2695 + }, + { + "entropy": 5.716747570037842, + "epoch": 2.7221381744831064, + "grad_norm": 0.9609375, + "learning_rate": 0.00046082068874328324, + "loss": 5.4522, + "mean_token_accuracy": 0.15020226687192917, + "num_tokens": 5969815.0, + "step": 2700 + }, + { + "entropy": 5.726864147186279, + "epoch": 2.7271810388300555, + "grad_norm": 1.0625, + "learning_rate": 0.00046059673576348596, + "loss": 5.4902, + "mean_token_accuracy": 0.15824628323316575, + "num_tokens": 5980795.0, + "step": 2705 + }, + { + "entropy": 5.73177137374878, + "epoch": 2.7322239031770046, + "grad_norm": 1.1328125, + "learning_rate": 0.00046037220594475264, + "loss": 5.444, + "mean_token_accuracy": 0.1508912980556488, + "num_tokens": 5992284.0, + "step": 2710 + }, + { + "entropy": 5.7489784240722654, + "epoch": 2.7372667675239537, + "grad_norm": 1.5, + "learning_rate": 0.000460147099984927, + "loss": 5.4116, + "mean_token_accuracy": 0.1543903425335884, + "num_tokens": 6002161.0, + "step": 2715 + }, + { + "entropy": 5.680394983291626, + "epoch": 2.742309631870903, + "grad_norm": 1.078125, + "learning_rate": 0.0004599214185836438, + "loss": 5.3987, + "mean_token_accuracy": 0.15582872778177262, + "num_tokens": 6013154.0, + "step": 2720 + }, + { + "entropy": 5.742609643936158, + "epoch": 2.747352496217852, + "grad_norm": 0.9921875, + "learning_rate": 0.00045969516244232574, + "loss": 5.5027, + "mean_token_accuracy": 0.14868493303656577, + "num_tokens": 6023567.0, + "step": 2725 + }, + { + "entropy": 5.779243469238281, + "epoch": 2.752395360564801, + "grad_norm": 1.1796875, + "learning_rate": 0.00045946833226418235, + "loss": 5.5049, + "mean_token_accuracy": 0.1554177589714527, + "num_tokens": 6034381.0, + "step": 2730 + }, + { + "entropy": 5.7479206085205075, + "epoch": 2.7574382249117497, + "grad_norm": 1.09375, + "learning_rate": 0.0004592409287542069, + "loss": 5.533, + "mean_token_accuracy": 0.15534146279096603, + "num_tokens": 6045899.0, + "step": 2735 + }, + { + "entropy": 5.6765319347381595, + "epoch": 2.762481089258699, + "grad_norm": 1.09375, + "learning_rate": 0.0004590129526191748, + "loss": 5.4588, + "mean_token_accuracy": 0.16064525693655013, + "num_tokens": 6056852.0, + "step": 2740 + }, + { + "entropy": 5.6774509906768795, + "epoch": 2.767523953605648, + "grad_norm": 1.046875, + "learning_rate": 0.0004587844045676413, + "loss": 5.4993, + "mean_token_accuracy": 0.15331972688436507, + "num_tokens": 6067345.0, + "step": 2745 + }, + { + "entropy": 5.847537851333618, + "epoch": 2.772566817952597, + "grad_norm": 1.0703125, + "learning_rate": 0.00045855528530993874, + "loss": 5.5506, + "mean_token_accuracy": 0.15039721131324768, + "num_tokens": 6078749.0, + "step": 2750 + }, + { + "entropy": 5.746519994735718, + "epoch": 2.777609682299546, + "grad_norm": 1.015625, + "learning_rate": 0.00045832559555817525, + "loss": 5.42, + "mean_token_accuracy": 0.15581451654434203, + "num_tokens": 6089577.0, + "step": 2755 + }, + { + "entropy": 5.669173908233643, + "epoch": 2.7826525466464953, + "grad_norm": 1.0234375, + "learning_rate": 0.00045809533602623185, + "loss": 5.4293, + "mean_token_accuracy": 0.15584837794303893, + "num_tokens": 6101253.0, + "step": 2760 + }, + { + "entropy": 5.8013957977294925, + "epoch": 2.7876954109934444, + "grad_norm": 0.98046875, + "learning_rate": 0.0004578645074297603, + "loss": 5.495, + "mean_token_accuracy": 0.14859967827796935, + "num_tokens": 6113342.0, + "step": 2765 + }, + { + "entropy": 5.718002796173096, + "epoch": 2.792738275340393, + "grad_norm": 0.94921875, + "learning_rate": 0.00045763311048618144, + "loss": 5.411, + "mean_token_accuracy": 0.152135494351387, + "num_tokens": 6124785.0, + "step": 2770 + }, + { + "entropy": 5.641060495376587, + "epoch": 2.797781139687342, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574011459146822, + "loss": 5.4503, + "mean_token_accuracy": 0.15371314883232118, + "num_tokens": 6137592.0, + "step": 2775 + }, + { + "entropy": 5.749881744384766, + "epoch": 2.8028240040342913, + "grad_norm": 1.0625, + "learning_rate": 0.00045716861443621386, + "loss": 5.4697, + "mean_token_accuracy": 0.15637175291776656, + "num_tokens": 6148667.0, + "step": 2780 + }, + { + "entropy": 5.770527267456055, + "epoch": 2.8078668683812404, + "grad_norm": 0.96875, + "learning_rate": 0.00045693551677348967, + "loss": 5.451, + "mean_token_accuracy": 0.15207348614931107, + "num_tokens": 6160713.0, + "step": 2785 + }, + { + "entropy": 5.779430723190307, + "epoch": 2.8129097327281896, + "grad_norm": 1.15625, + "learning_rate": 0.0004567018536509823, + "loss": 5.5755, + "mean_token_accuracy": 0.15166713744401933, + "num_tokens": 6172272.0, + "step": 2790 + }, + { + "entropy": 5.721499395370484, + "epoch": 2.8179525970751387, + "grad_norm": 1.1015625, + "learning_rate": 0.00045646762579492245, + "loss": 5.4229, + "mean_token_accuracy": 0.14775012731552123, + "num_tokens": 6183785.0, + "step": 2795 + }, + { + "entropy": 5.688457107543945, + "epoch": 2.822995461422088, + "grad_norm": 1.15625, + "learning_rate": 0.00045623283393329546, + "loss": 5.3775, + "mean_token_accuracy": 0.15840678364038469, + "num_tokens": 6194464.0, + "step": 2800 + }, + { + "entropy": 5.775582647323608, + "epoch": 2.828038325769037, + "grad_norm": 1.0625, + "learning_rate": 0.00045599747879584, + "loss": 5.426, + "mean_token_accuracy": 0.1546274319291115, + "num_tokens": 6204671.0, + "step": 2805 + }, + { + "entropy": 5.640670299530029, + "epoch": 2.833081190115986, + "grad_norm": 0.95703125, + "learning_rate": 0.0004557615611140451, + "loss": 5.4146, + "mean_token_accuracy": 0.1612096130847931, + "num_tokens": 6215385.0, + "step": 2810 + }, + { + "entropy": 5.630797576904297, + "epoch": 2.838124054462935, + "grad_norm": 1.2265625, + "learning_rate": 0.0004555250816211485, + "loss": 5.357, + "mean_token_accuracy": 0.15553602576255798, + "num_tokens": 6225912.0, + "step": 2815 + }, + { + "entropy": 5.752071332931519, + "epoch": 2.8431669188098843, + "grad_norm": 1.078125, + "learning_rate": 0.00045528804105213395, + "loss": 5.4612, + "mean_token_accuracy": 0.1602766200900078, + "num_tokens": 6236559.0, + "step": 2820 + }, + { + "entropy": 5.713701391220093, + "epoch": 2.848209783156833, + "grad_norm": 1.015625, + "learning_rate": 0.0004550504401437289, + "loss": 5.4315, + "mean_token_accuracy": 0.1578310638666153, + "num_tokens": 6247711.0, + "step": 2825 + }, + { + "entropy": 5.672023010253906, + "epoch": 2.853252647503782, + "grad_norm": 1.0703125, + "learning_rate": 0.00045481227963440235, + "loss": 5.5328, + "mean_token_accuracy": 0.14823448956012725, + "num_tokens": 6258221.0, + "step": 2830 + }, + { + "entropy": 5.652795839309692, + "epoch": 2.858295511850731, + "grad_norm": 0.95703125, + "learning_rate": 0.00045457356026436295, + "loss": 5.4001, + "mean_token_accuracy": 0.1583421677350998, + "num_tokens": 6270839.0, + "step": 2835 + }, + { + "entropy": 5.733667516708374, + "epoch": 2.8633383761976803, + "grad_norm": 1.125, + "learning_rate": 0.00045433428277555577, + "loss": 5.4762, + "mean_token_accuracy": 0.15817931145429612, + "num_tokens": 6281014.0, + "step": 2840 + }, + { + "entropy": 5.711543846130371, + "epoch": 2.8683812405446294, + "grad_norm": 0.97265625, + "learning_rate": 0.0004540944479116609, + "loss": 5.3434, + "mean_token_accuracy": 0.16303679645061492, + "num_tokens": 6291585.0, + "step": 2845 + }, + { + "entropy": 5.662552165985107, + "epoch": 2.8734241048915785, + "grad_norm": 1.1875, + "learning_rate": 0.0004538540564180906, + "loss": 5.4371, + "mean_token_accuracy": 0.1538010999560356, + "num_tokens": 6302474.0, + "step": 2850 + }, + { + "entropy": 5.651121282577515, + "epoch": 2.8784669692385276, + "grad_norm": 1.03125, + "learning_rate": 0.0004536131090419871, + "loss": 5.4358, + "mean_token_accuracy": 0.1578834153711796, + "num_tokens": 6314294.0, + "step": 2855 + }, + { + "entropy": 5.707853221893311, + "epoch": 2.8835098335854763, + "grad_norm": 1.203125, + "learning_rate": 0.0004533716065322205, + "loss": 5.4801, + "mean_token_accuracy": 0.1580565854907036, + "num_tokens": 6325465.0, + "step": 2860 + }, + { + "entropy": 5.680128335952759, + "epoch": 2.8885526979324254, + "grad_norm": 1.0859375, + "learning_rate": 0.0004531295496393861, + "loss": 5.4001, + "mean_token_accuracy": 0.15744387805461885, + "num_tokens": 6335010.0, + "step": 2865 + }, + { + "entropy": 5.701512670516967, + "epoch": 2.8935955622793745, + "grad_norm": 1.046875, + "learning_rate": 0.0004528869391158023, + "loss": 5.4527, + "mean_token_accuracy": 0.1601644814014435, + "num_tokens": 6345640.0, + "step": 2870 + }, + { + "entropy": 5.62476921081543, + "epoch": 2.8986384266263236, + "grad_norm": 1.0703125, + "learning_rate": 0.00045264377571550834, + "loss": 5.4294, + "mean_token_accuracy": 0.16621643155813218, + "num_tokens": 6355539.0, + "step": 2875 + }, + { + "entropy": 5.619204473495484, + "epoch": 2.9036812909732728, + "grad_norm": 1.0859375, + "learning_rate": 0.0004524000601942615, + "loss": 5.3329, + "mean_token_accuracy": 0.15699979960918425, + "num_tokens": 6366542.0, + "step": 2880 + }, + { + "entropy": 5.751354694366455, + "epoch": 2.908724155320222, + "grad_norm": 1.1796875, + "learning_rate": 0.0004521557933095354, + "loss": 5.5287, + "mean_token_accuracy": 0.15396645069122314, + "num_tokens": 6376735.0, + "step": 2885 + }, + { + "entropy": 5.64409499168396, + "epoch": 2.913767019667171, + "grad_norm": 1.1484375, + "learning_rate": 0.000451910975820517, + "loss": 5.3584, + "mean_token_accuracy": 0.15932220369577407, + "num_tokens": 6386663.0, + "step": 2890 + }, + { + "entropy": 5.62259087562561, + "epoch": 2.91880988401412, + "grad_norm": 0.93359375, + "learning_rate": 0.00045166560848810476, + "loss": 5.4581, + "mean_token_accuracy": 0.1552051857113838, + "num_tokens": 6397886.0, + "step": 2895 + }, + { + "entropy": 5.692402982711792, + "epoch": 2.9238527483610692, + "grad_norm": 1.078125, + "learning_rate": 0.00045141969207490606, + "loss": 5.4081, + "mean_token_accuracy": 0.16515503227710723, + "num_tokens": 6408768.0, + "step": 2900 + }, + { + "entropy": 5.713067817687988, + "epoch": 2.9288956127080183, + "grad_norm": 1.0703125, + "learning_rate": 0.0004511732273452347, + "loss": 5.4582, + "mean_token_accuracy": 0.15396346151828766, + "num_tokens": 6419427.0, + "step": 2905 + }, + { + "entropy": 5.73297438621521, + "epoch": 2.9339384770549675, + "grad_norm": 1.0390625, + "learning_rate": 0.0004509262150651089, + "loss": 5.4812, + "mean_token_accuracy": 0.15133209377527237, + "num_tokens": 6430135.0, + "step": 2910 + }, + { + "entropy": 5.707785749435425, + "epoch": 2.938981341401916, + "grad_norm": 1.109375, + "learning_rate": 0.00045067865600224833, + "loss": 5.425, + "mean_token_accuracy": 0.15304721444845198, + "num_tokens": 6440977.0, + "step": 2915 + }, + { + "entropy": 5.713269805908203, + "epoch": 2.9440242057488653, + "grad_norm": 0.98828125, + "learning_rate": 0.0004504305509260724, + "loss": 5.478, + "mean_token_accuracy": 0.1551429495215416, + "num_tokens": 6452319.0, + "step": 2920 + }, + { + "entropy": 5.829064273834229, + "epoch": 2.9490670700958144, + "grad_norm": 0.921875, + "learning_rate": 0.0004501819006076974, + "loss": 5.482, + "mean_token_accuracy": 0.15775506496429442, + "num_tokens": 6463970.0, + "step": 2925 + }, + { + "entropy": 5.789419078826905, + "epoch": 2.9541099344427635, + "grad_norm": 1.1875, + "learning_rate": 0.00044993270581993413, + "loss": 5.495, + "mean_token_accuracy": 0.14951940700411798, + "num_tokens": 6474113.0, + "step": 2930 + }, + { + "entropy": 5.697580623626709, + "epoch": 2.9591527987897126, + "grad_norm": 0.90625, + "learning_rate": 0.00044968296733728587, + "loss": 5.4777, + "mean_token_accuracy": 0.1503283739089966, + "num_tokens": 6485596.0, + "step": 2935 + }, + { + "entropy": 5.704351806640625, + "epoch": 2.9641956631366617, + "grad_norm": 1.1015625, + "learning_rate": 0.0004494326859359456, + "loss": 5.4802, + "mean_token_accuracy": 0.15750115364789963, + "num_tokens": 6497521.0, + "step": 2940 + }, + { + "entropy": 5.6369767665863035, + "epoch": 2.969238527483611, + "grad_norm": 1.15625, + "learning_rate": 0.00044918186239379363, + "loss": 5.2882, + "mean_token_accuracy": 0.1666715368628502, + "num_tokens": 6508034.0, + "step": 2945 + }, + { + "entropy": 5.607600402832031, + "epoch": 2.9742813918305595, + "grad_norm": 1.0703125, + "learning_rate": 0.0004489304974903953, + "loss": 5.4667, + "mean_token_accuracy": 0.15410790145397185, + "num_tokens": 6518640.0, + "step": 2950 + }, + { + "entropy": 5.7324717998504635, + "epoch": 2.9793242561775086, + "grad_norm": 1.046875, + "learning_rate": 0.0004486785920069985, + "loss": 5.4666, + "mean_token_accuracy": 0.1566634237766266, + "num_tokens": 6528856.0, + "step": 2955 + }, + { + "entropy": 5.747164154052735, + "epoch": 2.9843671205244577, + "grad_norm": 1.015625, + "learning_rate": 0.0004484261467265313, + "loss": 5.5008, + "mean_token_accuracy": 0.15833084285259247, + "num_tokens": 6539385.0, + "step": 2960 + }, + { + "entropy": 5.621426057815552, + "epoch": 2.989409984871407, + "grad_norm": 0.96875, + "learning_rate": 0.00044817316243359956, + "loss": 5.4573, + "mean_token_accuracy": 0.15738039314746857, + "num_tokens": 6550327.0, + "step": 2965 + }, + { + "entropy": 5.802563714981079, + "epoch": 2.994452849218356, + "grad_norm": 1.015625, + "learning_rate": 0.00044791963991448427, + "loss": 5.5538, + "mean_token_accuracy": 0.14475565552711486, + "num_tokens": 6563230.0, + "step": 2970 + }, + { + "entropy": 5.689474630355835, + "epoch": 2.999495713565305, + "grad_norm": 0.94921875, + "learning_rate": 0.00044766557995713915, + "loss": 5.4316, + "mean_token_accuracy": 0.15604960024356843, + "num_tokens": 6573947.0, + "step": 2975 + }, + { + "entropy": 5.714105500115289, + "epoch": 3.0040342914775593, + "grad_norm": 1.0390625, + "learning_rate": 0.0004474109833511885, + "loss": 5.3151, + "mean_token_accuracy": 0.16546918120649126, + "num_tokens": 6583671.0, + "step": 2980 + }, + { + "entropy": 5.67859673500061, + "epoch": 3.0090771558245084, + "grad_norm": 1.0234375, + "learning_rate": 0.0004471558508879244, + "loss": 5.1105, + "mean_token_accuracy": 0.1719118610024452, + "num_tokens": 6594270.0, + "step": 2985 + }, + { + "entropy": 5.638429021835327, + "epoch": 3.0141200201714575, + "grad_norm": 1.0625, + "learning_rate": 0.0004469001833603045, + "loss": 5.2033, + "mean_token_accuracy": 0.17100471556186675, + "num_tokens": 6605849.0, + "step": 2990 + }, + { + "entropy": 5.6778584003448485, + "epoch": 3.0191628845184066, + "grad_norm": 1.203125, + "learning_rate": 0.0004466439815629493, + "loss": 5.14, + "mean_token_accuracy": 0.1727638065814972, + "num_tokens": 6615630.0, + "step": 2995 + }, + { + "entropy": 5.664512825012207, + "epoch": 3.0242057488653553, + "grad_norm": 1.0703125, + "learning_rate": 0.00044638724629214, + "loss": 5.153, + "mean_token_accuracy": 0.17399086505174638, + "num_tokens": 6626467.0, + "step": 3000 + }, + { + "epoch": 3.0242057488653553, + "eval_entropy": 5.454597516824271, + "eval_loss": 5.765429496765137, + "eval_mean_token_accuracy": 0.14664496775271024, + "eval_num_tokens": 6626467.0, + "eval_runtime": 2.0324, + "eval_samples_per_second": 1543.982, + "eval_steps_per_second": 193.367, + "step": 3000 + }, + { + "entropy": 5.624707126617432, + "epoch": 3.0292486132123044, + "grad_norm": 1.0078125, + "learning_rate": 0.00044612997834581557, + "loss": 5.1775, + "mean_token_accuracy": 0.16961953043937683, + "num_tokens": 6638599.0, + "step": 3005 + }, + { + "entropy": 5.630809354782104, + "epoch": 3.0342914775592535, + "grad_norm": 1.078125, + "learning_rate": 0.00044587217852357086, + "loss": 5.123, + "mean_token_accuracy": 0.1691894441843033, + "num_tokens": 6648375.0, + "step": 3010 + }, + { + "entropy": 5.585572862625122, + "epoch": 3.0393343419062027, + "grad_norm": 0.98046875, + "learning_rate": 0.00044561384762665363, + "loss": 5.2175, + "mean_token_accuracy": 0.17457871437072753, + "num_tokens": 6659910.0, + "step": 3015 + }, + { + "entropy": 5.675475311279297, + "epoch": 3.044377206253152, + "grad_norm": 1.0625, + "learning_rate": 0.0004453549864579623, + "loss": 5.2177, + "mean_token_accuracy": 0.17402236610651017, + "num_tokens": 6670719.0, + "step": 3020 + }, + { + "entropy": 5.612090826034546, + "epoch": 3.049420070600101, + "grad_norm": 1.03125, + "learning_rate": 0.0004450955958220433, + "loss": 5.0868, + "mean_token_accuracy": 0.17708014696836472, + "num_tokens": 6681168.0, + "step": 3025 + }, + { + "entropy": 5.632619190216064, + "epoch": 3.05446293494705, + "grad_norm": 1.078125, + "learning_rate": 0.00044483567652508864, + "loss": 5.2205, + "mean_token_accuracy": 0.16884091645479202, + "num_tokens": 6694026.0, + "step": 3030 + }, + { + "entropy": 5.628296947479248, + "epoch": 3.059505799293999, + "grad_norm": 1.1953125, + "learning_rate": 0.0004445752293749337, + "loss": 5.0936, + "mean_token_accuracy": 0.1738958701491356, + "num_tokens": 6703666.0, + "step": 3035 + }, + { + "entropy": 5.514598226547241, + "epoch": 3.0645486636409482, + "grad_norm": 1.0234375, + "learning_rate": 0.0004443142551810541, + "loss": 5.1048, + "mean_token_accuracy": 0.17896140217781067, + "num_tokens": 6713506.0, + "step": 3040 + }, + { + "entropy": 5.579556608200074, + "epoch": 3.069591527987897, + "grad_norm": 1.046875, + "learning_rate": 0.00044405275475456365, + "loss": 5.0987, + "mean_token_accuracy": 0.17890556901693344, + "num_tokens": 6724184.0, + "step": 3045 + }, + { + "entropy": 5.552690172195435, + "epoch": 3.074634392334846, + "grad_norm": 1.0546875, + "learning_rate": 0.0004437907289082116, + "loss": 5.2027, + "mean_token_accuracy": 0.17316050678491593, + "num_tokens": 6734843.0, + "step": 3050 + }, + { + "entropy": 5.7205370426177975, + "epoch": 3.079677256681795, + "grad_norm": 0.96875, + "learning_rate": 0.00044352817845638053, + "loss": 5.19, + "mean_token_accuracy": 0.1774067610502243, + "num_tokens": 6746194.0, + "step": 3055 + }, + { + "entropy": 5.671412706375122, + "epoch": 3.0847201210287443, + "grad_norm": 1.0, + "learning_rate": 0.0004432651042150833, + "loss": 5.1768, + "mean_token_accuracy": 0.17474347949028016, + "num_tokens": 6757617.0, + "step": 3060 + }, + { + "entropy": 5.6246847152709964, + "epoch": 3.0897629853756934, + "grad_norm": 1.2109375, + "learning_rate": 0.00044300150700196054, + "loss": 5.2724, + "mean_token_accuracy": 0.17038802802562714, + "num_tokens": 6770026.0, + "step": 3065 + }, + { + "entropy": 5.656072330474854, + "epoch": 3.0948058497226425, + "grad_norm": 1.140625, + "learning_rate": 0.0004427373876362786, + "loss": 5.1523, + "mean_token_accuracy": 0.17798729091882706, + "num_tokens": 6781072.0, + "step": 3070 + }, + { + "entropy": 5.605785083770752, + "epoch": 3.0998487140695916, + "grad_norm": 1.2109375, + "learning_rate": 0.0004424727469389265, + "loss": 5.1965, + "mean_token_accuracy": 0.1710650458931923, + "num_tokens": 6790758.0, + "step": 3075 + }, + { + "entropy": 5.545757865905761, + "epoch": 3.1048915784165407, + "grad_norm": 1.15625, + "learning_rate": 0.0004422075857324137, + "loss": 5.1302, + "mean_token_accuracy": 0.17503484785556794, + "num_tokens": 6800929.0, + "step": 3080 + }, + { + "entropy": 5.638562488555908, + "epoch": 3.10993444276349, + "grad_norm": 1.046875, + "learning_rate": 0.0004419419048408673, + "loss": 5.2069, + "mean_token_accuracy": 0.17085701674222947, + "num_tokens": 6811565.0, + "step": 3085 + }, + { + "entropy": 5.619118499755859, + "epoch": 3.1149773071104385, + "grad_norm": 1.046875, + "learning_rate": 0.0004416757050900297, + "loss": 5.1458, + "mean_token_accuracy": 0.17683406919240952, + "num_tokens": 6822088.0, + "step": 3090 + }, + { + "entropy": 5.572403144836426, + "epoch": 3.1200201714573876, + "grad_norm": 1.0390625, + "learning_rate": 0.0004414089873072557, + "loss": 5.2257, + "mean_token_accuracy": 0.16655576080083848, + "num_tokens": 6833032.0, + "step": 3095 + }, + { + "entropy": 5.581235647201538, + "epoch": 3.1250630358043368, + "grad_norm": 1.0703125, + "learning_rate": 0.0004411417523215105, + "loss": 5.1334, + "mean_token_accuracy": 0.17942795902490616, + "num_tokens": 6844224.0, + "step": 3100 + }, + { + "entropy": 5.653260564804077, + "epoch": 3.130105900151286, + "grad_norm": 0.99609375, + "learning_rate": 0.0004408740009633665, + "loss": 5.1862, + "mean_token_accuracy": 0.17529474645853044, + "num_tokens": 6855620.0, + "step": 3105 + }, + { + "entropy": 5.71563310623169, + "epoch": 3.135148764498235, + "grad_norm": 1.046875, + "learning_rate": 0.00044060573406500117, + "loss": 5.2117, + "mean_token_accuracy": 0.17314352393150328, + "num_tokens": 6869080.0, + "step": 3110 + }, + { + "entropy": 5.541918420791626, + "epoch": 3.140191628845184, + "grad_norm": 1.109375, + "learning_rate": 0.0004403369524601941, + "loss": 5.0713, + "mean_token_accuracy": 0.18644551634788514, + "num_tokens": 6878893.0, + "step": 3115 + }, + { + "entropy": 5.568064546585083, + "epoch": 3.145234493192133, + "grad_norm": 1.125, + "learning_rate": 0.0004400676569843249, + "loss": 5.1767, + "mean_token_accuracy": 0.17243396490812302, + "num_tokens": 6889641.0, + "step": 3120 + }, + { + "entropy": 5.574889373779297, + "epoch": 3.1502773575390823, + "grad_norm": 1.0859375, + "learning_rate": 0.00043979784847436994, + "loss": 5.1825, + "mean_token_accuracy": 0.17157595604658127, + "num_tokens": 6900930.0, + "step": 3125 + }, + { + "entropy": 5.7191845893859865, + "epoch": 3.1553202218860315, + "grad_norm": 1.078125, + "learning_rate": 0.0004395275277689004, + "loss": 5.2806, + "mean_token_accuracy": 0.17274542152881622, + "num_tokens": 6912083.0, + "step": 3130 + }, + { + "entropy": 5.633571147918701, + "epoch": 3.16036308623298, + "grad_norm": 1.0703125, + "learning_rate": 0.0004392566957080793, + "loss": 5.2492, + "mean_token_accuracy": 0.1637856423854828, + "num_tokens": 6924677.0, + "step": 3135 + }, + { + "entropy": 5.556624555587769, + "epoch": 3.1654059505799292, + "grad_norm": 1.03125, + "learning_rate": 0.00043898535313365884, + "loss": 5.1674, + "mean_token_accuracy": 0.17192815840244294, + "num_tokens": 6936148.0, + "step": 3140 + }, + { + "entropy": 5.636176872253418, + "epoch": 3.1704488149268784, + "grad_norm": 1.3203125, + "learning_rate": 0.000438713500888978, + "loss": 5.1623, + "mean_token_accuracy": 0.17791370004415513, + "num_tokens": 6945956.0, + "step": 3145 + }, + { + "entropy": 5.544927453994751, + "epoch": 3.1754916792738275, + "grad_norm": 1.0390625, + "learning_rate": 0.0004384411398189599, + "loss": 5.1143, + "mean_token_accuracy": 0.1729247212409973, + "num_tokens": 6956785.0, + "step": 3150 + }, + { + "entropy": 5.588227605819702, + "epoch": 3.1805345436207766, + "grad_norm": 1.046875, + "learning_rate": 0.000438168270770109, + "loss": 5.2307, + "mean_token_accuracy": 0.17140598893165587, + "num_tokens": 6967652.0, + "step": 3155 + }, + { + "entropy": 5.6545312881469725, + "epoch": 3.1855774079677257, + "grad_norm": 1.046875, + "learning_rate": 0.0004378948945905085, + "loss": 5.205, + "mean_token_accuracy": 0.16459373533725738, + "num_tokens": 6979682.0, + "step": 3160 + }, + { + "entropy": 5.530513000488281, + "epoch": 3.190620272314675, + "grad_norm": 1.1640625, + "learning_rate": 0.00043762101212981805, + "loss": 5.1728, + "mean_token_accuracy": 0.1710875228047371, + "num_tokens": 6989733.0, + "step": 3165 + }, + { + "entropy": 5.536697578430176, + "epoch": 3.195663136661624, + "grad_norm": 1.125, + "learning_rate": 0.00043734662423927054, + "loss": 5.1218, + "mean_token_accuracy": 0.16705944687128066, + "num_tokens": 6999713.0, + "step": 3170 + }, + { + "entropy": 5.6293610572814945, + "epoch": 3.200706001008573, + "grad_norm": 1.0859375, + "learning_rate": 0.0004370717317716699, + "loss": 5.1607, + "mean_token_accuracy": 0.1728067383170128, + "num_tokens": 7010066.0, + "step": 3175 + }, + { + "entropy": 5.566136169433594, + "epoch": 3.205748865355522, + "grad_norm": 1.171875, + "learning_rate": 0.0004367963355813882, + "loss": 5.191, + "mean_token_accuracy": 0.16791414767503737, + "num_tokens": 7020149.0, + "step": 3180 + }, + { + "entropy": 5.564663887023926, + "epoch": 3.210791729702471, + "grad_norm": 1.21875, + "learning_rate": 0.00043652043652436323, + "loss": 5.2088, + "mean_token_accuracy": 0.16811802834272385, + "num_tokens": 7031417.0, + "step": 3185 + }, + { + "entropy": 5.649209117889404, + "epoch": 3.21583459404942, + "grad_norm": 1.0234375, + "learning_rate": 0.0004362440354580956, + "loss": 5.2171, + "mean_token_accuracy": 0.1664293885231018, + "num_tokens": 7042619.0, + "step": 3190 + }, + { + "entropy": 5.573532295227051, + "epoch": 3.220877458396369, + "grad_norm": 1.0, + "learning_rate": 0.0004359671332416462, + "loss": 5.1925, + "mean_token_accuracy": 0.16897227466106415, + "num_tokens": 7054003.0, + "step": 3195 + }, + { + "entropy": 5.554476642608643, + "epoch": 3.225920322743318, + "grad_norm": 1.1953125, + "learning_rate": 0.0004356897307356335, + "loss": 5.2428, + "mean_token_accuracy": 0.17232795655727387, + "num_tokens": 7065837.0, + "step": 3200 + }, + { + "entropy": 5.677301025390625, + "epoch": 3.2309631870902673, + "grad_norm": 1.1875, + "learning_rate": 0.0004354118288022309, + "loss": 5.2262, + "mean_token_accuracy": 0.1688625156879425, + "num_tokens": 7076059.0, + "step": 3205 + }, + { + "entropy": 5.554659843444824, + "epoch": 3.2360060514372164, + "grad_norm": 1.1328125, + "learning_rate": 0.00043513342830516405, + "loss": 5.199, + "mean_token_accuracy": 0.17233071476221085, + "num_tokens": 7086163.0, + "step": 3210 + }, + { + "entropy": 5.5844423294067385, + "epoch": 3.2410489157841655, + "grad_norm": 1.140625, + "learning_rate": 0.000434854530109708, + "loss": 5.1042, + "mean_token_accuracy": 0.1778377577662468, + "num_tokens": 7096044.0, + "step": 3215 + }, + { + "entropy": 5.605183219909668, + "epoch": 3.2460917801311147, + "grad_norm": 1.03125, + "learning_rate": 0.00043457513508268487, + "loss": 5.2085, + "mean_token_accuracy": 0.16744081825017929, + "num_tokens": 7109189.0, + "step": 3220 + }, + { + "entropy": 5.528883600234986, + "epoch": 3.2511346444780633, + "grad_norm": 1.0625, + "learning_rate": 0.00043429524409246083, + "loss": 5.1615, + "mean_token_accuracy": 0.1684742361307144, + "num_tokens": 7120418.0, + "step": 3225 + }, + { + "entropy": 5.597215890884399, + "epoch": 3.2561775088250124, + "grad_norm": 1.046875, + "learning_rate": 0.0004340148580089436, + "loss": 5.2217, + "mean_token_accuracy": 0.17177551239728928, + "num_tokens": 7131895.0, + "step": 3230 + }, + { + "entropy": 5.531784629821777, + "epoch": 3.2612203731719616, + "grad_norm": 1.140625, + "learning_rate": 0.0004337339777035794, + "loss": 5.0864, + "mean_token_accuracy": 0.17491756081581117, + "num_tokens": 7141608.0, + "step": 3235 + }, + { + "entropy": 5.65837287902832, + "epoch": 3.2662632375189107, + "grad_norm": 1.015625, + "learning_rate": 0.000433452604049351, + "loss": 5.2354, + "mean_token_accuracy": 0.1671900361776352, + "num_tokens": 7153550.0, + "step": 3240 + }, + { + "entropy": 5.607674837112427, + "epoch": 3.27130610186586, + "grad_norm": 1.15625, + "learning_rate": 0.00043317073792077394, + "loss": 5.136, + "mean_token_accuracy": 0.17821951061487198, + "num_tokens": 7162945.0, + "step": 3245 + }, + { + "entropy": 5.5570567607879635, + "epoch": 3.276348966212809, + "grad_norm": 1.2109375, + "learning_rate": 0.0004328883801938947, + "loss": 5.1426, + "mean_token_accuracy": 0.17293958365917206, + "num_tokens": 7173426.0, + "step": 3250 + }, + { + "entropy": 5.569593620300293, + "epoch": 3.281391830559758, + "grad_norm": 1.2890625, + "learning_rate": 0.00043260553174628776, + "loss": 5.1181, + "mean_token_accuracy": 0.16555063426494598, + "num_tokens": 7184335.0, + "step": 3255 + }, + { + "entropy": 5.510777854919434, + "epoch": 3.286434694906707, + "grad_norm": 1.125, + "learning_rate": 0.0004323221934570524, + "loss": 5.1753, + "mean_token_accuracy": 0.17292621433734895, + "num_tokens": 7195587.0, + "step": 3260 + }, + { + "entropy": 5.657611513137818, + "epoch": 3.2914775592536563, + "grad_norm": 1.140625, + "learning_rate": 0.00043203836620681074, + "loss": 5.213, + "mean_token_accuracy": 0.1684402734041214, + "num_tokens": 7205616.0, + "step": 3265 + }, + { + "entropy": 5.532323741912842, + "epoch": 3.2965204236006054, + "grad_norm": 1.1875, + "learning_rate": 0.00043175405087770435, + "loss": 5.0848, + "mean_token_accuracy": 0.17454392611980438, + "num_tokens": 7215642.0, + "step": 3270 + }, + { + "entropy": 5.537416124343872, + "epoch": 3.301563287947554, + "grad_norm": 0.97265625, + "learning_rate": 0.00043146924835339186, + "loss": 5.1045, + "mean_token_accuracy": 0.1720063418149948, + "num_tokens": 7226607.0, + "step": 3275 + }, + { + "entropy": 5.5237953662872314, + "epoch": 3.306606152294503, + "grad_norm": 1.0078125, + "learning_rate": 0.00043118395951904605, + "loss": 5.1983, + "mean_token_accuracy": 0.16655222028493882, + "num_tokens": 7238035.0, + "step": 3280 + }, + { + "entropy": 5.620041179656982, + "epoch": 3.3116490166414523, + "grad_norm": 1.171875, + "learning_rate": 0.0004308981852613512, + "loss": 5.1871, + "mean_token_accuracy": 0.16416720151901246, + "num_tokens": 7248183.0, + "step": 3285 + }, + { + "entropy": 5.61048731803894, + "epoch": 3.3166918809884014, + "grad_norm": 0.9921875, + "learning_rate": 0.0004306119264685003, + "loss": 5.2073, + "mean_token_accuracy": 0.1729658141732216, + "num_tokens": 7260092.0, + "step": 3290 + }, + { + "entropy": 5.5868383884429935, + "epoch": 3.3217347453353505, + "grad_norm": 1.015625, + "learning_rate": 0.0004303251840301923, + "loss": 5.1853, + "mean_token_accuracy": 0.16900800466537474, + "num_tokens": 7272262.0, + "step": 3295 + }, + { + "entropy": 5.602219533920288, + "epoch": 3.3267776096822996, + "grad_norm": 1.0390625, + "learning_rate": 0.00043003795883762933, + "loss": 5.2445, + "mean_token_accuracy": 0.1740011304616928, + "num_tokens": 7283061.0, + "step": 3300 + }, + { + "entropy": 5.639716911315918, + "epoch": 3.3318204740292487, + "grad_norm": 1.1015625, + "learning_rate": 0.00042975025178351386, + "loss": 5.2361, + "mean_token_accuracy": 0.17260727137327195, + "num_tokens": 7292904.0, + "step": 3305 + }, + { + "entropy": 5.582015132904052, + "epoch": 3.336863338376198, + "grad_norm": 1.078125, + "learning_rate": 0.000429462063762046, + "loss": 5.1816, + "mean_token_accuracy": 0.1696217879652977, + "num_tokens": 7304368.0, + "step": 3310 + }, + { + "entropy": 5.599396991729736, + "epoch": 3.3419062027231465, + "grad_norm": 1.078125, + "learning_rate": 0.00042917339566892095, + "loss": 5.2711, + "mean_token_accuracy": 0.16964879333972932, + "num_tokens": 7315500.0, + "step": 3315 + }, + { + "entropy": 5.59840669631958, + "epoch": 3.3469490670700957, + "grad_norm": 1.09375, + "learning_rate": 0.0004288842484013257, + "loss": 5.141, + "mean_token_accuracy": 0.17560205608606339, + "num_tokens": 7326479.0, + "step": 3320 + }, + { + "entropy": 5.613791799545288, + "epoch": 3.3519919314170448, + "grad_norm": 1.0390625, + "learning_rate": 0.0004285946228579365, + "loss": 5.2597, + "mean_token_accuracy": 0.16658831536769866, + "num_tokens": 7338284.0, + "step": 3325 + }, + { + "entropy": 5.645831203460693, + "epoch": 3.357034795763994, + "grad_norm": 1.140625, + "learning_rate": 0.0004283045199389164, + "loss": 5.1938, + "mean_token_accuracy": 0.16851962357759476, + "num_tokens": 7348601.0, + "step": 3330 + }, + { + "entropy": 5.586950302124023, + "epoch": 3.362077660110943, + "grad_norm": 1.0, + "learning_rate": 0.00042801394054591197, + "loss": 5.2191, + "mean_token_accuracy": 0.1698923408985138, + "num_tokens": 7360282.0, + "step": 3335 + }, + { + "entropy": 5.636523103713989, + "epoch": 3.367120524457892, + "grad_norm": 1.125, + "learning_rate": 0.00042772288558205057, + "loss": 5.204, + "mean_token_accuracy": 0.17189548760652543, + "num_tokens": 7371377.0, + "step": 3340 + }, + { + "entropy": 5.523115110397339, + "epoch": 3.3721633888048412, + "grad_norm": 1.2265625, + "learning_rate": 0.0004274313559519377, + "loss": 5.1369, + "mean_token_accuracy": 0.17882900387048722, + "num_tokens": 7381895.0, + "step": 3345 + }, + { + "entropy": 5.621546792984009, + "epoch": 3.3772062531517903, + "grad_norm": 1.09375, + "learning_rate": 0.0004271393525616544, + "loss": 5.2463, + "mean_token_accuracy": 0.1715021014213562, + "num_tokens": 7393211.0, + "step": 3350 + }, + { + "entropy": 5.56148624420166, + "epoch": 3.3822491174987395, + "grad_norm": 1.0703125, + "learning_rate": 0.00042684687631875377, + "loss": 5.178, + "mean_token_accuracy": 0.1684443712234497, + "num_tokens": 7404618.0, + "step": 3355 + }, + { + "entropy": 5.640697002410889, + "epoch": 3.3872919818456886, + "grad_norm": 1.109375, + "learning_rate": 0.00042655392813225864, + "loss": 5.1458, + "mean_token_accuracy": 0.17137933224439622, + "num_tokens": 7415467.0, + "step": 3360 + }, + { + "entropy": 5.532991790771485, + "epoch": 3.3923348461926373, + "grad_norm": 1.140625, + "learning_rate": 0.00042626050891265884, + "loss": 5.1787, + "mean_token_accuracy": 0.17038492113351822, + "num_tokens": 7426594.0, + "step": 3365 + }, + { + "entropy": 5.627938890457154, + "epoch": 3.3973777105395864, + "grad_norm": 1.2890625, + "learning_rate": 0.0004259666195719081, + "loss": 5.2112, + "mean_token_accuracy": 0.17373456209897994, + "num_tokens": 7436920.0, + "step": 3370 + }, + { + "entropy": 5.611821985244751, + "epoch": 3.4024205748865355, + "grad_norm": 1.203125, + "learning_rate": 0.00042567226102342134, + "loss": 5.2864, + "mean_token_accuracy": 0.1682152509689331, + "num_tokens": 7448499.0, + "step": 3375 + }, + { + "entropy": 5.56901707649231, + "epoch": 3.4074634392334846, + "grad_norm": 1.171875, + "learning_rate": 0.0004253774341820715, + "loss": 5.1987, + "mean_token_accuracy": 0.17500097304582596, + "num_tokens": 7459788.0, + "step": 3380 + }, + { + "entropy": 5.630524682998657, + "epoch": 3.4125063035804337, + "grad_norm": 1.1640625, + "learning_rate": 0.0004250821399641874, + "loss": 5.1772, + "mean_token_accuracy": 0.1729726031422615, + "num_tokens": 7472387.0, + "step": 3385 + }, + { + "entropy": 5.558799314498901, + "epoch": 3.417549167927383, + "grad_norm": 1.0859375, + "learning_rate": 0.0004247863792875502, + "loss": 5.1668, + "mean_token_accuracy": 0.17443351447582245, + "num_tokens": 7483242.0, + "step": 3390 + }, + { + "entropy": 5.50960865020752, + "epoch": 3.422592032274332, + "grad_norm": 1.1328125, + "learning_rate": 0.00042449015307139076, + "loss": 5.2067, + "mean_token_accuracy": 0.17049969583749772, + "num_tokens": 7494908.0, + "step": 3395 + }, + { + "entropy": 5.585347986221313, + "epoch": 3.427634896621281, + "grad_norm": 1.15625, + "learning_rate": 0.00042419346223638725, + "loss": 5.2319, + "mean_token_accuracy": 0.1668471336364746, + "num_tokens": 7505468.0, + "step": 3400 + }, + { + "entropy": 5.6179139614105225, + "epoch": 3.4326777609682297, + "grad_norm": 1.0390625, + "learning_rate": 0.0004238963077046616, + "loss": 5.2232, + "mean_token_accuracy": 0.165214341878891, + "num_tokens": 7517281.0, + "step": 3405 + }, + { + "entropy": 5.544996356964111, + "epoch": 3.437720625315179, + "grad_norm": 0.9296875, + "learning_rate": 0.0004235986903997767, + "loss": 5.1942, + "mean_token_accuracy": 0.16933305859565734, + "num_tokens": 7528680.0, + "step": 3410 + }, + { + "entropy": 5.556524276733398, + "epoch": 3.442763489662128, + "grad_norm": 1.1953125, + "learning_rate": 0.00042330061124673437, + "loss": 5.1999, + "mean_token_accuracy": 0.16344990730285644, + "num_tokens": 7540927.0, + "step": 3415 + }, + { + "entropy": 5.627091646194458, + "epoch": 3.447806354009077, + "grad_norm": 1.1328125, + "learning_rate": 0.00042300207117197116, + "loss": 5.2198, + "mean_token_accuracy": 0.17462050765752793, + "num_tokens": 7551827.0, + "step": 3420 + }, + { + "entropy": 5.555369091033936, + "epoch": 3.452849218356026, + "grad_norm": 1.0546875, + "learning_rate": 0.00042270307110335657, + "loss": 5.1695, + "mean_token_accuracy": 0.17428209483623505, + "num_tokens": 7561721.0, + "step": 3425 + }, + { + "entropy": 5.566034984588623, + "epoch": 3.4578920827029753, + "grad_norm": 1.0546875, + "learning_rate": 0.0004224036119701899, + "loss": 5.2021, + "mean_token_accuracy": 0.1652482956647873, + "num_tokens": 7571932.0, + "step": 3430 + }, + { + "entropy": 5.629524374008179, + "epoch": 3.4629349470499244, + "grad_norm": 1.265625, + "learning_rate": 0.00042210369470319694, + "loss": 5.1684, + "mean_token_accuracy": 0.17760788053274154, + "num_tokens": 7581859.0, + "step": 3435 + }, + { + "entropy": 5.498959589004516, + "epoch": 3.4679778113968736, + "grad_norm": 1.1875, + "learning_rate": 0.0004218033202345274, + "loss": 5.1651, + "mean_token_accuracy": 0.16923027336597443, + "num_tokens": 7592811.0, + "step": 3440 + }, + { + "entropy": 5.609005641937256, + "epoch": 3.4730206757438227, + "grad_norm": 1.1953125, + "learning_rate": 0.0004215024894977522, + "loss": 5.2602, + "mean_token_accuracy": 0.16206480115652083, + "num_tokens": 7604332.0, + "step": 3445 + }, + { + "entropy": 5.537288188934326, + "epoch": 3.478063540090772, + "grad_norm": 1.1328125, + "learning_rate": 0.0004212012034278601, + "loss": 5.201, + "mean_token_accuracy": 0.16690837293863298, + "num_tokens": 7615387.0, + "step": 3450 + }, + { + "entropy": 5.572259140014649, + "epoch": 3.4831064044377205, + "grad_norm": 1.109375, + "learning_rate": 0.00042089946296125513, + "loss": 5.249, + "mean_token_accuracy": 0.1678703710436821, + "num_tokens": 7627381.0, + "step": 3455 + }, + { + "entropy": 5.603390121459961, + "epoch": 3.4881492687846696, + "grad_norm": 1.234375, + "learning_rate": 0.00042059726903575373, + "loss": 5.1732, + "mean_token_accuracy": 0.16659764498472213, + "num_tokens": 7637327.0, + "step": 3460 + }, + { + "entropy": 5.4189528465271, + "epoch": 3.4931921331316187, + "grad_norm": 1.1484375, + "learning_rate": 0.0004202946225905815, + "loss": 5.1187, + "mean_token_accuracy": 0.17738016843795776, + "num_tokens": 7647709.0, + "step": 3465 + }, + { + "entropy": 5.524550342559815, + "epoch": 3.498234997478568, + "grad_norm": 1.0078125, + "learning_rate": 0.0004199915245663706, + "loss": 5.2145, + "mean_token_accuracy": 0.16580404192209244, + "num_tokens": 7660003.0, + "step": 3470 + }, + { + "entropy": 5.57571120262146, + "epoch": 3.503277861825517, + "grad_norm": 1.2265625, + "learning_rate": 0.00041968797590515673, + "loss": 5.1456, + "mean_token_accuracy": 0.17444880902767182, + "num_tokens": 7671667.0, + "step": 3475 + }, + { + "entropy": 5.544626379013062, + "epoch": 3.508320726172466, + "grad_norm": 1.203125, + "learning_rate": 0.0004193839775503761, + "loss": 5.1862, + "mean_token_accuracy": 0.1735386520624161, + "num_tokens": 7682653.0, + "step": 3480 + }, + { + "entropy": 5.5591529369354244, + "epoch": 3.513363590519415, + "grad_norm": 1.1171875, + "learning_rate": 0.00041907953044686253, + "loss": 5.2008, + "mean_token_accuracy": 0.17169943004846572, + "num_tokens": 7693834.0, + "step": 3485 + }, + { + "entropy": 5.597692251205444, + "epoch": 3.518406454866364, + "grad_norm": 0.93359375, + "learning_rate": 0.0004187746355408448, + "loss": 5.2987, + "mean_token_accuracy": 0.16503139734268188, + "num_tokens": 7706323.0, + "step": 3490 + }, + { + "entropy": 5.621932125091552, + "epoch": 3.523449319213313, + "grad_norm": 1.0078125, + "learning_rate": 0.0004184692937799431, + "loss": 5.2134, + "mean_token_accuracy": 0.17117932587862014, + "num_tokens": 7719019.0, + "step": 3495 + }, + { + "entropy": 5.534463167190552, + "epoch": 3.528492183560262, + "grad_norm": 1.1015625, + "learning_rate": 0.00041816350611316693, + "loss": 5.1635, + "mean_token_accuracy": 0.16748429834842682, + "num_tokens": 7729312.0, + "step": 3500 + }, + { + "entropy": 5.477231693267822, + "epoch": 3.533535047907211, + "grad_norm": 1.1875, + "learning_rate": 0.00041785727349091117, + "loss": 5.1077, + "mean_token_accuracy": 0.18037325739860535, + "num_tokens": 7739049.0, + "step": 3505 + }, + { + "entropy": 5.546959733963012, + "epoch": 3.5385779122541603, + "grad_norm": 1.140625, + "learning_rate": 0.000417550596864954, + "loss": 5.2936, + "mean_token_accuracy": 0.1701042428612709, + "num_tokens": 7750076.0, + "step": 3510 + }, + { + "entropy": 5.585612487792969, + "epoch": 3.5436207766011094, + "grad_norm": 1.171875, + "learning_rate": 0.00041724347718845344, + "loss": 5.1787, + "mean_token_accuracy": 0.17000592797994613, + "num_tokens": 7761442.0, + "step": 3515 + }, + { + "entropy": 5.61525149345398, + "epoch": 3.5486636409480585, + "grad_norm": 1.1015625, + "learning_rate": 0.00041693591541594455, + "loss": 5.1629, + "mean_token_accuracy": 0.17229202687740325, + "num_tokens": 7772061.0, + "step": 3520 + }, + { + "entropy": 5.5182301044464115, + "epoch": 3.5537065052950076, + "grad_norm": 0.97265625, + "learning_rate": 0.0004166279125033363, + "loss": 5.1521, + "mean_token_accuracy": 0.1691966325044632, + "num_tokens": 7783200.0, + "step": 3525 + }, + { + "entropy": 5.538359928131103, + "epoch": 3.5587493696419568, + "grad_norm": 1.1484375, + "learning_rate": 0.00041631946940790893, + "loss": 5.2372, + "mean_token_accuracy": 0.169610658288002, + "num_tokens": 7793737.0, + "step": 3530 + }, + { + "entropy": 5.606062221527099, + "epoch": 3.563792233988906, + "grad_norm": 1.046875, + "learning_rate": 0.00041601058708831077, + "loss": 5.1918, + "mean_token_accuracy": 0.16978860646486282, + "num_tokens": 7804894.0, + "step": 3535 + }, + { + "entropy": 5.522193765640258, + "epoch": 3.568835098335855, + "grad_norm": 1.078125, + "learning_rate": 0.000415701266504555, + "loss": 5.1683, + "mean_token_accuracy": 0.16874499917030333, + "num_tokens": 7815773.0, + "step": 3540 + }, + { + "entropy": 5.513698244094849, + "epoch": 3.5738779626828037, + "grad_norm": 1.1015625, + "learning_rate": 0.0004153915086180173, + "loss": 5.2102, + "mean_token_accuracy": 0.1681763008236885, + "num_tokens": 7825857.0, + "step": 3545 + }, + { + "entropy": 5.572156953811645, + "epoch": 3.578920827029753, + "grad_norm": 1.15625, + "learning_rate": 0.0004150813143914323, + "loss": 5.2316, + "mean_token_accuracy": 0.17015199810266496, + "num_tokens": 7836878.0, + "step": 3550 + }, + { + "entropy": 5.5560825824737545, + "epoch": 3.583963691376702, + "grad_norm": 1.171875, + "learning_rate": 0.0004147706847888908, + "loss": 5.1864, + "mean_token_accuracy": 0.17338349372148515, + "num_tokens": 7848382.0, + "step": 3555 + }, + { + "entropy": 5.492858743667602, + "epoch": 3.589006555723651, + "grad_norm": 1.4140625, + "learning_rate": 0.0004144596207758367, + "loss": 5.1072, + "mean_token_accuracy": 0.17649791538715362, + "num_tokens": 7858736.0, + "step": 3560 + }, + { + "entropy": 5.462978792190552, + "epoch": 3.5940494200706, + "grad_norm": 1.0859375, + "learning_rate": 0.0004141481233190642, + "loss": 5.1454, + "mean_token_accuracy": 0.16892780661582946, + "num_tokens": 7869396.0, + "step": 3565 + }, + { + "entropy": 5.531047677993774, + "epoch": 3.5990922844175492, + "grad_norm": 1.203125, + "learning_rate": 0.0004138361933867145, + "loss": 5.1796, + "mean_token_accuracy": 0.17372691184282302, + "num_tokens": 7880072.0, + "step": 3570 + }, + { + "entropy": 5.568310928344727, + "epoch": 3.6041351487644984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004135238319482731, + "loss": 5.2331, + "mean_token_accuracy": 0.16947868466377258, + "num_tokens": 7892011.0, + "step": 3575 + }, + { + "entropy": 5.589046621322632, + "epoch": 3.609178013111447, + "grad_norm": 1.1640625, + "learning_rate": 0.0004132110399745666, + "loss": 5.2212, + "mean_token_accuracy": 0.16981034129858016, + "num_tokens": 7903586.0, + "step": 3580 + }, + { + "entropy": 5.527681827545166, + "epoch": 3.614220877458396, + "grad_norm": 1.109375, + "learning_rate": 0.0004128978184377596, + "loss": 5.1576, + "mean_token_accuracy": 0.16689536422491075, + "num_tokens": 7912999.0, + "step": 3585 + }, + { + "entropy": 5.544303846359253, + "epoch": 3.6192637418053453, + "grad_norm": 1.2109375, + "learning_rate": 0.0004125841683113518, + "loss": 5.1951, + "mean_token_accuracy": 0.17250838726758957, + "num_tokens": 7924969.0, + "step": 3590 + }, + { + "entropy": 5.594044017791748, + "epoch": 3.6243066061522944, + "grad_norm": 1.078125, + "learning_rate": 0.00041227009057017523, + "loss": 5.2287, + "mean_token_accuracy": 0.17300127297639847, + "num_tokens": 7936811.0, + "step": 3595 + }, + { + "entropy": 5.580919218063355, + "epoch": 3.6293494704992435, + "grad_norm": 1.1953125, + "learning_rate": 0.0004119555861903906, + "loss": 5.1112, + "mean_token_accuracy": 0.17159901559352875, + "num_tokens": 7946886.0, + "step": 3600 + }, + { + "entropy": 5.598188829421997, + "epoch": 3.6343923348461926, + "grad_norm": 1.0703125, + "learning_rate": 0.0004116406561494847, + "loss": 5.2436, + "mean_token_accuracy": 0.16683561801910402, + "num_tokens": 7960485.0, + "step": 3605 + }, + { + "entropy": 5.525617361068726, + "epoch": 3.6394351991931417, + "grad_norm": 1.0703125, + "learning_rate": 0.00041132530142626756, + "loss": 5.1817, + "mean_token_accuracy": 0.1733034983277321, + "num_tokens": 7971460.0, + "step": 3610 + }, + { + "entropy": 5.5784553527832035, + "epoch": 3.644478063540091, + "grad_norm": 1.15625, + "learning_rate": 0.00041100952300086884, + "loss": 5.2436, + "mean_token_accuracy": 0.16418713033199311, + "num_tokens": 7984060.0, + "step": 3615 + }, + { + "entropy": 5.591583967208862, + "epoch": 3.64952092788704, + "grad_norm": 1.03125, + "learning_rate": 0.00041069332185473514, + "loss": 5.2653, + "mean_token_accuracy": 0.1742211565375328, + "num_tokens": 7996547.0, + "step": 3620 + }, + { + "entropy": 5.575674962997437, + "epoch": 3.654563792233989, + "grad_norm": 1.1171875, + "learning_rate": 0.000410376698970627, + "loss": 5.1662, + "mean_token_accuracy": 0.17636522203683852, + "num_tokens": 8006952.0, + "step": 3625 + }, + { + "entropy": 5.547354316711425, + "epoch": 3.659606656580938, + "grad_norm": 1.09375, + "learning_rate": 0.00041005965533261554, + "loss": 5.3228, + "mean_token_accuracy": 0.1653442472219467, + "num_tokens": 8020293.0, + "step": 3630 + }, + { + "entropy": 5.541851329803467, + "epoch": 3.6646495209278873, + "grad_norm": 1.1640625, + "learning_rate": 0.00040974219192607973, + "loss": 5.1685, + "mean_token_accuracy": 0.1649821951985359, + "num_tokens": 8030736.0, + "step": 3635 + }, + { + "entropy": 5.5063081741333, + "epoch": 3.669692385274836, + "grad_norm": 1.078125, + "learning_rate": 0.00040942430973770323, + "loss": 5.1576, + "mean_token_accuracy": 0.1750467225909233, + "num_tokens": 8041206.0, + "step": 3640 + }, + { + "entropy": 5.603054332733154, + "epoch": 3.674735249621785, + "grad_norm": 1.1328125, + "learning_rate": 0.0004091060097554712, + "loss": 5.1878, + "mean_token_accuracy": 0.16984860897064208, + "num_tokens": 8052549.0, + "step": 3645 + }, + { + "entropy": 5.589501905441284, + "epoch": 3.679778113968734, + "grad_norm": 1.2109375, + "learning_rate": 0.0004087872929686673, + "loss": 5.2318, + "mean_token_accuracy": 0.16828680634498597, + "num_tokens": 8064011.0, + "step": 3650 + }, + { + "entropy": 5.503438901901245, + "epoch": 3.6848209783156833, + "grad_norm": 1.0703125, + "learning_rate": 0.00040846816036787056, + "loss": 5.0901, + "mean_token_accuracy": 0.17338352501392365, + "num_tokens": 8074824.0, + "step": 3655 + }, + { + "entropy": 5.588330602645874, + "epoch": 3.6898638426626325, + "grad_norm": 0.98046875, + "learning_rate": 0.0004081486129449527, + "loss": 5.2096, + "mean_token_accuracy": 0.16712614744901658, + "num_tokens": 8086207.0, + "step": 3660 + }, + { + "entropy": 5.569873952865601, + "epoch": 3.6949067070095816, + "grad_norm": 0.94140625, + "learning_rate": 0.00040782865169307423, + "loss": 5.0798, + "mean_token_accuracy": 0.18110066801309585, + "num_tokens": 8097384.0, + "step": 3665 + }, + { + "entropy": 5.458026647567749, + "epoch": 3.6999495713565302, + "grad_norm": 0.9453125, + "learning_rate": 0.0004075082776066822, + "loss": 5.094, + "mean_token_accuracy": 0.1761010468006134, + "num_tokens": 8110306.0, + "step": 3670 + }, + { + "entropy": 5.500713920593261, + "epoch": 3.7049924357034794, + "grad_norm": 1.0859375, + "learning_rate": 0.0004071874916815068, + "loss": 5.179, + "mean_token_accuracy": 0.16946810930967332, + "num_tokens": 8121120.0, + "step": 3675 + }, + { + "entropy": 5.614670181274414, + "epoch": 3.7100353000504285, + "grad_norm": 0.98046875, + "learning_rate": 0.00040686629491455787, + "loss": 5.1903, + "mean_token_accuracy": 0.16760142594575883, + "num_tokens": 8131657.0, + "step": 3680 + }, + { + "entropy": 5.521497011184692, + "epoch": 3.7150781643973776, + "grad_norm": 1.234375, + "learning_rate": 0.00040654468830412247, + "loss": 5.0926, + "mean_token_accuracy": 0.18021889328956603, + "num_tokens": 8141846.0, + "step": 3685 + }, + { + "entropy": 5.584207773208618, + "epoch": 3.7201210287443267, + "grad_norm": 1.171875, + "learning_rate": 0.00040622267284976134, + "loss": 5.2331, + "mean_token_accuracy": 0.1693637952208519, + "num_tokens": 8152713.0, + "step": 3690 + }, + { + "entropy": 5.461621713638306, + "epoch": 3.725163893091276, + "grad_norm": 1.03125, + "learning_rate": 0.00040590024955230596, + "loss": 5.0776, + "mean_token_accuracy": 0.17957098335027694, + "num_tokens": 8164805.0, + "step": 3695 + }, + { + "entropy": 5.630222606658935, + "epoch": 3.730206757438225, + "grad_norm": 1.1171875, + "learning_rate": 0.0004055774194138554, + "loss": 5.3166, + "mean_token_accuracy": 0.16696483343839646, + "num_tokens": 8176932.0, + "step": 3700 + }, + { + "entropy": 5.579493188858033, + "epoch": 3.735249621785174, + "grad_norm": 0.97265625, + "learning_rate": 0.0004052541834377731, + "loss": 5.1268, + "mean_token_accuracy": 0.17967449724674225, + "num_tokens": 8189199.0, + "step": 3705 + }, + { + "entropy": 5.4520971298217775, + "epoch": 3.740292486132123, + "grad_norm": 1.0, + "learning_rate": 0.00040493054262868397, + "loss": 5.127, + "mean_token_accuracy": 0.17680779993534088, + "num_tokens": 8200132.0, + "step": 3710 + }, + { + "entropy": 5.561750507354736, + "epoch": 3.7453353504790723, + "grad_norm": 1.015625, + "learning_rate": 0.00040460649799247116, + "loss": 5.1938, + "mean_token_accuracy": 0.16911092400550842, + "num_tokens": 8211392.0, + "step": 3715 + }, + { + "entropy": 5.5382912158966064, + "epoch": 3.7503782148260214, + "grad_norm": 0.984375, + "learning_rate": 0.0004042820505362728, + "loss": 5.1677, + "mean_token_accuracy": 0.17133865207433702, + "num_tokens": 8222831.0, + "step": 3720 + }, + { + "entropy": 5.500017786026001, + "epoch": 3.7554210791729705, + "grad_norm": 1.1640625, + "learning_rate": 0.0004039572012684792, + "loss": 5.2038, + "mean_token_accuracy": 0.17324525117874146, + "num_tokens": 8234077.0, + "step": 3725 + }, + { + "entropy": 5.593252038955688, + "epoch": 3.760463943519919, + "grad_norm": 1.1640625, + "learning_rate": 0.00040363195119872916, + "loss": 5.259, + "mean_token_accuracy": 0.1709211975336075, + "num_tokens": 8245419.0, + "step": 3730 + }, + { + "entropy": 5.679217767715454, + "epoch": 3.7655068078668683, + "grad_norm": 1.1640625, + "learning_rate": 0.00040330630133790757, + "loss": 5.3014, + "mean_token_accuracy": 0.16429313123226166, + "num_tokens": 8256185.0, + "step": 3735 + }, + { + "entropy": 5.458292388916016, + "epoch": 3.7705496722138174, + "grad_norm": 1.203125, + "learning_rate": 0.00040298025269814165, + "loss": 5.1148, + "mean_token_accuracy": 0.17420152872800826, + "num_tokens": 8265812.0, + "step": 3740 + }, + { + "entropy": 5.533199834823608, + "epoch": 3.7755925365607665, + "grad_norm": 1.171875, + "learning_rate": 0.0004026538062927981, + "loss": 5.1061, + "mean_token_accuracy": 0.17417732179164885, + "num_tokens": 8275544.0, + "step": 3745 + }, + { + "entropy": 5.48965048789978, + "epoch": 3.7806354009077157, + "grad_norm": 1.0625, + "learning_rate": 0.00040232696313647985, + "loss": 5.1825, + "mean_token_accuracy": 0.17443122416734697, + "num_tokens": 8286774.0, + "step": 3750 + }, + { + "entropy": 5.505076122283936, + "epoch": 3.7856782652546648, + "grad_norm": 1.171875, + "learning_rate": 0.0004019997242450231, + "loss": 5.2117, + "mean_token_accuracy": 0.16918815523386002, + "num_tokens": 8298027.0, + "step": 3755 + }, + { + "entropy": 5.622967720031738, + "epoch": 3.7907211296016134, + "grad_norm": 1.0625, + "learning_rate": 0.0004016720906354937, + "loss": 5.2663, + "mean_token_accuracy": 0.1656852439045906, + "num_tokens": 8308574.0, + "step": 3760 + }, + { + "entropy": 5.532533407211304, + "epoch": 3.7957639939485626, + "grad_norm": 1.234375, + "learning_rate": 0.0004013440633261845, + "loss": 5.1606, + "mean_token_accuracy": 0.179658842086792, + "num_tokens": 8318085.0, + "step": 3765 + }, + { + "entropy": 5.482535552978516, + "epoch": 3.8008068582955117, + "grad_norm": 1.2578125, + "learning_rate": 0.00040101564333661213, + "loss": 5.1024, + "mean_token_accuracy": 0.1797365203499794, + "num_tokens": 8328470.0, + "step": 3770 + }, + { + "entropy": 5.5581197261810305, + "epoch": 3.805849722642461, + "grad_norm": 1.109375, + "learning_rate": 0.00040068683168751316, + "loss": 5.238, + "mean_token_accuracy": 0.16978387236595155, + "num_tokens": 8338680.0, + "step": 3775 + }, + { + "entropy": 5.529878234863281, + "epoch": 3.81089258698941, + "grad_norm": 1.078125, + "learning_rate": 0.00040035762940084205, + "loss": 5.1641, + "mean_token_accuracy": 0.1718604162335396, + "num_tokens": 8349926.0, + "step": 3780 + }, + { + "entropy": 5.543536138534546, + "epoch": 3.815935451336359, + "grad_norm": 1.0703125, + "learning_rate": 0.000400028037499767, + "loss": 5.2463, + "mean_token_accuracy": 0.166019806265831, + "num_tokens": 8361035.0, + "step": 3785 + }, + { + "entropy": 5.6012788772583, + "epoch": 3.820978315683308, + "grad_norm": 1.2890625, + "learning_rate": 0.0003996980570086673, + "loss": 5.1466, + "mean_token_accuracy": 0.1742403820157051, + "num_tokens": 8371201.0, + "step": 3790 + }, + { + "entropy": 5.442079782485962, + "epoch": 3.8260211800302573, + "grad_norm": 1.1875, + "learning_rate": 0.00039936768895312987, + "loss": 5.0571, + "mean_token_accuracy": 0.1846223682165146, + "num_tokens": 8382078.0, + "step": 3795 + }, + { + "entropy": 5.448010444641113, + "epoch": 3.8310640443772064, + "grad_norm": 0.953125, + "learning_rate": 0.00039903693435994626, + "loss": 5.1149, + "mean_token_accuracy": 0.16895634680986404, + "num_tokens": 8394072.0, + "step": 3800 + }, + { + "entropy": 5.537779521942139, + "epoch": 3.8361069087241555, + "grad_norm": 1.109375, + "learning_rate": 0.00039870579425710937, + "loss": 5.2554, + "mean_token_accuracy": 0.169295272231102, + "num_tokens": 8405077.0, + "step": 3805 + }, + { + "entropy": 5.54584436416626, + "epoch": 3.8411497730711046, + "grad_norm": 1.1015625, + "learning_rate": 0.0003983742696738103, + "loss": 5.2189, + "mean_token_accuracy": 0.17123345285654068, + "num_tokens": 8416009.0, + "step": 3810 + }, + { + "entropy": 5.544118452072143, + "epoch": 3.8461926374180537, + "grad_norm": 1.1171875, + "learning_rate": 0.0003980423616404351, + "loss": 5.2399, + "mean_token_accuracy": 0.16529951393604278, + "num_tokens": 8426756.0, + "step": 3815 + }, + { + "entropy": 5.606235837936401, + "epoch": 3.8512355017650024, + "grad_norm": 1.1796875, + "learning_rate": 0.0003977100711885616, + "loss": 5.1831, + "mean_token_accuracy": 0.17143406420946122, + "num_tokens": 8438052.0, + "step": 3820 + }, + { + "entropy": 5.504273700714111, + "epoch": 3.8562783661119515, + "grad_norm": 1.1171875, + "learning_rate": 0.00039737739935095614, + "loss": 5.1765, + "mean_token_accuracy": 0.1669452667236328, + "num_tokens": 8448481.0, + "step": 3825 + }, + { + "entropy": 5.53804202079773, + "epoch": 3.8613212304589006, + "grad_norm": 1.1484375, + "learning_rate": 0.0003970443471615705, + "loss": 5.2245, + "mean_token_accuracy": 0.165435391664505, + "num_tokens": 8460199.0, + "step": 3830 + }, + { + "entropy": 5.603448534011841, + "epoch": 3.8663640948058497, + "grad_norm": 1.328125, + "learning_rate": 0.0003967109156555386, + "loss": 5.1554, + "mean_token_accuracy": 0.1741995930671692, + "num_tokens": 8470842.0, + "step": 3835 + }, + { + "entropy": 5.599123954772949, + "epoch": 3.871406959152799, + "grad_norm": 1.09375, + "learning_rate": 0.00039637710586917324, + "loss": 5.2734, + "mean_token_accuracy": 0.1638499453663826, + "num_tokens": 8482631.0, + "step": 3840 + }, + { + "entropy": 5.530108976364136, + "epoch": 3.876449823499748, + "grad_norm": 1.0078125, + "learning_rate": 0.00039604291883996287, + "loss": 5.1292, + "mean_token_accuracy": 0.16958068907260895, + "num_tokens": 8495178.0, + "step": 3845 + }, + { + "entropy": 5.548141574859619, + "epoch": 3.8814926878466967, + "grad_norm": 1.1484375, + "learning_rate": 0.00039570835560656854, + "loss": 5.1354, + "mean_token_accuracy": 0.18214099258184432, + "num_tokens": 8505257.0, + "step": 3850 + }, + { + "entropy": 5.552135944366455, + "epoch": 3.8865355521936458, + "grad_norm": 1.1796875, + "learning_rate": 0.0003953734172088205, + "loss": 5.2628, + "mean_token_accuracy": 0.16553220599889756, + "num_tokens": 8517124.0, + "step": 3855 + }, + { + "entropy": 5.474930334091186, + "epoch": 3.891578416540595, + "grad_norm": 1.0625, + "learning_rate": 0.00039503810468771494, + "loss": 5.1272, + "mean_token_accuracy": 0.17467139214277266, + "num_tokens": 8528201.0, + "step": 3860 + }, + { + "entropy": 5.552065467834472, + "epoch": 3.896621280887544, + "grad_norm": 1.046875, + "learning_rate": 0.0003947024190854111, + "loss": 5.276, + "mean_token_accuracy": 0.16642479002475738, + "num_tokens": 8539900.0, + "step": 3865 + }, + { + "entropy": 5.5774843215942385, + "epoch": 3.901664145234493, + "grad_norm": 1.15625, + "learning_rate": 0.00039436636144522737, + "loss": 5.2117, + "mean_token_accuracy": 0.17163171470165253, + "num_tokens": 8549199.0, + "step": 3870 + }, + { + "entropy": 5.547877407073974, + "epoch": 3.9067070095814422, + "grad_norm": 1.046875, + "learning_rate": 0.00039402993281163875, + "loss": 5.1093, + "mean_token_accuracy": 0.16864251494407653, + "num_tokens": 8560626.0, + "step": 3875 + }, + { + "entropy": 5.571566009521485, + "epoch": 3.9117498739283914, + "grad_norm": 1.109375, + "learning_rate": 0.0003936931342302732, + "loss": 5.2851, + "mean_token_accuracy": 0.16724284142255783, + "num_tokens": 8571706.0, + "step": 3880 + }, + { + "entropy": 5.540174150466919, + "epoch": 3.9167927382753405, + "grad_norm": 1.1640625, + "learning_rate": 0.0003933559667479084, + "loss": 5.2048, + "mean_token_accuracy": 0.1692056193947792, + "num_tokens": 8583101.0, + "step": 3885 + }, + { + "entropy": 5.600929307937622, + "epoch": 3.9218356026222896, + "grad_norm": 1.109375, + "learning_rate": 0.00039301843141246876, + "loss": 5.2951, + "mean_token_accuracy": 0.16274531185626984, + "num_tokens": 8594742.0, + "step": 3890 + }, + { + "entropy": 5.540600728988648, + "epoch": 3.9268784669692387, + "grad_norm": 1.0625, + "learning_rate": 0.00039268052927302185, + "loss": 5.1725, + "mean_token_accuracy": 0.17035382688045503, + "num_tokens": 8606609.0, + "step": 3895 + }, + { + "entropy": 5.531373834609985, + "epoch": 3.931921331316188, + "grad_norm": 1.1015625, + "learning_rate": 0.0003923422613797753, + "loss": 5.1982, + "mean_token_accuracy": 0.17010482251644135, + "num_tokens": 8618291.0, + "step": 3900 + }, + { + "entropy": 5.605801773071289, + "epoch": 3.936964195663137, + "grad_norm": 1.0703125, + "learning_rate": 0.0003920036287840734, + "loss": 5.2477, + "mean_token_accuracy": 0.1721893161535263, + "num_tokens": 8629850.0, + "step": 3905 + }, + { + "entropy": 5.514268398284912, + "epoch": 3.9420070600100856, + "grad_norm": 1.0546875, + "learning_rate": 0.00039166463253839434, + "loss": 5.2419, + "mean_token_accuracy": 0.1722009301185608, + "num_tokens": 8640363.0, + "step": 3910 + }, + { + "entropy": 5.500269651412964, + "epoch": 3.9470499243570347, + "grad_norm": 0.93359375, + "learning_rate": 0.0003913252736963462, + "loss": 5.2264, + "mean_token_accuracy": 0.17108370512723922, + "num_tokens": 8651869.0, + "step": 3915 + }, + { + "entropy": 5.567825078964233, + "epoch": 3.952092788703984, + "grad_norm": 1.1171875, + "learning_rate": 0.000390985553312664, + "loss": 5.0944, + "mean_token_accuracy": 0.17673670500516891, + "num_tokens": 8662032.0, + "step": 3920 + }, + { + "entropy": 5.550057506561279, + "epoch": 3.957135653050933, + "grad_norm": 1.0390625, + "learning_rate": 0.0003906454724432065, + "loss": 5.1629, + "mean_token_accuracy": 0.17670822143554688, + "num_tokens": 8673186.0, + "step": 3925 + }, + { + "entropy": 5.504792022705078, + "epoch": 3.962178517397882, + "grad_norm": 1.0546875, + "learning_rate": 0.00039030503214495296, + "loss": 5.0819, + "mean_token_accuracy": 0.18184632956981658, + "num_tokens": 8683176.0, + "step": 3930 + }, + { + "entropy": 5.47991909980774, + "epoch": 3.967221381744831, + "grad_norm": 0.984375, + "learning_rate": 0.0003899642334759996, + "loss": 5.1435, + "mean_token_accuracy": 0.1776417836546898, + "num_tokens": 8694799.0, + "step": 3935 + }, + { + "entropy": 5.562114810943603, + "epoch": 3.97226424609178, + "grad_norm": 0.99609375, + "learning_rate": 0.0003896230774955567, + "loss": 5.1989, + "mean_token_accuracy": 0.17264344543218613, + "num_tokens": 8706356.0, + "step": 3940 + }, + { + "entropy": 5.471002006530762, + "epoch": 3.977307110438729, + "grad_norm": 1.0234375, + "learning_rate": 0.00038928156526394476, + "loss": 5.1266, + "mean_token_accuracy": 0.17723785936832429, + "num_tokens": 8717340.0, + "step": 3945 + }, + { + "entropy": 5.4876954555511475, + "epoch": 3.982349974785678, + "grad_norm": 1.0234375, + "learning_rate": 0.0003889396978425918, + "loss": 5.0846, + "mean_token_accuracy": 0.1728333756327629, + "num_tokens": 8728902.0, + "step": 3950 + }, + { + "entropy": 5.48401951789856, + "epoch": 3.987392839132627, + "grad_norm": 1.125, + "learning_rate": 0.0003885974762940295, + "loss": 5.1476, + "mean_token_accuracy": 0.17540051639080048, + "num_tokens": 8739033.0, + "step": 3955 + }, + { + "entropy": 5.533904981613159, + "epoch": 3.9924357034795763, + "grad_norm": 1.1796875, + "learning_rate": 0.0003882549016818905, + "loss": 5.151, + "mean_token_accuracy": 0.1737613081932068, + "num_tokens": 8750107.0, + "step": 3960 + }, + { + "entropy": 5.5011085033416744, + "epoch": 3.9974785678265254, + "grad_norm": 0.98046875, + "learning_rate": 0.00038791197507090456, + "loss": 5.1714, + "mean_token_accuracy": 0.17420586049556733, + "num_tokens": 8762486.0, + "step": 3965 + }, + { + "entropy": 5.4726547135247126, + "epoch": 4.00201714573878, + "grad_norm": 1.0390625, + "learning_rate": 0.00038756869752689527, + "loss": 5.002, + "mean_token_accuracy": 0.17883256243334877, + "num_tokens": 8770890.0, + "step": 3970 + }, + { + "entropy": 5.476257181167602, + "epoch": 4.007060010085729, + "grad_norm": 1.0703125, + "learning_rate": 0.0003872250701167775, + "loss": 4.9285, + "mean_token_accuracy": 0.1875666156411171, + "num_tokens": 8780880.0, + "step": 3975 + }, + { + "entropy": 5.516247749328613, + "epoch": 4.012102874432678, + "grad_norm": 1.1328125, + "learning_rate": 0.00038688109390855297, + "loss": 4.872, + "mean_token_accuracy": 0.19570760428905487, + "num_tokens": 8792616.0, + "step": 3980 + }, + { + "entropy": 5.497460126876831, + "epoch": 4.017145738779627, + "grad_norm": 1.2265625, + "learning_rate": 0.0003865367699713077, + "loss": 4.9809, + "mean_token_accuracy": 0.1902925744652748, + "num_tokens": 8803630.0, + "step": 3985 + }, + { + "entropy": 5.45757417678833, + "epoch": 4.022188603126576, + "grad_norm": 1.21875, + "learning_rate": 0.00038619209937520836, + "loss": 4.9198, + "mean_token_accuracy": 0.19390207678079605, + "num_tokens": 8814824.0, + "step": 3990 + }, + { + "entropy": 5.566776752471924, + "epoch": 4.027231467473525, + "grad_norm": 1.1640625, + "learning_rate": 0.00038584708319149924, + "loss": 4.9239, + "mean_token_accuracy": 0.19280405938625336, + "num_tokens": 8824240.0, + "step": 3995 + }, + { + "entropy": 5.4058189868927, + "epoch": 4.032274331820474, + "grad_norm": 1.203125, + "learning_rate": 0.00038550172249249856, + "loss": 4.873, + "mean_token_accuracy": 0.19107017517089844, + "num_tokens": 8835129.0, + "step": 4000 + }, + { + "epoch": 4.032274331820474, + "eval_entropy": 5.298038079235087, + "eval_loss": 5.699831962585449, + "eval_mean_token_accuracy": 0.1527644212312674, + "eval_num_tokens": 8835129.0, + "eval_runtime": 2.0265, + "eval_samples_per_second": 1548.455, + "eval_steps_per_second": 193.927, + "step": 4000 + }, + { + "entropy": 5.507882356643677, + "epoch": 4.0373171961674235, + "grad_norm": 1.2890625, + "learning_rate": 0.0003851560183515953, + "loss": 4.9006, + "mean_token_accuracy": 0.19513047337532044, + "num_tokens": 8846883.0, + "step": 4005 + }, + { + "entropy": 5.636105680465699, + "epoch": 4.042360060514373, + "grad_norm": 1.140625, + "learning_rate": 0.000384809971843246, + "loss": 5.0285, + "mean_token_accuracy": 0.18483300358057023, + "num_tokens": 8857592.0, + "step": 4010 + }, + { + "entropy": 5.475295829772949, + "epoch": 4.047402924861321, + "grad_norm": 1.09375, + "learning_rate": 0.000384463584042971, + "loss": 4.8952, + "mean_token_accuracy": 0.19550566673278807, + "num_tokens": 8868527.0, + "step": 4015 + }, + { + "entropy": 5.454197931289673, + "epoch": 4.05244578920827, + "grad_norm": 1.1640625, + "learning_rate": 0.00038411685602735175, + "loss": 4.9249, + "mean_token_accuracy": 0.1891388326883316, + "num_tokens": 8879416.0, + "step": 4020 + }, + { + "entropy": 5.4192150115966795, + "epoch": 4.057488653555219, + "grad_norm": 1.140625, + "learning_rate": 0.00038376978887402687, + "loss": 4.9098, + "mean_token_accuracy": 0.19191017746925354, + "num_tokens": 8889452.0, + "step": 4025 + }, + { + "entropy": 5.370370864868164, + "epoch": 4.062531517902168, + "grad_norm": 1.0625, + "learning_rate": 0.0003834223836616891, + "loss": 4.7748, + "mean_token_accuracy": 0.19761549085378646, + "num_tokens": 8900447.0, + "step": 4030 + }, + { + "entropy": 5.534723281860352, + "epoch": 4.067574382249117, + "grad_norm": 1.1328125, + "learning_rate": 0.00038307464147008176, + "loss": 4.9709, + "mean_token_accuracy": 0.18329481780529022, + "num_tokens": 8911298.0, + "step": 4035 + }, + { + "entropy": 5.439350223541259, + "epoch": 4.072617246596066, + "grad_norm": 1.15625, + "learning_rate": 0.0003827265633799957, + "loss": 4.9157, + "mean_token_accuracy": 0.1890334367752075, + "num_tokens": 8922279.0, + "step": 4040 + }, + { + "entropy": 5.486150932312012, + "epoch": 4.0776601109430155, + "grad_norm": 1.1875, + "learning_rate": 0.0003823781504732657, + "loss": 4.9313, + "mean_token_accuracy": 0.18667482137680053, + "num_tokens": 8934780.0, + "step": 4045 + }, + { + "entropy": 5.514814758300782, + "epoch": 4.082702975289965, + "grad_norm": 1.1484375, + "learning_rate": 0.0003820294038327669, + "loss": 4.8954, + "mean_token_accuracy": 0.1852332517504692, + "num_tokens": 8946114.0, + "step": 4050 + }, + { + "entropy": 5.417545366287231, + "epoch": 4.087745839636914, + "grad_norm": 1.015625, + "learning_rate": 0.0003816803245424121, + "loss": 4.8903, + "mean_token_accuracy": 0.19420945197343825, + "num_tokens": 8957830.0, + "step": 4055 + }, + { + "entropy": 5.4529143333435055, + "epoch": 4.092788703983863, + "grad_norm": 1.15625, + "learning_rate": 0.0003813309136871478, + "loss": 4.9542, + "mean_token_accuracy": 0.19547271430492402, + "num_tokens": 8968312.0, + "step": 4060 + }, + { + "entropy": 5.488467979431152, + "epoch": 4.097831568330812, + "grad_norm": 1.125, + "learning_rate": 0.00038098117235295083, + "loss": 4.8996, + "mean_token_accuracy": 0.1928773194551468, + "num_tokens": 8979502.0, + "step": 4065 + }, + { + "entropy": 5.448248672485351, + "epoch": 4.102874432677761, + "grad_norm": 1.078125, + "learning_rate": 0.0003806311016268254, + "loss": 4.9214, + "mean_token_accuracy": 0.18985837399959565, + "num_tokens": 8991934.0, + "step": 4070 + }, + { + "entropy": 5.45822057723999, + "epoch": 4.10791729702471, + "grad_norm": 1.234375, + "learning_rate": 0.0003802807025967995, + "loss": 4.8492, + "mean_token_accuracy": 0.1978401616215706, + "num_tokens": 9001669.0, + "step": 4075 + }, + { + "entropy": 5.462690544128418, + "epoch": 4.112960161371659, + "grad_norm": 1.3671875, + "learning_rate": 0.0003799299763519213, + "loss": 4.9006, + "mean_token_accuracy": 0.19447372406721114, + "num_tokens": 9011904.0, + "step": 4080 + }, + { + "entropy": 5.428786897659302, + "epoch": 4.118003025718608, + "grad_norm": 1.0859375, + "learning_rate": 0.0003795789239822561, + "loss": 4.91, + "mean_token_accuracy": 0.18757592886686325, + "num_tokens": 9023024.0, + "step": 4085 + }, + { + "entropy": 5.474789571762085, + "epoch": 4.1230458900655576, + "grad_norm": 1.109375, + "learning_rate": 0.0003792275465788826, + "loss": 5.0288, + "mean_token_accuracy": 0.18281726986169816, + "num_tokens": 9035721.0, + "step": 4090 + }, + { + "entropy": 5.549254083633423, + "epoch": 4.128088754412507, + "grad_norm": 1.171875, + "learning_rate": 0.00037887584523389013, + "loss": 4.9429, + "mean_token_accuracy": 0.1963011309504509, + "num_tokens": 9046541.0, + "step": 4095 + }, + { + "entropy": 5.51261191368103, + "epoch": 4.133131618759456, + "grad_norm": 1.28125, + "learning_rate": 0.00037852382104037454, + "loss": 4.9209, + "mean_token_accuracy": 0.1832383990287781, + "num_tokens": 9057696.0, + "step": 4100 + }, + { + "entropy": 5.49119758605957, + "epoch": 4.138174483106404, + "grad_norm": 1.34375, + "learning_rate": 0.00037817147509243497, + "loss": 5.0707, + "mean_token_accuracy": 0.18049182891845703, + "num_tokens": 9070737.0, + "step": 4105 + }, + { + "entropy": 5.50582594871521, + "epoch": 4.143217347453353, + "grad_norm": 1.25, + "learning_rate": 0.0003778188084851709, + "loss": 4.935, + "mean_token_accuracy": 0.19351411312818528, + "num_tokens": 9081582.0, + "step": 4110 + }, + { + "entropy": 5.539880180358887, + "epoch": 4.148260211800302, + "grad_norm": 1.1953125, + "learning_rate": 0.00037746582231467816, + "loss": 5.0069, + "mean_token_accuracy": 0.18012915998697282, + "num_tokens": 9092571.0, + "step": 4115 + }, + { + "entropy": 5.47385425567627, + "epoch": 4.153303076147251, + "grad_norm": 1.234375, + "learning_rate": 0.0003771125176780461, + "loss": 4.9757, + "mean_token_accuracy": 0.18279217034578324, + "num_tokens": 9103172.0, + "step": 4120 + }, + { + "entropy": 5.495398378372192, + "epoch": 4.1583459404942005, + "grad_norm": 1.078125, + "learning_rate": 0.00037675889567335345, + "loss": 4.9165, + "mean_token_accuracy": 0.18877640664577483, + "num_tokens": 9114407.0, + "step": 4125 + }, + { + "entropy": 5.4332798480987545, + "epoch": 4.16338880484115, + "grad_norm": 1.015625, + "learning_rate": 0.00037640495739966573, + "loss": 4.871, + "mean_token_accuracy": 0.19287270307540894, + "num_tokens": 9126175.0, + "step": 4130 + }, + { + "entropy": 5.474513959884644, + "epoch": 4.168431669188099, + "grad_norm": 1.09375, + "learning_rate": 0.00037605070395703124, + "loss": 5.0226, + "mean_token_accuracy": 0.18439341336488724, + "num_tokens": 9139046.0, + "step": 4135 + }, + { + "entropy": 5.486795473098755, + "epoch": 4.173474533535048, + "grad_norm": 1.328125, + "learning_rate": 0.00037569613644647783, + "loss": 4.9218, + "mean_token_accuracy": 0.1871136710047722, + "num_tokens": 9150413.0, + "step": 4140 + }, + { + "entropy": 5.5463550090789795, + "epoch": 4.178517397881997, + "grad_norm": 1.109375, + "learning_rate": 0.0003753412559700094, + "loss": 4.9098, + "mean_token_accuracy": 0.1975122556090355, + "num_tokens": 9161831.0, + "step": 4145 + }, + { + "entropy": 5.437201404571534, + "epoch": 4.183560262228946, + "grad_norm": 1.234375, + "learning_rate": 0.00037498606363060285, + "loss": 4.9258, + "mean_token_accuracy": 0.1963041603565216, + "num_tokens": 9172381.0, + "step": 4150 + }, + { + "entropy": 5.364158773422242, + "epoch": 4.188603126575895, + "grad_norm": 1.1953125, + "learning_rate": 0.0003746305605322041, + "loss": 4.8546, + "mean_token_accuracy": 0.19601071029901504, + "num_tokens": 9182212.0, + "step": 4155 + }, + { + "entropy": 5.442264175415039, + "epoch": 4.193645990922844, + "grad_norm": 1.2734375, + "learning_rate": 0.00037427474777972477, + "loss": 4.9478, + "mean_token_accuracy": 0.19168211966753007, + "num_tokens": 9192207.0, + "step": 4160 + }, + { + "entropy": 5.51265287399292, + "epoch": 4.198688855269793, + "grad_norm": 1.140625, + "learning_rate": 0.00037391862647903943, + "loss": 4.9895, + "mean_token_accuracy": 0.18737609982490538, + "num_tokens": 9203693.0, + "step": 4165 + }, + { + "entropy": 5.489502048492431, + "epoch": 4.2037317196167425, + "grad_norm": 1.0859375, + "learning_rate": 0.00037356219773698106, + "loss": 4.93, + "mean_token_accuracy": 0.19232701063156127, + "num_tokens": 9215201.0, + "step": 4170 + }, + { + "entropy": 5.35007643699646, + "epoch": 4.208774583963692, + "grad_norm": 1.28125, + "learning_rate": 0.00037320546266133854, + "loss": 4.8919, + "mean_token_accuracy": 0.18937314301729202, + "num_tokens": 9227705.0, + "step": 4175 + }, + { + "entropy": 5.513562440872192, + "epoch": 4.213817448310641, + "grad_norm": 1.09375, + "learning_rate": 0.0003728484223608526, + "loss": 5.0298, + "mean_token_accuracy": 0.19036928117275237, + "num_tokens": 9238372.0, + "step": 4180 + }, + { + "entropy": 5.479854774475098, + "epoch": 4.21886031265759, + "grad_norm": 1.0859375, + "learning_rate": 0.00037249107794521286, + "loss": 4.9577, + "mean_token_accuracy": 0.18163685202598573, + "num_tokens": 9250303.0, + "step": 4185 + }, + { + "entropy": 5.421753692626953, + "epoch": 4.223903177004539, + "grad_norm": 1.234375, + "learning_rate": 0.00037213343052505394, + "loss": 5.0321, + "mean_token_accuracy": 0.18563628941774368, + "num_tokens": 9261750.0, + "step": 4190 + }, + { + "entropy": 5.509016704559326, + "epoch": 4.228946041351487, + "grad_norm": 1.0234375, + "learning_rate": 0.0003717754812119523, + "loss": 4.9431, + "mean_token_accuracy": 0.19167808294296265, + "num_tokens": 9273808.0, + "step": 4195 + }, + { + "entropy": 5.454015445709229, + "epoch": 4.233988905698436, + "grad_norm": 1.1171875, + "learning_rate": 0.0003714172311184226, + "loss": 4.9408, + "mean_token_accuracy": 0.18980903923511505, + "num_tokens": 9285099.0, + "step": 4200 + }, + { + "entropy": 5.498741102218628, + "epoch": 4.2390317700453854, + "grad_norm": 1.171875, + "learning_rate": 0.0003710586813579144, + "loss": 5.0256, + "mean_token_accuracy": 0.18340314030647278, + "num_tokens": 9295513.0, + "step": 4205 + }, + { + "entropy": 5.5043713569641115, + "epoch": 4.244074634392335, + "grad_norm": 1.2890625, + "learning_rate": 0.00037069983304480875, + "loss": 5.0181, + "mean_token_accuracy": 0.17525929361581802, + "num_tokens": 9307243.0, + "step": 4210 + }, + { + "entropy": 5.41992335319519, + "epoch": 4.249117498739284, + "grad_norm": 1.21875, + "learning_rate": 0.0003703406872944144, + "loss": 4.9652, + "mean_token_accuracy": 0.1928505852818489, + "num_tokens": 9319289.0, + "step": 4215 + }, + { + "entropy": 5.529471921920776, + "epoch": 4.254160363086233, + "grad_norm": 1.1171875, + "learning_rate": 0.0003699812452229645, + "loss": 5.0786, + "mean_token_accuracy": 0.1831396237015724, + "num_tokens": 9332273.0, + "step": 4220 + }, + { + "entropy": 5.502027702331543, + "epoch": 4.259203227433182, + "grad_norm": 1.3046875, + "learning_rate": 0.00036962150794761354, + "loss": 4.9647, + "mean_token_accuracy": 0.18839758336544038, + "num_tokens": 9343703.0, + "step": 4225 + }, + { + "entropy": 5.409524011611938, + "epoch": 4.264246091780131, + "grad_norm": 1.078125, + "learning_rate": 0.0003692614765864331, + "loss": 4.9535, + "mean_token_accuracy": 0.18380556404590606, + "num_tokens": 9355371.0, + "step": 4230 + }, + { + "entropy": 5.415918779373169, + "epoch": 4.26928895612708, + "grad_norm": 1.0703125, + "learning_rate": 0.00036890115225840904, + "loss": 4.9783, + "mean_token_accuracy": 0.18282967656850815, + "num_tokens": 9367337.0, + "step": 4235 + }, + { + "entropy": 5.495303773880005, + "epoch": 4.274331820474029, + "grad_norm": 1.203125, + "learning_rate": 0.0003685405360834376, + "loss": 4.9964, + "mean_token_accuracy": 0.1882554829120636, + "num_tokens": 9378613.0, + "step": 4240 + }, + { + "entropy": 5.522206258773804, + "epoch": 4.279374684820978, + "grad_norm": 1.09375, + "learning_rate": 0.00036817962918232234, + "loss": 4.9605, + "mean_token_accuracy": 0.18544823825359344, + "num_tokens": 9390576.0, + "step": 4245 + }, + { + "entropy": 5.513616561889648, + "epoch": 4.2844175491679275, + "grad_norm": 1.2734375, + "learning_rate": 0.00036781843267677, + "loss": 4.9929, + "mean_token_accuracy": 0.1839417487382889, + "num_tokens": 9401828.0, + "step": 4250 + }, + { + "entropy": 5.4544768810272215, + "epoch": 4.289460413514877, + "grad_norm": 1.1171875, + "learning_rate": 0.0003674569476893878, + "loss": 4.9674, + "mean_token_accuracy": 0.18869195580482484, + "num_tokens": 9414065.0, + "step": 4255 + }, + { + "entropy": 5.501214170455933, + "epoch": 4.294503277861826, + "grad_norm": 1.28125, + "learning_rate": 0.0003670951753436794, + "loss": 4.9991, + "mean_token_accuracy": 0.193516606092453, + "num_tokens": 9425025.0, + "step": 4260 + }, + { + "entropy": 5.451015043258667, + "epoch": 4.299546142208775, + "grad_norm": 1.2265625, + "learning_rate": 0.00036673311676404163, + "loss": 4.9283, + "mean_token_accuracy": 0.1888926148414612, + "num_tokens": 9435562.0, + "step": 4265 + }, + { + "entropy": 5.448048305511475, + "epoch": 4.304589006555724, + "grad_norm": 1.21875, + "learning_rate": 0.0003663707730757608, + "loss": 4.9323, + "mean_token_accuracy": 0.1817737638950348, + "num_tokens": 9445963.0, + "step": 4270 + }, + { + "entropy": 5.42729001045227, + "epoch": 4.309631870902673, + "grad_norm": 1.203125, + "learning_rate": 0.00036600814540500956, + "loss": 4.9144, + "mean_token_accuracy": 0.18806320428848267, + "num_tokens": 9456810.0, + "step": 4275 + }, + { + "entropy": 5.404821681976318, + "epoch": 4.314674735249622, + "grad_norm": 1.359375, + "learning_rate": 0.000365645234878843, + "loss": 4.944, + "mean_token_accuracy": 0.18662286251783372, + "num_tokens": 9466527.0, + "step": 4280 + }, + { + "entropy": 5.460329341888428, + "epoch": 4.31971759959657, + "grad_norm": 1.1796875, + "learning_rate": 0.00036528204262519545, + "loss": 4.9273, + "mean_token_accuracy": 0.19052704572677612, + "num_tokens": 9477770.0, + "step": 4285 + }, + { + "entropy": 5.477109098434449, + "epoch": 4.3247604639435195, + "grad_norm": 1.2109375, + "learning_rate": 0.0003649185697728768, + "loss": 4.9679, + "mean_token_accuracy": 0.1862930953502655, + "num_tokens": 9487723.0, + "step": 4290 + }, + { + "entropy": 5.513242292404175, + "epoch": 4.329803328290469, + "grad_norm": 1.4375, + "learning_rate": 0.00036455481745156906, + "loss": 4.9169, + "mean_token_accuracy": 0.19376833438873292, + "num_tokens": 9497286.0, + "step": 4295 + }, + { + "entropy": 5.3801576614379885, + "epoch": 4.334846192637418, + "grad_norm": 1.078125, + "learning_rate": 0.0003641907867918228, + "loss": 4.8533, + "mean_token_accuracy": 0.1950397878885269, + "num_tokens": 9508535.0, + "step": 4300 + }, + { + "entropy": 5.381755065917969, + "epoch": 4.339889056984367, + "grad_norm": 1.1328125, + "learning_rate": 0.0003638264789250538, + "loss": 4.9355, + "mean_token_accuracy": 0.18968858420848847, + "num_tokens": 9518165.0, + "step": 4305 + }, + { + "entropy": 5.4629909038543705, + "epoch": 4.344931921331316, + "grad_norm": 1.203125, + "learning_rate": 0.00036346189498353914, + "loss": 4.9332, + "mean_token_accuracy": 0.18796923905611038, + "num_tokens": 9528197.0, + "step": 4310 + }, + { + "entropy": 5.469100570678711, + "epoch": 4.349974785678265, + "grad_norm": 1.15625, + "learning_rate": 0.0003630970361004143, + "loss": 4.9514, + "mean_token_accuracy": 0.1987667128443718, + "num_tokens": 9539024.0, + "step": 4315 + }, + { + "entropy": 5.498983573913574, + "epoch": 4.355017650025214, + "grad_norm": 1.2109375, + "learning_rate": 0.0003627319034096691, + "loss": 4.9047, + "mean_token_accuracy": 0.1949477717280388, + "num_tokens": 9548701.0, + "step": 4320 + }, + { + "entropy": 5.3508720874786375, + "epoch": 4.360060514372163, + "grad_norm": 1.375, + "learning_rate": 0.0003623664980461443, + "loss": 4.8769, + "mean_token_accuracy": 0.19532206803560256, + "num_tokens": 9558576.0, + "step": 4325 + }, + { + "entropy": 5.39421124458313, + "epoch": 4.3651033787191125, + "grad_norm": 1.3828125, + "learning_rate": 0.00036200082114552806, + "loss": 4.9565, + "mean_token_accuracy": 0.18533562421798705, + "num_tokens": 9567464.0, + "step": 4330 + }, + { + "entropy": 5.425723648071289, + "epoch": 4.370146243066062, + "grad_norm": 1.3125, + "learning_rate": 0.00036163487384435294, + "loss": 4.8855, + "mean_token_accuracy": 0.19447901099920273, + "num_tokens": 9578011.0, + "step": 4335 + }, + { + "entropy": 5.549548530578614, + "epoch": 4.375189107413011, + "grad_norm": 1.234375, + "learning_rate": 0.0003612686572799914, + "loss": 5.0191, + "mean_token_accuracy": 0.1840487852692604, + "num_tokens": 9589279.0, + "step": 4340 + }, + { + "entropy": 5.472797155380249, + "epoch": 4.38023197175996, + "grad_norm": 1.203125, + "learning_rate": 0.0003609021725906529, + "loss": 4.9258, + "mean_token_accuracy": 0.18987287431955338, + "num_tokens": 9600170.0, + "step": 4345 + }, + { + "entropy": 5.4490509033203125, + "epoch": 4.385274836106909, + "grad_norm": 1.1484375, + "learning_rate": 0.00036053542091538045, + "loss": 4.925, + "mean_token_accuracy": 0.19032368808984756, + "num_tokens": 9611006.0, + "step": 4350 + }, + { + "entropy": 5.473626661300659, + "epoch": 4.390317700453858, + "grad_norm": 1.328125, + "learning_rate": 0.00036016840339404664, + "loss": 5.0008, + "mean_token_accuracy": 0.18587622791528702, + "num_tokens": 9621645.0, + "step": 4355 + }, + { + "entropy": 5.423802852630615, + "epoch": 4.395360564800807, + "grad_norm": 1.078125, + "learning_rate": 0.0003598011211673505, + "loss": 5.016, + "mean_token_accuracy": 0.18200191259384155, + "num_tokens": 9633221.0, + "step": 4360 + }, + { + "entropy": 5.462389421463013, + "epoch": 4.400403429147756, + "grad_norm": 1.28125, + "learning_rate": 0.0003594335753768135, + "loss": 5.0055, + "mean_token_accuracy": 0.1831961914896965, + "num_tokens": 9644616.0, + "step": 4365 + }, + { + "entropy": 5.469020700454712, + "epoch": 4.405446293494705, + "grad_norm": 1.1953125, + "learning_rate": 0.0003590657671647766, + "loss": 4.939, + "mean_token_accuracy": 0.19091181010007857, + "num_tokens": 9656072.0, + "step": 4370 + }, + { + "entropy": 5.4417582035064695, + "epoch": 4.4104891578416545, + "grad_norm": 1.2734375, + "learning_rate": 0.00035869769767439606, + "loss": 4.9764, + "mean_token_accuracy": 0.18057194650173186, + "num_tokens": 9667252.0, + "step": 4375 + }, + { + "entropy": 5.527696800231934, + "epoch": 4.415532022188603, + "grad_norm": 1.1875, + "learning_rate": 0.0003583293680496404, + "loss": 5.0256, + "mean_token_accuracy": 0.18298113197088242, + "num_tokens": 9677810.0, + "step": 4380 + }, + { + "entropy": 5.482815313339233, + "epoch": 4.420574886535552, + "grad_norm": 1.1328125, + "learning_rate": 0.0003579607794352867, + "loss": 4.9634, + "mean_token_accuracy": 0.19282228946685792, + "num_tokens": 9688950.0, + "step": 4385 + }, + { + "entropy": 5.51417818069458, + "epoch": 4.425617750882501, + "grad_norm": 1.265625, + "learning_rate": 0.00035759193297691674, + "loss": 5.0062, + "mean_token_accuracy": 0.1773902341723442, + "num_tokens": 9699961.0, + "step": 4390 + }, + { + "entropy": 5.441384744644165, + "epoch": 4.43066061522945, + "grad_norm": 1.1328125, + "learning_rate": 0.00035722282982091373, + "loss": 4.968, + "mean_token_accuracy": 0.18881333619356155, + "num_tokens": 9711548.0, + "step": 4395 + }, + { + "entropy": 5.4814496517181395, + "epoch": 4.435703479576399, + "grad_norm": 1.390625, + "learning_rate": 0.0003568534711144591, + "loss": 5.0064, + "mean_token_accuracy": 0.19238194972276687, + "num_tokens": 9722237.0, + "step": 4400 + }, + { + "entropy": 5.461666250228882, + "epoch": 4.440746343923348, + "grad_norm": 1.2734375, + "learning_rate": 0.000356483858005528, + "loss": 5.02, + "mean_token_accuracy": 0.18607597798109055, + "num_tokens": 9733654.0, + "step": 4405 + }, + { + "entropy": 5.396451997756958, + "epoch": 4.445789208270297, + "grad_norm": 1.0859375, + "learning_rate": 0.00035611399164288654, + "loss": 4.8687, + "mean_token_accuracy": 0.19753507524728775, + "num_tokens": 9745012.0, + "step": 4410 + }, + { + "entropy": 5.431181240081787, + "epoch": 4.450832072617247, + "grad_norm": 1.1484375, + "learning_rate": 0.0003557438731760879, + "loss": 4.9509, + "mean_token_accuracy": 0.18538981080055236, + "num_tokens": 9755851.0, + "step": 4415 + }, + { + "entropy": 5.40848217010498, + "epoch": 4.455874936964196, + "grad_norm": 1.171875, + "learning_rate": 0.0003553735037554689, + "loss": 4.8793, + "mean_token_accuracy": 0.19078117311000825, + "num_tokens": 9765652.0, + "step": 4420 + }, + { + "entropy": 5.463437080383301, + "epoch": 4.460917801311145, + "grad_norm": 1.15625, + "learning_rate": 0.0003550028845321461, + "loss": 4.9528, + "mean_token_accuracy": 0.18317756056785583, + "num_tokens": 9776618.0, + "step": 4425 + }, + { + "entropy": 5.437930488586426, + "epoch": 4.465960665658094, + "grad_norm": 1.3515625, + "learning_rate": 0.0003546320166580127, + "loss": 4.912, + "mean_token_accuracy": 0.18995112627744676, + "num_tokens": 9786523.0, + "step": 4430 + }, + { + "entropy": 5.503436660766601, + "epoch": 4.471003530005043, + "grad_norm": 1.1640625, + "learning_rate": 0.00035426090128573464, + "loss": 4.9902, + "mean_token_accuracy": 0.18866927772760392, + "num_tokens": 9797013.0, + "step": 4435 + }, + { + "entropy": 5.505742359161377, + "epoch": 4.476046394351992, + "grad_norm": 1.109375, + "learning_rate": 0.00035388953956874686, + "loss": 4.978, + "mean_token_accuracy": 0.1855326250195503, + "num_tokens": 9807431.0, + "step": 4440 + }, + { + "entropy": 5.459383773803711, + "epoch": 4.481089258698941, + "grad_norm": 1.328125, + "learning_rate": 0.0003535179326612504, + "loss": 5.0067, + "mean_token_accuracy": 0.18672738820314408, + "num_tokens": 9817560.0, + "step": 4445 + }, + { + "entropy": 5.431673955917359, + "epoch": 4.48613212304589, + "grad_norm": 1.0703125, + "learning_rate": 0.00035314608171820787, + "loss": 4.9291, + "mean_token_accuracy": 0.18797255009412767, + "num_tokens": 9828233.0, + "step": 4450 + }, + { + "entropy": 5.450408601760865, + "epoch": 4.4911749873928395, + "grad_norm": 1.3046875, + "learning_rate": 0.00035277398789534075, + "loss": 4.9298, + "mean_token_accuracy": 0.19417595118284225, + "num_tokens": 9838699.0, + "step": 4455 + }, + { + "entropy": 5.42654972076416, + "epoch": 4.496217851739789, + "grad_norm": 1.203125, + "learning_rate": 0.0003524016523491252, + "loss": 4.9502, + "mean_token_accuracy": 0.1807286635041237, + "num_tokens": 9849635.0, + "step": 4460 + }, + { + "entropy": 5.424818992614746, + "epoch": 4.501260716086737, + "grad_norm": 1.1015625, + "learning_rate": 0.00035202907623678865, + "loss": 4.9072, + "mean_token_accuracy": 0.18710703998804093, + "num_tokens": 9861822.0, + "step": 4465 + }, + { + "entropy": 5.43951678276062, + "epoch": 4.506303580433686, + "grad_norm": 1.171875, + "learning_rate": 0.0003516562607163062, + "loss": 4.9867, + "mean_token_accuracy": 0.18685145676136017, + "num_tokens": 9872341.0, + "step": 4470 + }, + { + "entropy": 5.522892475128174, + "epoch": 4.511346444780635, + "grad_norm": 1.2265625, + "learning_rate": 0.0003512832069463971, + "loss": 5.009, + "mean_token_accuracy": 0.18200730085372924, + "num_tokens": 9883078.0, + "step": 4475 + }, + { + "entropy": 5.457088470458984, + "epoch": 4.516389309127584, + "grad_norm": 1.109375, + "learning_rate": 0.00035090991608652125, + "loss": 5.0672, + "mean_token_accuracy": 0.18591289818286896, + "num_tokens": 9894688.0, + "step": 4480 + }, + { + "entropy": 5.392157983779907, + "epoch": 4.521432173474533, + "grad_norm": 1.2890625, + "learning_rate": 0.00035053638929687504, + "loss": 4.8778, + "mean_token_accuracy": 0.18869801312685014, + "num_tokens": 9904409.0, + "step": 4485 + }, + { + "entropy": 5.485831022262573, + "epoch": 4.526475037821482, + "grad_norm": 1.140625, + "learning_rate": 0.0003501626277383884, + "loss": 5.0515, + "mean_token_accuracy": 0.1752968832850456, + "num_tokens": 9915204.0, + "step": 4490 + }, + { + "entropy": 5.5224214553833, + "epoch": 4.5315179021684315, + "grad_norm": 1.2734375, + "learning_rate": 0.000349788632572721, + "loss": 4.9806, + "mean_token_accuracy": 0.18406761437654495, + "num_tokens": 9927354.0, + "step": 4495 + }, + { + "entropy": 5.412999963760376, + "epoch": 4.536560766515381, + "grad_norm": 1.296875, + "learning_rate": 0.0003494144049622582, + "loss": 4.902, + "mean_token_accuracy": 0.1886482670903206, + "num_tokens": 9939009.0, + "step": 4500 + }, + { + "entropy": 5.391222190856934, + "epoch": 4.54160363086233, + "grad_norm": 1.2421875, + "learning_rate": 0.0003490399460701083, + "loss": 5.0147, + "mean_token_accuracy": 0.18851865231990814, + "num_tokens": 9950332.0, + "step": 4505 + }, + { + "entropy": 5.448312902450562, + "epoch": 4.546646495209279, + "grad_norm": 1.1484375, + "learning_rate": 0.000348665257060098, + "loss": 4.922, + "mean_token_accuracy": 0.1947105810046196, + "num_tokens": 9961206.0, + "step": 4510 + }, + { + "entropy": 5.484153413772583, + "epoch": 4.551689359556228, + "grad_norm": 1.2109375, + "learning_rate": 0.0003482903390967695, + "loss": 4.917, + "mean_token_accuracy": 0.19644837379455565, + "num_tokens": 9972272.0, + "step": 4515 + }, + { + "entropy": 5.377922439575196, + "epoch": 4.556732223903177, + "grad_norm": 1.375, + "learning_rate": 0.00034791519334537635, + "loss": 4.9262, + "mean_token_accuracy": 0.19269737154245375, + "num_tokens": 9982189.0, + "step": 4520 + }, + { + "entropy": 5.377587604522705, + "epoch": 4.561775088250126, + "grad_norm": 1.1953125, + "learning_rate": 0.0003475398209718804, + "loss": 4.8724, + "mean_token_accuracy": 0.1955879732966423, + "num_tokens": 9993122.0, + "step": 4525 + }, + { + "entropy": 5.44607400894165, + "epoch": 4.566817952597075, + "grad_norm": 1.140625, + "learning_rate": 0.0003471642231429475, + "loss": 4.8815, + "mean_token_accuracy": 0.19085957556962968, + "num_tokens": 10004043.0, + "step": 4530 + }, + { + "entropy": 5.408733749389649, + "epoch": 4.5718608169440245, + "grad_norm": 1.21875, + "learning_rate": 0.0003467884010259443, + "loss": 4.8907, + "mean_token_accuracy": 0.19512842446565629, + "num_tokens": 10014042.0, + "step": 4535 + }, + { + "entropy": 5.363145399093628, + "epoch": 4.576903681290974, + "grad_norm": 1.1171875, + "learning_rate": 0.00034641235578893476, + "loss": 4.8653, + "mean_token_accuracy": 0.1962948814034462, + "num_tokens": 10025742.0, + "step": 4540 + }, + { + "entropy": 5.402016878128052, + "epoch": 4.581946545637923, + "grad_norm": 1.2421875, + "learning_rate": 0.0003460360886006761, + "loss": 4.9674, + "mean_token_accuracy": 0.18587110042572022, + "num_tokens": 10036727.0, + "step": 4545 + }, + { + "entropy": 5.4374651432037355, + "epoch": 4.586989409984872, + "grad_norm": 1.1953125, + "learning_rate": 0.00034565960063061534, + "loss": 4.9226, + "mean_token_accuracy": 0.18302160054445266, + "num_tokens": 10047246.0, + "step": 4550 + }, + { + "entropy": 5.398792886734009, + "epoch": 4.592032274331821, + "grad_norm": 1.1015625, + "learning_rate": 0.0003452828930488859, + "loss": 4.9253, + "mean_token_accuracy": 0.1938019722700119, + "num_tokens": 10059750.0, + "step": 4555 + }, + { + "entropy": 5.455434322357178, + "epoch": 4.597075138678769, + "grad_norm": 1.0625, + "learning_rate": 0.00034490596702630355, + "loss": 4.9739, + "mean_token_accuracy": 0.1875145599246025, + "num_tokens": 10071431.0, + "step": 4560 + }, + { + "entropy": 5.463915681838989, + "epoch": 4.602118003025718, + "grad_norm": 1.2578125, + "learning_rate": 0.0003445288237343632, + "loss": 4.9644, + "mean_token_accuracy": 0.18932064026594161, + "num_tokens": 10081567.0, + "step": 4565 + }, + { + "entropy": 5.497029161453247, + "epoch": 4.607160867372667, + "grad_norm": 1.1484375, + "learning_rate": 0.00034415146434523463, + "loss": 5.0002, + "mean_token_accuracy": 0.18606244027614594, + "num_tokens": 10092506.0, + "step": 4570 + }, + { + "entropy": 5.480929279327393, + "epoch": 4.6122037317196165, + "grad_norm": 1.296875, + "learning_rate": 0.00034377389003175984, + "loss": 4.9801, + "mean_token_accuracy": 0.1865699604153633, + "num_tokens": 10103896.0, + "step": 4575 + }, + { + "entropy": 5.372171783447266, + "epoch": 4.617246596066566, + "grad_norm": 1.421875, + "learning_rate": 0.0003433961019674483, + "loss": 4.9572, + "mean_token_accuracy": 0.1918066293001175, + "num_tokens": 10113646.0, + "step": 4580 + }, + { + "entropy": 5.419704341888428, + "epoch": 4.622289460413515, + "grad_norm": 1.109375, + "learning_rate": 0.0003430181013264741, + "loss": 5.0208, + "mean_token_accuracy": 0.1797514334321022, + "num_tokens": 10125097.0, + "step": 4585 + }, + { + "entropy": 5.5000776767730715, + "epoch": 4.627332324760464, + "grad_norm": 1.296875, + "learning_rate": 0.0003426398892836719, + "loss": 4.9718, + "mean_token_accuracy": 0.18807972222566605, + "num_tokens": 10137396.0, + "step": 4590 + }, + { + "entropy": 5.483876419067383, + "epoch": 4.632375189107413, + "grad_norm": 1.171875, + "learning_rate": 0.0003422614670145336, + "loss": 5.0777, + "mean_token_accuracy": 0.18274005502462387, + "num_tokens": 10147483.0, + "step": 4595 + }, + { + "entropy": 5.432821559906006, + "epoch": 4.637418053454362, + "grad_norm": 1.1796875, + "learning_rate": 0.0003418828356952041, + "loss": 4.951, + "mean_token_accuracy": 0.18625150471925736, + "num_tokens": 10159693.0, + "step": 4600 + }, + { + "entropy": 5.431114387512207, + "epoch": 4.642460917801311, + "grad_norm": 1.2109375, + "learning_rate": 0.00034150399650247846, + "loss": 4.84, + "mean_token_accuracy": 0.19102736562490463, + "num_tokens": 10170371.0, + "step": 4605 + }, + { + "entropy": 5.411733675003052, + "epoch": 4.64750378214826, + "grad_norm": 1.2578125, + "learning_rate": 0.00034112495061379764, + "loss": 4.9494, + "mean_token_accuracy": 0.19134079068899154, + "num_tokens": 10181487.0, + "step": 4610 + }, + { + "entropy": 5.41342191696167, + "epoch": 4.652546646495209, + "grad_norm": 1.25, + "learning_rate": 0.00034074569920724483, + "loss": 4.9766, + "mean_token_accuracy": 0.18301253765821457, + "num_tokens": 10193386.0, + "step": 4615 + }, + { + "entropy": 5.498093175888061, + "epoch": 4.6575895108421586, + "grad_norm": 1.1328125, + "learning_rate": 0.0003403662434615423, + "loss": 5.0328, + "mean_token_accuracy": 0.18311253786087037, + "num_tokens": 10205531.0, + "step": 4620 + }, + { + "entropy": 5.456884098052979, + "epoch": 4.662632375189108, + "grad_norm": 1.0703125, + "learning_rate": 0.00033998658455604736, + "loss": 4.9797, + "mean_token_accuracy": 0.18898638486862182, + "num_tokens": 10216586.0, + "step": 4625 + }, + { + "entropy": 5.431148862838745, + "epoch": 4.667675239536057, + "grad_norm": 1.171875, + "learning_rate": 0.00033960672367074827, + "loss": 4.8987, + "mean_token_accuracy": 0.19037448465824128, + "num_tokens": 10227330.0, + "step": 4630 + }, + { + "entropy": 5.440126276016235, + "epoch": 4.672718103883006, + "grad_norm": 1.140625, + "learning_rate": 0.0003392266619862619, + "loss": 5.0402, + "mean_token_accuracy": 0.17827739417552949, + "num_tokens": 10238295.0, + "step": 4635 + }, + { + "entropy": 5.449625444412232, + "epoch": 4.677760968229954, + "grad_norm": 1.2109375, + "learning_rate": 0.0003388464006838284, + "loss": 4.9925, + "mean_token_accuracy": 0.19437420070171357, + "num_tokens": 10249011.0, + "step": 4640 + }, + { + "entropy": 5.503025913238526, + "epoch": 4.682803832576903, + "grad_norm": 1.2265625, + "learning_rate": 0.00033846594094530874, + "loss": 4.9525, + "mean_token_accuracy": 0.18661330491304398, + "num_tokens": 10260986.0, + "step": 4645 + }, + { + "entropy": 5.403000020980835, + "epoch": 4.687846696923852, + "grad_norm": 1.109375, + "learning_rate": 0.0003380852839531806, + "loss": 4.9642, + "mean_token_accuracy": 0.18330392688512803, + "num_tokens": 10271557.0, + "step": 4650 + }, + { + "entropy": 5.465458154678345, + "epoch": 4.6928895612708015, + "grad_norm": 1.265625, + "learning_rate": 0.00033770443089053476, + "loss": 4.9798, + "mean_token_accuracy": 0.18609561026096344, + "num_tokens": 10281458.0, + "step": 4655 + }, + { + "entropy": 5.459237432479858, + "epoch": 4.697932425617751, + "grad_norm": 1.078125, + "learning_rate": 0.00033732338294107116, + "loss": 4.9671, + "mean_token_accuracy": 0.1871896654367447, + "num_tokens": 10293336.0, + "step": 4660 + }, + { + "entropy": 5.432980871200561, + "epoch": 4.7029752899647, + "grad_norm": 1.2734375, + "learning_rate": 0.00033694214128909567, + "loss": 4.9673, + "mean_token_accuracy": 0.18993277698755265, + "num_tokens": 10303633.0, + "step": 4665 + }, + { + "entropy": 5.44464521408081, + "epoch": 4.708018154311649, + "grad_norm": 1.2578125, + "learning_rate": 0.00033656070711951633, + "loss": 4.9845, + "mean_token_accuracy": 0.18049918115139008, + "num_tokens": 10314776.0, + "step": 4670 + }, + { + "entropy": 5.4221460819244385, + "epoch": 4.713061018658598, + "grad_norm": 1.09375, + "learning_rate": 0.0003361790816178391, + "loss": 4.9222, + "mean_token_accuracy": 0.19435497671365737, + "num_tokens": 10325792.0, + "step": 4675 + }, + { + "entropy": 5.3949438571929935, + "epoch": 4.718103883005547, + "grad_norm": 1.21875, + "learning_rate": 0.0003357972659701649, + "loss": 5.0, + "mean_token_accuracy": 0.18047935217618943, + "num_tokens": 10339024.0, + "step": 4680 + }, + { + "entropy": 5.466359615325928, + "epoch": 4.723146747352496, + "grad_norm": 1.2421875, + "learning_rate": 0.00033541526136318564, + "loss": 4.9542, + "mean_token_accuracy": 0.18820637315511704, + "num_tokens": 10349198.0, + "step": 4685 + }, + { + "entropy": 5.476608657836914, + "epoch": 4.728189611699445, + "grad_norm": 1.1328125, + "learning_rate": 0.0003350330689841804, + "loss": 5.047, + "mean_token_accuracy": 0.17754877507686614, + "num_tokens": 10360925.0, + "step": 4690 + }, + { + "entropy": 5.471492719650269, + "epoch": 4.733232476046394, + "grad_norm": 1.25, + "learning_rate": 0.0003346506900210118, + "loss": 4.9786, + "mean_token_accuracy": 0.1891571193933487, + "num_tokens": 10372074.0, + "step": 4695 + }, + { + "entropy": 5.40898289680481, + "epoch": 4.7382753403933435, + "grad_norm": 1.2578125, + "learning_rate": 0.0003342681256621227, + "loss": 4.8793, + "mean_token_accuracy": 0.19103499352931977, + "num_tokens": 10384050.0, + "step": 4700 + }, + { + "entropy": 5.43700852394104, + "epoch": 4.743318204740293, + "grad_norm": 1.203125, + "learning_rate": 0.0003338853770965319, + "loss": 4.9256, + "mean_token_accuracy": 0.18500882834196092, + "num_tokens": 10394466.0, + "step": 4705 + }, + { + "entropy": 5.408495807647705, + "epoch": 4.748361069087242, + "grad_norm": 1.1953125, + "learning_rate": 0.00033350244551383064, + "loss": 4.9981, + "mean_token_accuracy": 0.18811080902814864, + "num_tokens": 10405279.0, + "step": 4710 + }, + { + "entropy": 5.397424650192261, + "epoch": 4.753403933434191, + "grad_norm": 1.1796875, + "learning_rate": 0.0003331193321041793, + "loss": 4.9563, + "mean_token_accuracy": 0.1881820723414421, + "num_tokens": 10417504.0, + "step": 4715 + }, + { + "entropy": 5.425117683410645, + "epoch": 4.75844679778114, + "grad_norm": 1.1015625, + "learning_rate": 0.00033273603805830296, + "loss": 4.9777, + "mean_token_accuracy": 0.18997900187969208, + "num_tokens": 10428824.0, + "step": 4720 + }, + { + "entropy": 5.47361912727356, + "epoch": 4.763489662128089, + "grad_norm": 1.140625, + "learning_rate": 0.00033235256456748847, + "loss": 5.0229, + "mean_token_accuracy": 0.1850911021232605, + "num_tokens": 10440164.0, + "step": 4725 + }, + { + "entropy": 5.507453775405883, + "epoch": 4.768532526475038, + "grad_norm": 1.2578125, + "learning_rate": 0.0003319689128235804, + "loss": 4.9309, + "mean_token_accuracy": 0.19020796716213226, + "num_tokens": 10450216.0, + "step": 4730 + }, + { + "entropy": 5.436894702911377, + "epoch": 4.773575390821987, + "grad_norm": 1.390625, + "learning_rate": 0.00033158508401897707, + "loss": 4.9579, + "mean_token_accuracy": 0.19510447680950166, + "num_tokens": 10461521.0, + "step": 4735 + }, + { + "entropy": 5.441084003448486, + "epoch": 4.778618255168936, + "grad_norm": 1.140625, + "learning_rate": 0.0003312010793466273, + "loss": 5.0663, + "mean_token_accuracy": 0.17662031203508377, + "num_tokens": 10473052.0, + "step": 4740 + }, + { + "entropy": 5.386702537536621, + "epoch": 4.783661119515885, + "grad_norm": 1.2734375, + "learning_rate": 0.0003308169000000265, + "loss": 4.9103, + "mean_token_accuracy": 0.19201598614454268, + "num_tokens": 10483197.0, + "step": 4745 + }, + { + "entropy": 5.4234694480896, + "epoch": 4.788703983862834, + "grad_norm": 1.203125, + "learning_rate": 0.0003304325471732129, + "loss": 4.9217, + "mean_token_accuracy": 0.18737069070339202, + "num_tokens": 10493877.0, + "step": 4750 + }, + { + "entropy": 5.445645141601562, + "epoch": 4.793746848209783, + "grad_norm": 1.09375, + "learning_rate": 0.00033004802206076396, + "loss": 4.9896, + "mean_token_accuracy": 0.1867102414369583, + "num_tokens": 10505457.0, + "step": 4755 + }, + { + "entropy": 5.451334476470947, + "epoch": 4.798789712556732, + "grad_norm": 1.25, + "learning_rate": 0.00032966332585779263, + "loss": 5.0065, + "mean_token_accuracy": 0.18804700821638107, + "num_tokens": 10516746.0, + "step": 4760 + }, + { + "entropy": 5.501697826385498, + "epoch": 4.803832576903681, + "grad_norm": 1.265625, + "learning_rate": 0.00032927845975994356, + "loss": 4.987, + "mean_token_accuracy": 0.18748954087495803, + "num_tokens": 10527879.0, + "step": 4765 + }, + { + "entropy": 5.478173398971558, + "epoch": 4.80887544125063, + "grad_norm": 1.25, + "learning_rate": 0.00032889342496338953, + "loss": 5.043, + "mean_token_accuracy": 0.18037958443164825, + "num_tokens": 10539729.0, + "step": 4770 + }, + { + "entropy": 5.456065368652344, + "epoch": 4.813918305597579, + "grad_norm": 1.1484375, + "learning_rate": 0.0003285082226648273, + "loss": 5.061, + "mean_token_accuracy": 0.18717390894889832, + "num_tokens": 10551343.0, + "step": 4775 + }, + { + "entropy": 5.458584022521973, + "epoch": 4.8189611699445285, + "grad_norm": 1.1875, + "learning_rate": 0.0003281228540614749, + "loss": 4.9506, + "mean_token_accuracy": 0.19011957943439484, + "num_tokens": 10562362.0, + "step": 4780 + }, + { + "entropy": 5.431289768218994, + "epoch": 4.824004034291478, + "grad_norm": 1.1171875, + "learning_rate": 0.00032773732035106657, + "loss": 4.9544, + "mean_token_accuracy": 0.18818462193012236, + "num_tokens": 10574203.0, + "step": 4785 + }, + { + "entropy": 5.452210330963135, + "epoch": 4.829046898638427, + "grad_norm": 1.1796875, + "learning_rate": 0.00032735162273185006, + "loss": 4.9991, + "mean_token_accuracy": 0.17896709591150284, + "num_tokens": 10585732.0, + "step": 4790 + }, + { + "entropy": 5.494658279418945, + "epoch": 4.834089762985376, + "grad_norm": 1.1953125, + "learning_rate": 0.0003269657624025824, + "loss": 5.0101, + "mean_token_accuracy": 0.19213832318782806, + "num_tokens": 10596414.0, + "step": 4795 + }, + { + "entropy": 5.473741817474365, + "epoch": 4.839132627332325, + "grad_norm": 1.03125, + "learning_rate": 0.0003265797405625265, + "loss": 4.947, + "mean_token_accuracy": 0.189757277071476, + "num_tokens": 10608893.0, + "step": 4800 + }, + { + "entropy": 5.353061628341675, + "epoch": 4.844175491679274, + "grad_norm": 1.2421875, + "learning_rate": 0.0003261935584114471, + "loss": 4.869, + "mean_token_accuracy": 0.19499963223934175, + "num_tokens": 10619229.0, + "step": 4805 + }, + { + "entropy": 5.358573865890503, + "epoch": 4.849218356026223, + "grad_norm": 1.0703125, + "learning_rate": 0.0003258072171496072, + "loss": 4.9867, + "mean_token_accuracy": 0.18436321318149568, + "num_tokens": 10630811.0, + "step": 4810 + }, + { + "entropy": 5.45855302810669, + "epoch": 4.854261220373172, + "grad_norm": 1.3203125, + "learning_rate": 0.0003254207179777644, + "loss": 4.9808, + "mean_token_accuracy": 0.19197733849287033, + "num_tokens": 10641191.0, + "step": 4815 + }, + { + "entropy": 5.453788089752197, + "epoch": 4.8593040847201205, + "grad_norm": 1.265625, + "learning_rate": 0.000325034062097167, + "loss": 5.0329, + "mean_token_accuracy": 0.18242633044719697, + "num_tokens": 10652019.0, + "step": 4820 + }, + { + "entropy": 5.456726026535034, + "epoch": 4.86434694906707, + "grad_norm": 1.140625, + "learning_rate": 0.00032464725070955046, + "loss": 5.0328, + "mean_token_accuracy": 0.18062737584114075, + "num_tokens": 10664820.0, + "step": 4825 + }, + { + "entropy": 5.48663558959961, + "epoch": 4.869389813414019, + "grad_norm": 1.296875, + "learning_rate": 0.00032426028501713347, + "loss": 4.9731, + "mean_token_accuracy": 0.18408883810043336, + "num_tokens": 10676343.0, + "step": 4830 + }, + { + "entropy": 5.445742988586426, + "epoch": 4.874432677760968, + "grad_norm": 1.25, + "learning_rate": 0.00032387316622261425, + "loss": 5.0056, + "mean_token_accuracy": 0.18338582515716553, + "num_tokens": 10687464.0, + "step": 4835 + }, + { + "entropy": 5.407337713241577, + "epoch": 4.879475542107917, + "grad_norm": 1.1328125, + "learning_rate": 0.00032348589552916703, + "loss": 4.9456, + "mean_token_accuracy": 0.18678104132413864, + "num_tokens": 10698796.0, + "step": 4840 + }, + { + "entropy": 5.440946578979492, + "epoch": 4.884518406454866, + "grad_norm": 1.21875, + "learning_rate": 0.0003230984741404381, + "loss": 4.9428, + "mean_token_accuracy": 0.18648777455091475, + "num_tokens": 10708759.0, + "step": 4845 + }, + { + "entropy": 5.520267152786255, + "epoch": 4.889561270801815, + "grad_norm": 1.3671875, + "learning_rate": 0.0003227109032605419, + "loss": 4.9954, + "mean_token_accuracy": 0.18635909855365754, + "num_tokens": 10718518.0, + "step": 4850 + }, + { + "entropy": 5.474165201187134, + "epoch": 4.894604135148764, + "grad_norm": 1.171875, + "learning_rate": 0.0003223231840940578, + "loss": 5.0391, + "mean_token_accuracy": 0.18102305382490158, + "num_tokens": 10730091.0, + "step": 4855 + }, + { + "entropy": 5.400430488586426, + "epoch": 4.8996469994957135, + "grad_norm": 1.2578125, + "learning_rate": 0.00032193531784602595, + "loss": 4.9725, + "mean_token_accuracy": 0.18741223067045212, + "num_tokens": 10739664.0, + "step": 4860 + }, + { + "entropy": 5.423764419555664, + "epoch": 4.904689863842663, + "grad_norm": 1.3359375, + "learning_rate": 0.00032154730572194346, + "loss": 4.9291, + "mean_token_accuracy": 0.19145375043153762, + "num_tokens": 10749573.0, + "step": 4865 + }, + { + "entropy": 5.503514146804809, + "epoch": 4.909732728189612, + "grad_norm": 1.2734375, + "learning_rate": 0.000321159148927761, + "loss": 5.0556, + "mean_token_accuracy": 0.18899090141057967, + "num_tokens": 10760455.0, + "step": 4870 + }, + { + "entropy": 5.5097449779510494, + "epoch": 4.914775592536561, + "grad_norm": 1.3125, + "learning_rate": 0.000320770848669879, + "loss": 5.0187, + "mean_token_accuracy": 0.18463164716959, + "num_tokens": 10771845.0, + "step": 4875 + }, + { + "entropy": 5.438835954666137, + "epoch": 4.91981845688351, + "grad_norm": 1.171875, + "learning_rate": 0.00032038240615514345, + "loss": 4.9946, + "mean_token_accuracy": 0.18855448365211486, + "num_tokens": 10783812.0, + "step": 4880 + }, + { + "entropy": 5.403696203231812, + "epoch": 4.924861321230459, + "grad_norm": 1.3125, + "learning_rate": 0.0003199938225908426, + "loss": 4.9135, + "mean_token_accuracy": 0.18758562356233596, + "num_tokens": 10794390.0, + "step": 4885 + }, + { + "entropy": 5.430738544464111, + "epoch": 4.929904185577408, + "grad_norm": 1.140625, + "learning_rate": 0.0003196050991847033, + "loss": 4.9578, + "mean_token_accuracy": 0.18548450171947478, + "num_tokens": 10805521.0, + "step": 4890 + }, + { + "entropy": 5.4192510604858395, + "epoch": 4.934947049924357, + "grad_norm": 1.15625, + "learning_rate": 0.0003192162371448868, + "loss": 4.9664, + "mean_token_accuracy": 0.1857212409377098, + "num_tokens": 10816265.0, + "step": 4895 + }, + { + "entropy": 5.4131299495697025, + "epoch": 4.939989914271306, + "grad_norm": 1.28125, + "learning_rate": 0.00031882723767998517, + "loss": 4.9921, + "mean_token_accuracy": 0.18737585991621017, + "num_tokens": 10826285.0, + "step": 4900 + }, + { + "entropy": 5.41847596168518, + "epoch": 4.9450327786182555, + "grad_norm": 1.2578125, + "learning_rate": 0.00031843810199901795, + "loss": 4.9347, + "mean_token_accuracy": 0.19147606939077377, + "num_tokens": 10836817.0, + "step": 4905 + }, + { + "entropy": 5.45005612373352, + "epoch": 4.950075642965205, + "grad_norm": 1.171875, + "learning_rate": 0.0003180488313114277, + "loss": 4.9638, + "mean_token_accuracy": 0.18842111229896547, + "num_tokens": 10848186.0, + "step": 4910 + }, + { + "entropy": 5.374664354324341, + "epoch": 4.955118507312154, + "grad_norm": 1.234375, + "learning_rate": 0.0003176594268270766, + "loss": 4.9524, + "mean_token_accuracy": 0.19444430619478226, + "num_tokens": 10858851.0, + "step": 4915 + }, + { + "entropy": 5.424822568893433, + "epoch": 4.960161371659103, + "grad_norm": 1.1171875, + "learning_rate": 0.00031726988975624293, + "loss": 4.9957, + "mean_token_accuracy": 0.18679312616586685, + "num_tokens": 10870242.0, + "step": 4920 + }, + { + "entropy": 5.4419248580932615, + "epoch": 4.965204236006051, + "grad_norm": 1.2734375, + "learning_rate": 0.00031688022130961675, + "loss": 4.9299, + "mean_token_accuracy": 0.18993133008480073, + "num_tokens": 10881580.0, + "step": 4925 + }, + { + "entropy": 5.439469051361084, + "epoch": 4.970247100353, + "grad_norm": 1.1484375, + "learning_rate": 0.0003164904226982967, + "loss": 4.9934, + "mean_token_accuracy": 0.19487899541854858, + "num_tokens": 10893140.0, + "step": 4930 + }, + { + "entropy": 5.448909187316895, + "epoch": 4.975289964699949, + "grad_norm": 1.1328125, + "learning_rate": 0.00031610049513378574, + "loss": 4.9945, + "mean_token_accuracy": 0.1908086955547333, + "num_tokens": 10904373.0, + "step": 4935 + }, + { + "entropy": 5.507550525665283, + "epoch": 4.9803328290468984, + "grad_norm": 1.328125, + "learning_rate": 0.00031571043982798786, + "loss": 5.0025, + "mean_token_accuracy": 0.18820565193891525, + "num_tokens": 10914155.0, + "step": 4940 + }, + { + "entropy": 5.516139650344849, + "epoch": 4.985375693393848, + "grad_norm": 1.1796875, + "learning_rate": 0.0003153202579932039, + "loss": 5.009, + "mean_token_accuracy": 0.1866231933236122, + "num_tokens": 10926325.0, + "step": 4945 + }, + { + "entropy": 5.493792581558227, + "epoch": 4.990418557740797, + "grad_norm": 1.15625, + "learning_rate": 0.00031492995084212794, + "loss": 5.0369, + "mean_token_accuracy": 0.18808876425027848, + "num_tokens": 10938799.0, + "step": 4950 + }, + { + "entropy": 5.443079853057862, + "epoch": 4.995461422087746, + "grad_norm": 1.1796875, + "learning_rate": 0.0003145395195878437, + "loss": 4.8587, + "mean_token_accuracy": 0.19427645206451416, + "num_tokens": 10949918.0, + "step": 4955 + }, + { + "entropy": 5.373980893029107, + "epoch": 5.0, + "grad_norm": 2.296875, + "learning_rate": 0.00031414896544382047, + "loss": 4.8479, + "mean_token_accuracy": 0.1932825760708915, + "num_tokens": 10958200.0, + "step": 4960 + }, + { + "entropy": 5.377087545394898, + "epoch": 5.005042864346949, + "grad_norm": 1.1796875, + "learning_rate": 0.0003137582896239095, + "loss": 4.7798, + "mean_token_accuracy": 0.19978601783514022, + "num_tokens": 10969020.0, + "step": 4965 + }, + { + "entropy": 5.3690825462341305, + "epoch": 5.010085728693898, + "grad_norm": 1.1796875, + "learning_rate": 0.0003133674933423404, + "loss": 4.6958, + "mean_token_accuracy": 0.21049367189407348, + "num_tokens": 10978191.0, + "step": 4970 + }, + { + "entropy": 5.39783124923706, + "epoch": 5.015128593040847, + "grad_norm": 1.1171875, + "learning_rate": 0.00031297657781371687, + "loss": 4.769, + "mean_token_accuracy": 0.20987659692764282, + "num_tokens": 10989022.0, + "step": 4975 + }, + { + "entropy": 5.46621470451355, + "epoch": 5.0201714573877965, + "grad_norm": 1.25, + "learning_rate": 0.0003125855442530135, + "loss": 4.8209, + "mean_token_accuracy": 0.20026374459266663, + "num_tokens": 11002727.0, + "step": 4980 + }, + { + "entropy": 5.405496120452881, + "epoch": 5.025214321734746, + "grad_norm": 1.078125, + "learning_rate": 0.00031219439387557155, + "loss": 4.762, + "mean_token_accuracy": 0.2060738682746887, + "num_tokens": 11013723.0, + "step": 4985 + }, + { + "entropy": 5.470185852050781, + "epoch": 5.030257186081695, + "grad_norm": 1.1640625, + "learning_rate": 0.00031180312789709535, + "loss": 4.7332, + "mean_token_accuracy": 0.20676991194486619, + "num_tokens": 11024676.0, + "step": 4990 + }, + { + "entropy": 5.4253129959106445, + "epoch": 5.035300050428644, + "grad_norm": 1.2265625, + "learning_rate": 0.0003114117475336487, + "loss": 4.7794, + "mean_token_accuracy": 0.2019949272274971, + "num_tokens": 11036314.0, + "step": 4995 + }, + { + "entropy": 5.399463033676147, + "epoch": 5.040342914775593, + "grad_norm": 1.3046875, + "learning_rate": 0.0003110202540016509, + "loss": 4.7499, + "mean_token_accuracy": 0.2073090746998787, + "num_tokens": 11046321.0, + "step": 5000 + }, + { + "epoch": 5.040342914775593, + "eval_entropy": 5.259037116708343, + "eval_loss": 5.665579795837402, + "eval_mean_token_accuracy": 0.1547874487538374, + "eval_num_tokens": 11046321.0, + "eval_runtime": 2.0489, + "eval_samples_per_second": 1531.555, + "eval_steps_per_second": 191.81, + "step": 5000 + }, + { + "entropy": 5.422780227661133, + "epoch": 5.045385779122542, + "grad_norm": 1.0546875, + "learning_rate": 0.00031062864851787267, + "loss": 4.7483, + "mean_token_accuracy": 0.20660395473241805, + "num_tokens": 11059021.0, + "step": 5005 + }, + { + "entropy": 5.413686323165893, + "epoch": 5.05042864346949, + "grad_norm": 1.390625, + "learning_rate": 0.00031023693229943294, + "loss": 4.7311, + "mean_token_accuracy": 0.20787329226732254, + "num_tokens": 11069785.0, + "step": 5010 + }, + { + "entropy": 5.442879867553711, + "epoch": 5.055471507816439, + "grad_norm": 1.328125, + "learning_rate": 0.0003098451065637948, + "loss": 4.789, + "mean_token_accuracy": 0.20268239378929137, + "num_tokens": 11079439.0, + "step": 5015 + }, + { + "entropy": 5.377065849304199, + "epoch": 5.0605143721633885, + "grad_norm": 1.2265625, + "learning_rate": 0.00030945317252876163, + "loss": 4.7887, + "mean_token_accuracy": 0.20264918059110643, + "num_tokens": 11089933.0, + "step": 5020 + }, + { + "entropy": 5.395506191253662, + "epoch": 5.065557236510338, + "grad_norm": 1.21875, + "learning_rate": 0.00030906113141247353, + "loss": 4.7127, + "mean_token_accuracy": 0.2048274829983711, + "num_tokens": 11099743.0, + "step": 5025 + }, + { + "entropy": 5.2882936000823975, + "epoch": 5.070600100857287, + "grad_norm": 1.4140625, + "learning_rate": 0.00030866898443340324, + "loss": 4.66, + "mean_token_accuracy": 0.21423418521881105, + "num_tokens": 11109993.0, + "step": 5030 + }, + { + "entropy": 5.454429244995117, + "epoch": 5.075642965204236, + "grad_norm": 1.234375, + "learning_rate": 0.0003082767328103527, + "loss": 4.7316, + "mean_token_accuracy": 0.19962920844554902, + "num_tokens": 11121071.0, + "step": 5035 + }, + { + "entropy": 5.468168592453003, + "epoch": 5.080685829551185, + "grad_norm": 1.34375, + "learning_rate": 0.00030788437776244895, + "loss": 4.707, + "mean_token_accuracy": 0.21180965304374694, + "num_tokens": 11130402.0, + "step": 5040 + }, + { + "entropy": 5.363940095901489, + "epoch": 5.085728693898134, + "grad_norm": 1.1875, + "learning_rate": 0.0003074919205091405, + "loss": 4.815, + "mean_token_accuracy": 0.200840762257576, + "num_tokens": 11141272.0, + "step": 5045 + }, + { + "entropy": 5.448993110656739, + "epoch": 5.090771558245083, + "grad_norm": 1.28125, + "learning_rate": 0.0003070993622701936, + "loss": 4.7531, + "mean_token_accuracy": 0.2033784419298172, + "num_tokens": 11152254.0, + "step": 5050 + }, + { + "entropy": 5.383047008514405, + "epoch": 5.095814422592032, + "grad_norm": 1.4296875, + "learning_rate": 0.00030670670426568837, + "loss": 4.6806, + "mean_token_accuracy": 0.21028010547161102, + "num_tokens": 11162848.0, + "step": 5055 + }, + { + "entropy": 5.356310844421387, + "epoch": 5.100857286938981, + "grad_norm": 1.265625, + "learning_rate": 0.0003063139477160147, + "loss": 4.6863, + "mean_token_accuracy": 0.20928248167037963, + "num_tokens": 11173896.0, + "step": 5060 + }, + { + "entropy": 5.398014307022095, + "epoch": 5.1059001512859306, + "grad_norm": 1.2734375, + "learning_rate": 0.00030592109384186935, + "loss": 4.7307, + "mean_token_accuracy": 0.21019263416528702, + "num_tokens": 11184423.0, + "step": 5065 + }, + { + "entropy": 5.388689661026001, + "epoch": 5.11094301563288, + "grad_norm": 1.3125, + "learning_rate": 0.000305528143864251, + "loss": 4.7624, + "mean_token_accuracy": 0.2092597559094429, + "num_tokens": 11195128.0, + "step": 5070 + }, + { + "entropy": 5.373467206954956, + "epoch": 5.115985879979829, + "grad_norm": 1.28125, + "learning_rate": 0.00030513509900445725, + "loss": 4.7285, + "mean_token_accuracy": 0.21020106822252274, + "num_tokens": 11205628.0, + "step": 5075 + }, + { + "entropy": 5.383992910385132, + "epoch": 5.121028744326778, + "grad_norm": 1.3828125, + "learning_rate": 0.00030474196048408065, + "loss": 4.7651, + "mean_token_accuracy": 0.20403726100921632, + "num_tokens": 11216835.0, + "step": 5080 + }, + { + "entropy": 5.391399335861206, + "epoch": 5.126071608673727, + "grad_norm": 1.4140625, + "learning_rate": 0.0003043487295250049, + "loss": 4.7863, + "mean_token_accuracy": 0.19799292981624603, + "num_tokens": 11228763.0, + "step": 5085 + }, + { + "entropy": 5.366147708892822, + "epoch": 5.131114473020676, + "grad_norm": 1.3203125, + "learning_rate": 0.0003039554073494006, + "loss": 4.7319, + "mean_token_accuracy": 0.21267775297164918, + "num_tokens": 11239432.0, + "step": 5090 + }, + { + "entropy": 5.470732545852661, + "epoch": 5.136157337367624, + "grad_norm": 1.15625, + "learning_rate": 0.0003035619951797224, + "loss": 4.8514, + "mean_token_accuracy": 0.1952908530831337, + "num_tokens": 11249618.0, + "step": 5095 + }, + { + "entropy": 5.432192802429199, + "epoch": 5.1412002017145735, + "grad_norm": 1.234375, + "learning_rate": 0.0003031684942387043, + "loss": 4.7746, + "mean_token_accuracy": 0.2070817768573761, + "num_tokens": 11260359.0, + "step": 5100 + }, + { + "entropy": 5.400609254837036, + "epoch": 5.146243066061523, + "grad_norm": 1.1328125, + "learning_rate": 0.00030277490574935633, + "loss": 4.8143, + "mean_token_accuracy": 0.1999165177345276, + "num_tokens": 11272003.0, + "step": 5105 + }, + { + "entropy": 5.39234561920166, + "epoch": 5.151285930408472, + "grad_norm": 1.1796875, + "learning_rate": 0.0003023812309349605, + "loss": 4.7549, + "mean_token_accuracy": 0.20627606362104417, + "num_tokens": 11283649.0, + "step": 5110 + }, + { + "entropy": 5.5274261951446535, + "epoch": 5.156328794755421, + "grad_norm": 1.1953125, + "learning_rate": 0.0003019874710190674, + "loss": 4.8718, + "mean_token_accuracy": 0.1988748401403427, + "num_tokens": 11295844.0, + "step": 5115 + }, + { + "entropy": 5.449365043640137, + "epoch": 5.16137165910237, + "grad_norm": 1.203125, + "learning_rate": 0.0003015936272254918, + "loss": 4.7737, + "mean_token_accuracy": 0.2059719055891037, + "num_tokens": 11306676.0, + "step": 5120 + }, + { + "entropy": 5.384851932525635, + "epoch": 5.166414523449319, + "grad_norm": 1.234375, + "learning_rate": 0.0003011997007783094, + "loss": 4.7456, + "mean_token_accuracy": 0.20340470224618912, + "num_tokens": 11317801.0, + "step": 5125 + }, + { + "entropy": 5.382043647766113, + "epoch": 5.171457387796268, + "grad_norm": 1.296875, + "learning_rate": 0.0003008056929018525, + "loss": 4.7306, + "mean_token_accuracy": 0.20402662605047225, + "num_tokens": 11327530.0, + "step": 5130 + }, + { + "entropy": 5.5060724258422855, + "epoch": 5.176500252143217, + "grad_norm": 1.3515625, + "learning_rate": 0.00030041160482070686, + "loss": 4.7442, + "mean_token_accuracy": 0.20388694554567338, + "num_tokens": 11338784.0, + "step": 5135 + }, + { + "entropy": 5.406298446655273, + "epoch": 5.181543116490166, + "grad_norm": 1.4765625, + "learning_rate": 0.00030001743775970714, + "loss": 4.7815, + "mean_token_accuracy": 0.20606305152177812, + "num_tokens": 11348666.0, + "step": 5140 + }, + { + "entropy": 5.387162542343139, + "epoch": 5.1865859808371155, + "grad_norm": 1.4140625, + "learning_rate": 0.00029962319294393383, + "loss": 4.73, + "mean_token_accuracy": 0.2070406809449196, + "num_tokens": 11358247.0, + "step": 5145 + }, + { + "entropy": 5.343744802474975, + "epoch": 5.191628845184065, + "grad_norm": 1.4140625, + "learning_rate": 0.0002992288715987088, + "loss": 4.754, + "mean_token_accuracy": 0.20762002915143968, + "num_tokens": 11369897.0, + "step": 5150 + }, + { + "entropy": 5.429714822769165, + "epoch": 5.196671709531014, + "grad_norm": 1.1796875, + "learning_rate": 0.0002988344749495919, + "loss": 4.8356, + "mean_token_accuracy": 0.20064053535461426, + "num_tokens": 11381747.0, + "step": 5155 + }, + { + "entropy": 5.450630521774292, + "epoch": 5.201714573877963, + "grad_norm": 1.1796875, + "learning_rate": 0.00029844000422237714, + "loss": 4.8277, + "mean_token_accuracy": 0.19658990800380707, + "num_tokens": 11393725.0, + "step": 5160 + }, + { + "entropy": 5.3230180740356445, + "epoch": 5.206757438224912, + "grad_norm": 1.3515625, + "learning_rate": 0.00029804546064308854, + "loss": 4.7771, + "mean_token_accuracy": 0.2036718338727951, + "num_tokens": 11405223.0, + "step": 5165 + }, + { + "entropy": 5.4090415954589846, + "epoch": 5.211800302571861, + "grad_norm": 1.1171875, + "learning_rate": 0.00029765084543797657, + "loss": 4.7617, + "mean_token_accuracy": 0.20066658705472945, + "num_tokens": 11416334.0, + "step": 5170 + }, + { + "entropy": 5.387953090667724, + "epoch": 5.21684316691881, + "grad_norm": 1.28125, + "learning_rate": 0.0002972561598335145, + "loss": 4.7496, + "mean_token_accuracy": 0.20192946195602418, + "num_tokens": 11427202.0, + "step": 5175 + }, + { + "entropy": 5.42350058555603, + "epoch": 5.221886031265759, + "grad_norm": 1.2734375, + "learning_rate": 0.0002968614050563943, + "loss": 4.8457, + "mean_token_accuracy": 0.19637791067361832, + "num_tokens": 11438302.0, + "step": 5180 + }, + { + "entropy": 5.411188840866089, + "epoch": 5.2269288956127085, + "grad_norm": 1.1875, + "learning_rate": 0.0002964665823335229, + "loss": 4.7577, + "mean_token_accuracy": 0.20150525718927384, + "num_tokens": 11450551.0, + "step": 5185 + }, + { + "entropy": 5.3604906558990475, + "epoch": 5.231971759959657, + "grad_norm": 1.171875, + "learning_rate": 0.00029607169289201836, + "loss": 4.741, + "mean_token_accuracy": 0.21597910523414612, + "num_tokens": 11460907.0, + "step": 5190 + }, + { + "entropy": 5.375416374206543, + "epoch": 5.237014624306606, + "grad_norm": 1.2109375, + "learning_rate": 0.00029567673795920625, + "loss": 4.7224, + "mean_token_accuracy": 0.207424658536911, + "num_tokens": 11472290.0, + "step": 5195 + }, + { + "entropy": 5.276330804824829, + "epoch": 5.242057488653555, + "grad_norm": 1.171875, + "learning_rate": 0.00029528171876261555, + "loss": 4.7787, + "mean_token_accuracy": 0.20905390083789827, + "num_tokens": 11484946.0, + "step": 5200 + }, + { + "entropy": 5.454510831832886, + "epoch": 5.247100353000504, + "grad_norm": 1.2734375, + "learning_rate": 0.0002948866365299751, + "loss": 4.8389, + "mean_token_accuracy": 0.1950281471014023, + "num_tokens": 11494845.0, + "step": 5205 + }, + { + "entropy": 5.511236238479614, + "epoch": 5.252143217347453, + "grad_norm": 1.203125, + "learning_rate": 0.0002944914924892096, + "loss": 4.852, + "mean_token_accuracy": 0.19927518665790558, + "num_tokens": 11506533.0, + "step": 5210 + }, + { + "entropy": 5.375716781616211, + "epoch": 5.257186081694402, + "grad_norm": 1.2265625, + "learning_rate": 0.0002940962878684358, + "loss": 4.7628, + "mean_token_accuracy": 0.20310329794883727, + "num_tokens": 11516985.0, + "step": 5215 + }, + { + "entropy": 5.324270009994507, + "epoch": 5.262228946041351, + "grad_norm": 1.515625, + "learning_rate": 0.0002937010238959588, + "loss": 4.7455, + "mean_token_accuracy": 0.20899288654327391, + "num_tokens": 11526203.0, + "step": 5220 + }, + { + "entropy": 5.351016664505005, + "epoch": 5.2672718103883005, + "grad_norm": 1.4609375, + "learning_rate": 0.0002933057018002681, + "loss": 4.8466, + "mean_token_accuracy": 0.2013192817568779, + "num_tokens": 11536676.0, + "step": 5225 + }, + { + "entropy": 5.415819597244263, + "epoch": 5.27231467473525, + "grad_norm": 1.1171875, + "learning_rate": 0.000292910322810034, + "loss": 4.7999, + "mean_token_accuracy": 0.20850418359041215, + "num_tokens": 11548466.0, + "step": 5230 + }, + { + "entropy": 5.401542377471924, + "epoch": 5.277357539082199, + "grad_norm": 1.1171875, + "learning_rate": 0.00029251488815410344, + "loss": 4.8248, + "mean_token_accuracy": 0.19646383076906204, + "num_tokens": 11560065.0, + "step": 5235 + }, + { + "entropy": 5.407020950317383, + "epoch": 5.282400403429148, + "grad_norm": 1.25, + "learning_rate": 0.00029211939906149644, + "loss": 4.8254, + "mean_token_accuracy": 0.1985974207520485, + "num_tokens": 11571718.0, + "step": 5240 + }, + { + "entropy": 5.37835693359375, + "epoch": 5.287443267776097, + "grad_norm": 1.2578125, + "learning_rate": 0.00029172385676140225, + "loss": 4.8058, + "mean_token_accuracy": 0.20265444219112397, + "num_tokens": 11583046.0, + "step": 5245 + }, + { + "entropy": 5.317554950714111, + "epoch": 5.292486132123046, + "grad_norm": 1.265625, + "learning_rate": 0.00029132826248317537, + "loss": 4.6898, + "mean_token_accuracy": 0.20848133116960527, + "num_tokens": 11593744.0, + "step": 5250 + }, + { + "entropy": 5.385888576507568, + "epoch": 5.297528996469995, + "grad_norm": 1.2421875, + "learning_rate": 0.0002909326174563322, + "loss": 4.7439, + "mean_token_accuracy": 0.20916520357131957, + "num_tokens": 11604337.0, + "step": 5255 + }, + { + "entropy": 5.394536018371582, + "epoch": 5.302571860816944, + "grad_norm": 1.2578125, + "learning_rate": 0.00029053692291054636, + "loss": 4.8092, + "mean_token_accuracy": 0.2000624418258667, + "num_tokens": 11615712.0, + "step": 5260 + }, + { + "entropy": 5.324703073501587, + "epoch": 5.307614725163893, + "grad_norm": 1.140625, + "learning_rate": 0.00029014118007564564, + "loss": 4.7372, + "mean_token_accuracy": 0.20561733543872834, + "num_tokens": 11625846.0, + "step": 5265 + }, + { + "entropy": 5.344365358352661, + "epoch": 5.3126575895108425, + "grad_norm": 1.296875, + "learning_rate": 0.0002897453901816081, + "loss": 4.7914, + "mean_token_accuracy": 0.20059997588396072, + "num_tokens": 11635968.0, + "step": 5270 + }, + { + "entropy": 5.4661658763885494, + "epoch": 5.317700453857791, + "grad_norm": 1.3515625, + "learning_rate": 0.00028934955445855773, + "loss": 4.8665, + "mean_token_accuracy": 0.20574951171875, + "num_tokens": 11646858.0, + "step": 5275 + }, + { + "entropy": 5.3323393821716305, + "epoch": 5.32274331820474, + "grad_norm": 1.328125, + "learning_rate": 0.00028895367413676095, + "loss": 4.7689, + "mean_token_accuracy": 0.20801410377025603, + "num_tokens": 11657728.0, + "step": 5280 + }, + { + "entropy": 5.462389087677002, + "epoch": 5.327786182551689, + "grad_norm": 1.265625, + "learning_rate": 0.0002885577504466232, + "loss": 4.8162, + "mean_token_accuracy": 0.20330755561590194, + "num_tokens": 11668288.0, + "step": 5285 + }, + { + "entropy": 5.37921552658081, + "epoch": 5.332829046898638, + "grad_norm": 1.140625, + "learning_rate": 0.00028816178461868425, + "loss": 4.7375, + "mean_token_accuracy": 0.2022107347846031, + "num_tokens": 11679883.0, + "step": 5290 + }, + { + "entropy": 5.415158128738403, + "epoch": 5.337871911245587, + "grad_norm": 1.1484375, + "learning_rate": 0.0002877657778836151, + "loss": 4.8363, + "mean_token_accuracy": 0.19621689319610597, + "num_tokens": 11690643.0, + "step": 5295 + }, + { + "entropy": 5.428422117233277, + "epoch": 5.342914775592536, + "grad_norm": 1.3828125, + "learning_rate": 0.0002873697314722138, + "loss": 4.8324, + "mean_token_accuracy": 0.20309034287929534, + "num_tokens": 11701687.0, + "step": 5300 + }, + { + "entropy": 5.359555959701538, + "epoch": 5.3479576399394855, + "grad_norm": 1.09375, + "learning_rate": 0.0002869736466154018, + "loss": 4.7564, + "mean_token_accuracy": 0.20772893279790877, + "num_tokens": 11713432.0, + "step": 5305 + }, + { + "entropy": 5.408741807937622, + "epoch": 5.353000504286435, + "grad_norm": 1.3203125, + "learning_rate": 0.00028657752454421974, + "loss": 4.8059, + "mean_token_accuracy": 0.20484850853681563, + "num_tokens": 11725009.0, + "step": 5310 + }, + { + "entropy": 5.435963106155396, + "epoch": 5.358043368633384, + "grad_norm": 1.265625, + "learning_rate": 0.0002861813664898245, + "loss": 4.7478, + "mean_token_accuracy": 0.21129528284072877, + "num_tokens": 11735576.0, + "step": 5315 + }, + { + "entropy": 5.396055507659912, + "epoch": 5.363086232980333, + "grad_norm": 1.234375, + "learning_rate": 0.00028578517368348425, + "loss": 4.7527, + "mean_token_accuracy": 0.2051149368286133, + "num_tokens": 11746334.0, + "step": 5320 + }, + { + "entropy": 5.342900180816651, + "epoch": 5.368129097327282, + "grad_norm": 1.1796875, + "learning_rate": 0.0002853889473565753, + "loss": 4.7693, + "mean_token_accuracy": 0.2017793208360672, + "num_tokens": 11757093.0, + "step": 5325 + }, + { + "entropy": 5.349963808059693, + "epoch": 5.373171961674231, + "grad_norm": 1.5859375, + "learning_rate": 0.0002849926887405784, + "loss": 4.7967, + "mean_token_accuracy": 0.19983594566583635, + "num_tokens": 11767141.0, + "step": 5330 + }, + { + "entropy": 5.512475156784058, + "epoch": 5.37821482602118, + "grad_norm": 1.2421875, + "learning_rate": 0.0002845963990670744, + "loss": 4.9514, + "mean_token_accuracy": 0.19021792709827423, + "num_tokens": 11778944.0, + "step": 5335 + }, + { + "entropy": 5.40713062286377, + "epoch": 5.383257690368129, + "grad_norm": 1.375, + "learning_rate": 0.00028420007956774077, + "loss": 4.6902, + "mean_token_accuracy": 0.20905327051877975, + "num_tokens": 11789081.0, + "step": 5340 + }, + { + "entropy": 5.3399951457977295, + "epoch": 5.388300554715078, + "grad_norm": 1.34375, + "learning_rate": 0.00028380373147434746, + "loss": 4.7737, + "mean_token_accuracy": 0.2040804609656334, + "num_tokens": 11800626.0, + "step": 5345 + }, + { + "entropy": 5.378877353668213, + "epoch": 5.3933434190620275, + "grad_norm": 1.203125, + "learning_rate": 0.00028340735601875376, + "loss": 4.7866, + "mean_token_accuracy": 0.19718751609325408, + "num_tokens": 11810899.0, + "step": 5350 + }, + { + "entropy": 5.417437934875489, + "epoch": 5.398386283408977, + "grad_norm": 1.21875, + "learning_rate": 0.0002830109544329036, + "loss": 4.8029, + "mean_token_accuracy": 0.20603054910898208, + "num_tokens": 11822599.0, + "step": 5355 + }, + { + "entropy": 5.413007068634033, + "epoch": 5.403429147755926, + "grad_norm": 1.0390625, + "learning_rate": 0.00028261452794882223, + "loss": 4.8487, + "mean_token_accuracy": 0.20448752641677856, + "num_tokens": 11836199.0, + "step": 5360 + }, + { + "entropy": 5.285883283615112, + "epoch": 5.408472012102875, + "grad_norm": 1.359375, + "learning_rate": 0.00028221807779861243, + "loss": 4.6572, + "mean_token_accuracy": 0.21588353663682938, + "num_tokens": 11846220.0, + "step": 5365 + }, + { + "entropy": 5.366286277770996, + "epoch": 5.413514876449823, + "grad_norm": 1.4453125, + "learning_rate": 0.0002818216052144502, + "loss": 4.7719, + "mean_token_accuracy": 0.20182025879621507, + "num_tokens": 11857356.0, + "step": 5370 + }, + { + "entropy": 5.40411696434021, + "epoch": 5.418557740796772, + "grad_norm": 1.3359375, + "learning_rate": 0.0002814251114285816, + "loss": 4.759, + "mean_token_accuracy": 0.20002357810735702, + "num_tokens": 11869088.0, + "step": 5375 + }, + { + "entropy": 5.362497329711914, + "epoch": 5.423600605143721, + "grad_norm": 1.3828125, + "learning_rate": 0.0002810285976733186, + "loss": 4.7575, + "mean_token_accuracy": 0.2007217139005661, + "num_tokens": 11878805.0, + "step": 5380 + }, + { + "entropy": 5.344033241271973, + "epoch": 5.4286434694906704, + "grad_norm": 1.296875, + "learning_rate": 0.0002806320651810349, + "loss": 4.7229, + "mean_token_accuracy": 0.20748991668224334, + "num_tokens": 11889656.0, + "step": 5385 + }, + { + "entropy": 5.390753555297851, + "epoch": 5.43368633383762, + "grad_norm": 1.21875, + "learning_rate": 0.0002802355151841627, + "loss": 4.7644, + "mean_token_accuracy": 0.20545733124017715, + "num_tokens": 11901816.0, + "step": 5390 + }, + { + "entropy": 5.306405162811279, + "epoch": 5.438729198184569, + "grad_norm": 1.296875, + "learning_rate": 0.0002798389489151886, + "loss": 4.7576, + "mean_token_accuracy": 0.2034154698252678, + "num_tokens": 11915049.0, + "step": 5395 + }, + { + "entropy": 5.366006183624267, + "epoch": 5.443772062531518, + "grad_norm": 1.1953125, + "learning_rate": 0.00027944236760664947, + "loss": 4.7347, + "mean_token_accuracy": 0.2040851205587387, + "num_tokens": 11925574.0, + "step": 5400 + }, + { + "entropy": 5.373019075393676, + "epoch": 5.448814926878467, + "grad_norm": 1.375, + "learning_rate": 0.00027904577249112945, + "loss": 4.7729, + "mean_token_accuracy": 0.20976183712482452, + "num_tokens": 11936790.0, + "step": 5405 + }, + { + "entropy": 5.37097053527832, + "epoch": 5.453857791225416, + "grad_norm": 1.2734375, + "learning_rate": 0.0002786491648012552, + "loss": 4.7702, + "mean_token_accuracy": 0.19968913346529008, + "num_tokens": 11947430.0, + "step": 5410 + }, + { + "entropy": 5.392760419845581, + "epoch": 5.458900655572365, + "grad_norm": 1.359375, + "learning_rate": 0.0002782525457696926, + "loss": 4.8093, + "mean_token_accuracy": 0.2016148239374161, + "num_tokens": 11959385.0, + "step": 5415 + }, + { + "entropy": 5.367619800567627, + "epoch": 5.463943519919314, + "grad_norm": 1.1875, + "learning_rate": 0.0002778559166291427, + "loss": 4.7897, + "mean_token_accuracy": 0.20243736058473588, + "num_tokens": 11972117.0, + "step": 5420 + }, + { + "entropy": 5.404072093963623, + "epoch": 5.468986384266263, + "grad_norm": 1.2109375, + "learning_rate": 0.0002774592786123379, + "loss": 4.8294, + "mean_token_accuracy": 0.19929574579000472, + "num_tokens": 11984195.0, + "step": 5425 + }, + { + "entropy": 5.384224510192871, + "epoch": 5.4740292486132125, + "grad_norm": 1.3828125, + "learning_rate": 0.0002770626329520386, + "loss": 4.7591, + "mean_token_accuracy": 0.20624046474695207, + "num_tokens": 11994875.0, + "step": 5430 + }, + { + "entropy": 5.42634220123291, + "epoch": 5.479072112960162, + "grad_norm": 1.3125, + "learning_rate": 0.0002766659808810285, + "loss": 4.8343, + "mean_token_accuracy": 0.20160355269908906, + "num_tokens": 12006408.0, + "step": 5435 + }, + { + "entropy": 5.4102010250091555, + "epoch": 5.484114977307111, + "grad_norm": 1.21875, + "learning_rate": 0.00027626932363211134, + "loss": 4.7882, + "mean_token_accuracy": 0.2065979465842247, + "num_tokens": 12016764.0, + "step": 5440 + }, + { + "entropy": 5.375625371932983, + "epoch": 5.48915784165406, + "grad_norm": 1.1328125, + "learning_rate": 0.0002758726624381071, + "loss": 4.7426, + "mean_token_accuracy": 0.21021603494882585, + "num_tokens": 12027900.0, + "step": 5445 + }, + { + "entropy": 5.3879789352417, + "epoch": 5.494200706001009, + "grad_norm": 1.34375, + "learning_rate": 0.0002754759985318478, + "loss": 4.8359, + "mean_token_accuracy": 0.19971801191568375, + "num_tokens": 12038641.0, + "step": 5450 + }, + { + "entropy": 5.400270891189575, + "epoch": 5.499243570347957, + "grad_norm": 1.203125, + "learning_rate": 0.0002750793331461741, + "loss": 4.8084, + "mean_token_accuracy": 0.19689522981643676, + "num_tokens": 12050938.0, + "step": 5455 + }, + { + "entropy": 5.380944490432739, + "epoch": 5.504286434694906, + "grad_norm": 1.203125, + "learning_rate": 0.0002746826675139313, + "loss": 4.7536, + "mean_token_accuracy": 0.2038170129060745, + "num_tokens": 12061483.0, + "step": 5460 + }, + { + "entropy": 5.428875350952149, + "epoch": 5.509329299041855, + "grad_norm": 1.4140625, + "learning_rate": 0.00027428600286796503, + "loss": 4.8109, + "mean_token_accuracy": 0.19564636945724487, + "num_tokens": 12073214.0, + "step": 5465 + }, + { + "entropy": 5.413195037841797, + "epoch": 5.5143721633888045, + "grad_norm": 1.515625, + "learning_rate": 0.00027388934044111836, + "loss": 4.7896, + "mean_token_accuracy": 0.20607620030641555, + "num_tokens": 12082536.0, + "step": 5470 + }, + { + "entropy": 5.447469186782837, + "epoch": 5.519415027735754, + "grad_norm": 1.2109375, + "learning_rate": 0.0002734926814662271, + "loss": 4.8629, + "mean_token_accuracy": 0.1926976814866066, + "num_tokens": 12094867.0, + "step": 5475 + }, + { + "entropy": 5.416417980194092, + "epoch": 5.524457892082703, + "grad_norm": 1.3984375, + "learning_rate": 0.00027309602717611673, + "loss": 4.8627, + "mean_token_accuracy": 0.20292915999889374, + "num_tokens": 12105385.0, + "step": 5480 + }, + { + "entropy": 5.364644479751587, + "epoch": 5.529500756429652, + "grad_norm": 1.1484375, + "learning_rate": 0.00027269937880359786, + "loss": 4.7571, + "mean_token_accuracy": 0.2100677892565727, + "num_tokens": 12117652.0, + "step": 5485 + }, + { + "entropy": 5.402087545394897, + "epoch": 5.534543620776601, + "grad_norm": 1.2734375, + "learning_rate": 0.00027230273758146263, + "loss": 4.8328, + "mean_token_accuracy": 0.20247368216514589, + "num_tokens": 12128372.0, + "step": 5490 + }, + { + "entropy": 5.426740074157715, + "epoch": 5.53958648512355, + "grad_norm": 1.3515625, + "learning_rate": 0.0002719061047424813, + "loss": 4.818, + "mean_token_accuracy": 0.2003900319337845, + "num_tokens": 12138943.0, + "step": 5495 + }, + { + "entropy": 5.3167243003845215, + "epoch": 5.544629349470499, + "grad_norm": 1.203125, + "learning_rate": 0.0002715094815193978, + "loss": 4.7368, + "mean_token_accuracy": 0.20867759585380555, + "num_tokens": 12149329.0, + "step": 5500 + }, + { + "entropy": 5.331606101989746, + "epoch": 5.549672213817448, + "grad_norm": 1.359375, + "learning_rate": 0.0002711128691449262, + "loss": 4.7266, + "mean_token_accuracy": 0.20735112428665162, + "num_tokens": 12160498.0, + "step": 5505 + }, + { + "entropy": 5.4235076904296875, + "epoch": 5.5547150781643975, + "grad_norm": 1.328125, + "learning_rate": 0.000270716268851747, + "loss": 4.8422, + "mean_token_accuracy": 0.19248930662870406, + "num_tokens": 12171110.0, + "step": 5510 + }, + { + "entropy": 5.297978353500366, + "epoch": 5.559757942511347, + "grad_norm": 1.1796875, + "learning_rate": 0.00027031968187250305, + "loss": 4.7609, + "mean_token_accuracy": 0.2007995918393135, + "num_tokens": 12182706.0, + "step": 5515 + }, + { + "entropy": 5.36890983581543, + "epoch": 5.564800806858296, + "grad_norm": 1.2578125, + "learning_rate": 0.0002699231094397957, + "loss": 4.7555, + "mean_token_accuracy": 0.20540590286254884, + "num_tokens": 12194023.0, + "step": 5520 + }, + { + "entropy": 5.39328031539917, + "epoch": 5.569843671205245, + "grad_norm": 1.40625, + "learning_rate": 0.0002695265527861815, + "loss": 4.7822, + "mean_token_accuracy": 0.19761642217636108, + "num_tokens": 12204165.0, + "step": 5525 + }, + { + "entropy": 5.416159820556641, + "epoch": 5.574886535552194, + "grad_norm": 1.28125, + "learning_rate": 0.0002691300131441674, + "loss": 4.8489, + "mean_token_accuracy": 0.1993971899151802, + "num_tokens": 12214840.0, + "step": 5530 + }, + { + "entropy": 5.398578071594239, + "epoch": 5.579929399899143, + "grad_norm": 1.1796875, + "learning_rate": 0.0002687334917462079, + "loss": 4.8122, + "mean_token_accuracy": 0.20347722321748735, + "num_tokens": 12226454.0, + "step": 5535 + }, + { + "entropy": 5.382529306411743, + "epoch": 5.584972264246092, + "grad_norm": 1.4921875, + "learning_rate": 0.0002683369898247005, + "loss": 4.8185, + "mean_token_accuracy": 0.19594880789518357, + "num_tokens": 12236958.0, + "step": 5540 + }, + { + "entropy": 5.407418203353882, + "epoch": 5.590015128593041, + "grad_norm": 1.2578125, + "learning_rate": 0.0002679405086119825, + "loss": 4.7829, + "mean_token_accuracy": 0.20016122311353685, + "num_tokens": 12248050.0, + "step": 5545 + }, + { + "entropy": 5.418981838226318, + "epoch": 5.59505799293999, + "grad_norm": 1.359375, + "learning_rate": 0.00026754404934032657, + "loss": 4.7709, + "mean_token_accuracy": 0.19695729166269302, + "num_tokens": 12258230.0, + "step": 5550 + }, + { + "entropy": 5.2918905258178714, + "epoch": 5.600100857286939, + "grad_norm": 1.3125, + "learning_rate": 0.0002671476132419374, + "loss": 4.7131, + "mean_token_accuracy": 0.2035423129796982, + "num_tokens": 12268708.0, + "step": 5555 + }, + { + "entropy": 5.359189367294311, + "epoch": 5.605143721633888, + "grad_norm": 1.2421875, + "learning_rate": 0.0002667512015489472, + "loss": 4.8098, + "mean_token_accuracy": 0.198850516974926, + "num_tokens": 12279363.0, + "step": 5560 + }, + { + "entropy": 5.361038446426392, + "epoch": 5.610186585980837, + "grad_norm": 1.2578125, + "learning_rate": 0.000266354815493413, + "loss": 4.6775, + "mean_token_accuracy": 0.2127465561032295, + "num_tokens": 12290525.0, + "step": 5565 + }, + { + "entropy": 5.3382140636444095, + "epoch": 5.615229450327786, + "grad_norm": 1.171875, + "learning_rate": 0.00026595845630731166, + "loss": 4.7394, + "mean_token_accuracy": 0.21278925836086274, + "num_tokens": 12301404.0, + "step": 5570 + }, + { + "entropy": 5.28578896522522, + "epoch": 5.620272314674735, + "grad_norm": 1.3515625, + "learning_rate": 0.00026556212522253666, + "loss": 4.7747, + "mean_token_accuracy": 0.20052016228437425, + "num_tokens": 12312601.0, + "step": 5575 + }, + { + "entropy": 5.371021366119384, + "epoch": 5.625315179021684, + "grad_norm": 1.4375, + "learning_rate": 0.0002651658234708941, + "loss": 4.7389, + "mean_token_accuracy": 0.20447789281606674, + "num_tokens": 12324192.0, + "step": 5580 + }, + { + "entropy": 5.4337811946868895, + "epoch": 5.630358043368633, + "grad_norm": 1.3046875, + "learning_rate": 0.00026476955228409924, + "loss": 4.7604, + "mean_token_accuracy": 0.21026771813631057, + "num_tokens": 12335358.0, + "step": 5585 + }, + { + "entropy": 5.328546142578125, + "epoch": 5.635400907715582, + "grad_norm": 1.1484375, + "learning_rate": 0.00026437331289377175, + "loss": 4.7659, + "mean_token_accuracy": 0.2018200382590294, + "num_tokens": 12347000.0, + "step": 5590 + }, + { + "entropy": 5.434003067016602, + "epoch": 5.640443772062532, + "grad_norm": 1.3046875, + "learning_rate": 0.0002639771065314329, + "loss": 4.8828, + "mean_token_accuracy": 0.19211796522140503, + "num_tokens": 12358067.0, + "step": 5595 + }, + { + "entropy": 5.412813138961792, + "epoch": 5.645486636409481, + "grad_norm": 1.078125, + "learning_rate": 0.00026358093442850134, + "loss": 4.7987, + "mean_token_accuracy": 0.19619182050228118, + "num_tokens": 12369359.0, + "step": 5600 + }, + { + "entropy": 5.379443597793579, + "epoch": 5.65052950075643, + "grad_norm": 1.1953125, + "learning_rate": 0.0002631847978162889, + "loss": 4.8384, + "mean_token_accuracy": 0.20223764479160308, + "num_tokens": 12380789.0, + "step": 5605 + }, + { + "entropy": 5.349356412887573, + "epoch": 5.655572365103379, + "grad_norm": 1.25, + "learning_rate": 0.00026278869792599745, + "loss": 4.7751, + "mean_token_accuracy": 0.20764461308717727, + "num_tokens": 12392591.0, + "step": 5610 + }, + { + "entropy": 5.34460825920105, + "epoch": 5.660615229450328, + "grad_norm": 1.3046875, + "learning_rate": 0.0002623926359887145, + "loss": 4.8184, + "mean_token_accuracy": 0.19706828147172928, + "num_tokens": 12404269.0, + "step": 5615 + }, + { + "entropy": 5.430381488800049, + "epoch": 5.665658093797277, + "grad_norm": 1.4453125, + "learning_rate": 0.00026199661323540973, + "loss": 4.8309, + "mean_token_accuracy": 0.20572761446237564, + "num_tokens": 12414356.0, + "step": 5620 + }, + { + "entropy": 5.4070611000061035, + "epoch": 5.670700958144226, + "grad_norm": 1.328125, + "learning_rate": 0.00026160063089693096, + "loss": 4.7887, + "mean_token_accuracy": 0.20611845701932907, + "num_tokens": 12424480.0, + "step": 5625 + }, + { + "entropy": 5.383074998855591, + "epoch": 5.675743822491175, + "grad_norm": 1.2578125, + "learning_rate": 0.0002612046902040006, + "loss": 4.8203, + "mean_token_accuracy": 0.19679659008979797, + "num_tokens": 12437253.0, + "step": 5630 + }, + { + "entropy": 5.478241586685181, + "epoch": 5.680786686838124, + "grad_norm": 1.1796875, + "learning_rate": 0.0002608087923872111, + "loss": 4.7828, + "mean_token_accuracy": 0.2005940333008766, + "num_tokens": 12448297.0, + "step": 5635 + }, + { + "entropy": 5.431466722488404, + "epoch": 5.685829551185073, + "grad_norm": 1.21875, + "learning_rate": 0.00026041293867702235, + "loss": 4.835, + "mean_token_accuracy": 0.20168797373771669, + "num_tokens": 12460066.0, + "step": 5640 + }, + { + "entropy": 5.405737352371216, + "epoch": 5.690872415532022, + "grad_norm": 1.2890625, + "learning_rate": 0.00026001713030375664, + "loss": 4.8312, + "mean_token_accuracy": 0.19425902664661407, + "num_tokens": 12469806.0, + "step": 5645 + }, + { + "entropy": 5.340780353546142, + "epoch": 5.695915279878971, + "grad_norm": 1.265625, + "learning_rate": 0.00025962136849759564, + "loss": 4.8248, + "mean_token_accuracy": 0.1924226090312004, + "num_tokens": 12480713.0, + "step": 5650 + }, + { + "entropy": 5.335066604614258, + "epoch": 5.70095814422592, + "grad_norm": 1.2890625, + "learning_rate": 0.00025922565448857605, + "loss": 4.7662, + "mean_token_accuracy": 0.19760394990444183, + "num_tokens": 12491635.0, + "step": 5655 + }, + { + "entropy": 5.405575895309449, + "epoch": 5.706001008572869, + "grad_norm": 1.4140625, + "learning_rate": 0.00025882998950658623, + "loss": 4.7873, + "mean_token_accuracy": 0.19493716955184937, + "num_tokens": 12502064.0, + "step": 5660 + }, + { + "entropy": 5.398749971389771, + "epoch": 5.711043872919818, + "grad_norm": 1.3359375, + "learning_rate": 0.00025843437478136196, + "loss": 4.8079, + "mean_token_accuracy": 0.20524186491966248, + "num_tokens": 12512525.0, + "step": 5665 + }, + { + "entropy": 5.335463333129883, + "epoch": 5.716086737266767, + "grad_norm": 1.1953125, + "learning_rate": 0.00025803881154248305, + "loss": 4.7732, + "mean_token_accuracy": 0.1931627333164215, + "num_tokens": 12523512.0, + "step": 5670 + }, + { + "entropy": 5.351618337631225, + "epoch": 5.7211296016137165, + "grad_norm": 1.3359375, + "learning_rate": 0.0002576433010193691, + "loss": 4.7278, + "mean_token_accuracy": 0.19881056994199753, + "num_tokens": 12533678.0, + "step": 5675 + }, + { + "entropy": 5.355673885345459, + "epoch": 5.726172465960666, + "grad_norm": 1.2265625, + "learning_rate": 0.000257247844441276, + "loss": 4.8625, + "mean_token_accuracy": 0.20028068572282792, + "num_tokens": 12545519.0, + "step": 5680 + }, + { + "entropy": 5.392779731750489, + "epoch": 5.731215330307615, + "grad_norm": 1.2421875, + "learning_rate": 0.00025685244303729187, + "loss": 4.7666, + "mean_token_accuracy": 0.20816505402326585, + "num_tokens": 12556960.0, + "step": 5685 + }, + { + "entropy": 5.359384536743164, + "epoch": 5.736258194654564, + "grad_norm": 1.265625, + "learning_rate": 0.0002564570980363334, + "loss": 4.7361, + "mean_token_accuracy": 0.20638254135847092, + "num_tokens": 12567085.0, + "step": 5690 + }, + { + "entropy": 5.3717506408691404, + "epoch": 5.741301059001513, + "grad_norm": 1.3671875, + "learning_rate": 0.00025606181066714195, + "loss": 4.7859, + "mean_token_accuracy": 0.19550453275442123, + "num_tokens": 12576382.0, + "step": 5695 + }, + { + "entropy": 5.380795001983643, + "epoch": 5.746343923348462, + "grad_norm": 1.28125, + "learning_rate": 0.0002556665821582798, + "loss": 4.804, + "mean_token_accuracy": 0.2034294456243515, + "num_tokens": 12587332.0, + "step": 5700 + }, + { + "entropy": 5.329462766647339, + "epoch": 5.751386787695411, + "grad_norm": 1.234375, + "learning_rate": 0.0002552714137381264, + "loss": 4.775, + "mean_token_accuracy": 0.20877379626035691, + "num_tokens": 12597816.0, + "step": 5705 + }, + { + "entropy": 5.419559144973755, + "epoch": 5.75642965204236, + "grad_norm": 1.203125, + "learning_rate": 0.0002548763066348741, + "loss": 4.8104, + "mean_token_accuracy": 0.2014116421341896, + "num_tokens": 12609463.0, + "step": 5710 + }, + { + "entropy": 5.347645282745361, + "epoch": 5.7614725163893095, + "grad_norm": 1.265625, + "learning_rate": 0.0002544812620765251, + "loss": 4.8199, + "mean_token_accuracy": 0.20352404415607453, + "num_tokens": 12621551.0, + "step": 5715 + }, + { + "entropy": 5.40521354675293, + "epoch": 5.766515380736259, + "grad_norm": 1.3671875, + "learning_rate": 0.0002540862812908868, + "loss": 4.7497, + "mean_token_accuracy": 0.2069175735116005, + "num_tokens": 12632246.0, + "step": 5720 + }, + { + "entropy": 5.376331758499146, + "epoch": 5.771558245083208, + "grad_norm": 1.265625, + "learning_rate": 0.0002536913655055687, + "loss": 4.7504, + "mean_token_accuracy": 0.20739430338144302, + "num_tokens": 12642398.0, + "step": 5725 + }, + { + "entropy": 5.343450546264648, + "epoch": 5.776601109430157, + "grad_norm": 1.2890625, + "learning_rate": 0.0002532965159479781, + "loss": 4.7801, + "mean_token_accuracy": 0.20516646802425384, + "num_tokens": 12652454.0, + "step": 5730 + }, + { + "entropy": 5.403167772293091, + "epoch": 5.781643973777105, + "grad_norm": 1.40625, + "learning_rate": 0.0002529017338453167, + "loss": 4.8266, + "mean_token_accuracy": 0.20408095866441728, + "num_tokens": 12663757.0, + "step": 5735 + }, + { + "entropy": 5.44119873046875, + "epoch": 5.786686838124054, + "grad_norm": 1.375, + "learning_rate": 0.0002525070204245761, + "loss": 4.8073, + "mean_token_accuracy": 0.20163584649562835, + "num_tokens": 12674795.0, + "step": 5740 + }, + { + "entropy": 5.388897228240967, + "epoch": 5.791729702471003, + "grad_norm": 1.34375, + "learning_rate": 0.00025211237691253507, + "loss": 4.8593, + "mean_token_accuracy": 0.19761030226945878, + "num_tokens": 12686162.0, + "step": 5745 + }, + { + "entropy": 5.411794424057007, + "epoch": 5.796772566817952, + "grad_norm": 1.3828125, + "learning_rate": 0.00025171780453575447, + "loss": 4.7833, + "mean_token_accuracy": 0.19894900172948837, + "num_tokens": 12696930.0, + "step": 5750 + }, + { + "entropy": 5.430048322677612, + "epoch": 5.8018154311649015, + "grad_norm": 1.265625, + "learning_rate": 0.0002513233045205746, + "loss": 4.8304, + "mean_token_accuracy": 0.20307109504938126, + "num_tokens": 12708083.0, + "step": 5755 + }, + { + "entropy": 5.339283895492554, + "epoch": 5.806858295511851, + "grad_norm": 1.40625, + "learning_rate": 0.0002509288780931102, + "loss": 4.7246, + "mean_token_accuracy": 0.20105741918087006, + "num_tokens": 12718852.0, + "step": 5760 + }, + { + "entropy": 5.389208507537842, + "epoch": 5.8119011598588, + "grad_norm": 1.515625, + "learning_rate": 0.0002505345264792482, + "loss": 4.8418, + "mean_token_accuracy": 0.2007734403014183, + "num_tokens": 12729276.0, + "step": 5765 + }, + { + "entropy": 5.384714031219483, + "epoch": 5.816944024205749, + "grad_norm": 1.2734375, + "learning_rate": 0.00025014025090464205, + "loss": 4.7587, + "mean_token_accuracy": 0.20847140103578568, + "num_tokens": 12739442.0, + "step": 5770 + }, + { + "entropy": 5.395238590240479, + "epoch": 5.821986888552698, + "grad_norm": 1.4296875, + "learning_rate": 0.00024974605259470975, + "loss": 4.8388, + "mean_token_accuracy": 0.20188961178064346, + "num_tokens": 12750315.0, + "step": 5775 + }, + { + "entropy": 5.367918825149536, + "epoch": 5.827029752899647, + "grad_norm": 1.171875, + "learning_rate": 0.00024935193277462835, + "loss": 4.7595, + "mean_token_accuracy": 0.20250935703516007, + "num_tokens": 12761306.0, + "step": 5780 + }, + { + "entropy": 5.399157953262329, + "epoch": 5.832072617246596, + "grad_norm": 1.3984375, + "learning_rate": 0.0002489578926693317, + "loss": 4.767, + "mean_token_accuracy": 0.20976047068834305, + "num_tokens": 12772182.0, + "step": 5785 + }, + { + "entropy": 5.362395763397217, + "epoch": 5.837115481593545, + "grad_norm": 1.25, + "learning_rate": 0.0002485639335035053, + "loss": 4.7758, + "mean_token_accuracy": 0.2043982192873955, + "num_tokens": 12783455.0, + "step": 5790 + }, + { + "entropy": 5.37901291847229, + "epoch": 5.842158345940494, + "grad_norm": 1.21875, + "learning_rate": 0.00024817005650158345, + "loss": 4.7832, + "mean_token_accuracy": 0.20846178829669954, + "num_tokens": 12794756.0, + "step": 5795 + }, + { + "entropy": 5.333470296859741, + "epoch": 5.8472012102874436, + "grad_norm": 1.203125, + "learning_rate": 0.00024777626288774473, + "loss": 4.7694, + "mean_token_accuracy": 0.20354427844285966, + "num_tokens": 12807748.0, + "step": 5800 + }, + { + "entropy": 5.330673408508301, + "epoch": 5.852244074634393, + "grad_norm": 1.328125, + "learning_rate": 0.0002473825538859091, + "loss": 4.7809, + "mean_token_accuracy": 0.20519086122512817, + "num_tokens": 12818642.0, + "step": 5805 + }, + { + "entropy": 5.362842655181884, + "epoch": 5.857286938981342, + "grad_norm": 1.2734375, + "learning_rate": 0.0002469889307197331, + "loss": 4.7522, + "mean_token_accuracy": 0.2019769474864006, + "num_tokens": 12830873.0, + "step": 5810 + }, + { + "entropy": 5.417681550979614, + "epoch": 5.86232980332829, + "grad_norm": 1.28125, + "learning_rate": 0.0002465953946126065, + "loss": 4.8827, + "mean_token_accuracy": 0.19947465062141417, + "num_tokens": 12842545.0, + "step": 5815 + }, + { + "entropy": 5.452762079238892, + "epoch": 5.867372667675239, + "grad_norm": 1.390625, + "learning_rate": 0.00024620194678764875, + "loss": 4.8285, + "mean_token_accuracy": 0.20198632925748825, + "num_tokens": 12853398.0, + "step": 5820 + }, + { + "entropy": 5.382379150390625, + "epoch": 5.872415532022188, + "grad_norm": 1.2578125, + "learning_rate": 0.0002458085884677046, + "loss": 4.7487, + "mean_token_accuracy": 0.20454103201627732, + "num_tokens": 12865637.0, + "step": 5825 + }, + { + "entropy": 5.35223274230957, + "epoch": 5.877458396369137, + "grad_norm": 1.1875, + "learning_rate": 0.00024541532087534097, + "loss": 4.7892, + "mean_token_accuracy": 0.20246104747056962, + "num_tokens": 12877055.0, + "step": 5830 + }, + { + "entropy": 5.314401578903198, + "epoch": 5.8825012607160865, + "grad_norm": 1.546875, + "learning_rate": 0.0002450221452328424, + "loss": 4.6618, + "mean_token_accuracy": 0.21492190062999725, + "num_tokens": 12887609.0, + "step": 5835 + }, + { + "entropy": 5.378951358795166, + "epoch": 5.887544125063036, + "grad_norm": 1.421875, + "learning_rate": 0.00024462906276220814, + "loss": 4.7694, + "mean_token_accuracy": 0.20678590536117553, + "num_tokens": 12898327.0, + "step": 5840 + }, + { + "entropy": 5.352730464935303, + "epoch": 5.892586989409985, + "grad_norm": 1.265625, + "learning_rate": 0.0002442360746851473, + "loss": 4.8597, + "mean_token_accuracy": 0.19703632742166519, + "num_tokens": 12909837.0, + "step": 5845 + }, + { + "entropy": 5.38573989868164, + "epoch": 5.897629853756934, + "grad_norm": 1.140625, + "learning_rate": 0.00024384318222307605, + "loss": 4.8392, + "mean_token_accuracy": 0.2016778990626335, + "num_tokens": 12921386.0, + "step": 5850 + }, + { + "entropy": 5.345422220230103, + "epoch": 5.902672718103883, + "grad_norm": 1.390625, + "learning_rate": 0.0002434503865971131, + "loss": 4.7784, + "mean_token_accuracy": 0.21095688492059708, + "num_tokens": 12932099.0, + "step": 5855 + }, + { + "entropy": 5.382601737976074, + "epoch": 5.907715582450832, + "grad_norm": 1.203125, + "learning_rate": 0.0002430576890280765, + "loss": 4.8036, + "mean_token_accuracy": 0.20520464032888414, + "num_tokens": 12944151.0, + "step": 5860 + }, + { + "entropy": 5.406586980819702, + "epoch": 5.912758446797781, + "grad_norm": 1.2265625, + "learning_rate": 0.00024266509073647913, + "loss": 4.8275, + "mean_token_accuracy": 0.2021748811006546, + "num_tokens": 12956399.0, + "step": 5865 + }, + { + "entropy": 5.408793163299561, + "epoch": 5.91780131114473, + "grad_norm": 1.171875, + "learning_rate": 0.00024227259294252578, + "loss": 4.8454, + "mean_token_accuracy": 0.2002648815512657, + "num_tokens": 12968332.0, + "step": 5870 + }, + { + "entropy": 5.366849565505982, + "epoch": 5.922844175491679, + "grad_norm": 1.203125, + "learning_rate": 0.0002418801968661084, + "loss": 4.7667, + "mean_token_accuracy": 0.20432819426059723, + "num_tokens": 12979647.0, + "step": 5875 + }, + { + "entropy": 5.388034963607788, + "epoch": 5.9278870398386285, + "grad_norm": 1.1015625, + "learning_rate": 0.00024148790372680324, + "loss": 4.8368, + "mean_token_accuracy": 0.1974472373723984, + "num_tokens": 12992115.0, + "step": 5880 + }, + { + "entropy": 5.358849620819091, + "epoch": 5.932929904185578, + "grad_norm": 1.3046875, + "learning_rate": 0.00024109571474386631, + "loss": 4.6664, + "mean_token_accuracy": 0.21497285068035127, + "num_tokens": 13002611.0, + "step": 5885 + }, + { + "entropy": 5.371519708633423, + "epoch": 5.937972768532527, + "grad_norm": 1.421875, + "learning_rate": 0.00024070363113623018, + "loss": 4.7082, + "mean_token_accuracy": 0.21265474408864976, + "num_tokens": 13013510.0, + "step": 5890 + }, + { + "entropy": 5.40354437828064, + "epoch": 5.943015632879476, + "grad_norm": 1.3359375, + "learning_rate": 0.00024031165412249938, + "loss": 4.8571, + "mean_token_accuracy": 0.19604741930961608, + "num_tokens": 13025962.0, + "step": 5895 + }, + { + "entropy": 5.315206623077392, + "epoch": 5.948058497226425, + "grad_norm": 1.421875, + "learning_rate": 0.000239919784920948, + "loss": 4.7802, + "mean_token_accuracy": 0.2017505183815956, + "num_tokens": 13036751.0, + "step": 5900 + }, + { + "entropy": 5.318692922592163, + "epoch": 5.953101361573374, + "grad_norm": 1.2421875, + "learning_rate": 0.00023952802474951418, + "loss": 4.7549, + "mean_token_accuracy": 0.20791540592908858, + "num_tokens": 13048302.0, + "step": 5905 + }, + { + "entropy": 5.40013747215271, + "epoch": 5.958144225920323, + "grad_norm": 1.140625, + "learning_rate": 0.00023913637482579774, + "loss": 4.8031, + "mean_token_accuracy": 0.2007676437497139, + "num_tokens": 13059879.0, + "step": 5910 + }, + { + "entropy": 5.39221043586731, + "epoch": 5.9631870902672715, + "grad_norm": 1.34375, + "learning_rate": 0.00023874483636705563, + "loss": 4.7488, + "mean_token_accuracy": 0.20411685705184937, + "num_tokens": 13071540.0, + "step": 5915 + }, + { + "entropy": 5.358206176757813, + "epoch": 5.968229954614221, + "grad_norm": 1.3046875, + "learning_rate": 0.00023835341059019838, + "loss": 4.7673, + "mean_token_accuracy": 0.2024170696735382, + "num_tokens": 13082981.0, + "step": 5920 + }, + { + "entropy": 5.371860218048096, + "epoch": 5.97327281896117, + "grad_norm": 1.25, + "learning_rate": 0.00023796209871178642, + "loss": 4.7424, + "mean_token_accuracy": 0.20808600932359694, + "num_tokens": 13092669.0, + "step": 5925 + }, + { + "entropy": 5.33985652923584, + "epoch": 5.978315683308119, + "grad_norm": 1.3671875, + "learning_rate": 0.00023757090194802605, + "loss": 4.807, + "mean_token_accuracy": 0.20043543875217437, + "num_tokens": 13104081.0, + "step": 5930 + }, + { + "entropy": 5.336535930633545, + "epoch": 5.983358547655068, + "grad_norm": 1.3984375, + "learning_rate": 0.00023717982151476592, + "loss": 4.8211, + "mean_token_accuracy": 0.20272261053323745, + "num_tokens": 13115068.0, + "step": 5935 + }, + { + "entropy": 5.359402418136597, + "epoch": 5.988401412002017, + "grad_norm": 1.375, + "learning_rate": 0.00023678885862749282, + "loss": 4.7476, + "mean_token_accuracy": 0.2031234934926033, + "num_tokens": 13125930.0, + "step": 5940 + }, + { + "entropy": 5.453249120712281, + "epoch": 5.993444276348966, + "grad_norm": 1.1796875, + "learning_rate": 0.00023639801450132863, + "loss": 4.8517, + "mean_token_accuracy": 0.2007930040359497, + "num_tokens": 13137487.0, + "step": 5945 + }, + { + "entropy": 5.37138524055481, + "epoch": 5.998487140695915, + "grad_norm": 1.4765625, + "learning_rate": 0.00023600729035102585, + "loss": 4.6566, + "mean_token_accuracy": 0.21346824765205383, + "num_tokens": 13147542.0, + "step": 5950 + }, + { + "entropy": 5.359211126963298, + "epoch": 6.0030257186081695, + "grad_norm": 1.296875, + "learning_rate": 0.0002356166873909642, + "loss": 4.6838, + "mean_token_accuracy": 0.2145542949438095, + "num_tokens": 13156473.0, + "step": 5955 + }, + { + "entropy": 5.336161470413208, + "epoch": 6.008068582955119, + "grad_norm": 1.3125, + "learning_rate": 0.00023522620683514645, + "loss": 4.6062, + "mean_token_accuracy": 0.2217238202691078, + "num_tokens": 13167225.0, + "step": 5960 + }, + { + "entropy": 5.365195655822754, + "epoch": 6.013111447302068, + "grad_norm": 1.5703125, + "learning_rate": 0.00023483584989719553, + "loss": 4.5606, + "mean_token_accuracy": 0.220480115711689, + "num_tokens": 13178034.0, + "step": 5965 + }, + { + "entropy": 5.463253307342529, + "epoch": 6.018154311649017, + "grad_norm": 1.28125, + "learning_rate": 0.00023444561779034957, + "loss": 4.7097, + "mean_token_accuracy": 0.21369642317295073, + "num_tokens": 13189610.0, + "step": 5970 + }, + { + "entropy": 5.399715805053711, + "epoch": 6.023197175995966, + "grad_norm": 1.1328125, + "learning_rate": 0.00023405551172745904, + "loss": 4.6941, + "mean_token_accuracy": 0.21796804219484328, + "num_tokens": 13201392.0, + "step": 5975 + }, + { + "entropy": 5.376670169830322, + "epoch": 6.028240040342915, + "grad_norm": 1.21875, + "learning_rate": 0.00023366553292098247, + "loss": 4.6309, + "mean_token_accuracy": 0.22139676958322524, + "num_tokens": 13213125.0, + "step": 5980 + }, + { + "entropy": 5.390435981750488, + "epoch": 6.033282904689864, + "grad_norm": 1.203125, + "learning_rate": 0.0002332756825829832, + "loss": 4.6585, + "mean_token_accuracy": 0.21771981567144394, + "num_tokens": 13224287.0, + "step": 5985 + }, + { + "entropy": 5.368021631240845, + "epoch": 6.038325769036813, + "grad_norm": 1.4140625, + "learning_rate": 0.0002328859619251249, + "loss": 4.6452, + "mean_token_accuracy": 0.2108944609761238, + "num_tokens": 13234035.0, + "step": 5990 + }, + { + "entropy": 5.319368362426758, + "epoch": 6.043368633383762, + "grad_norm": 1.1953125, + "learning_rate": 0.00023249637215866847, + "loss": 4.5883, + "mean_token_accuracy": 0.22029249966144562, + "num_tokens": 13245029.0, + "step": 5995 + }, + { + "entropy": 5.3847626686096195, + "epoch": 6.048411497730711, + "grad_norm": 1.1796875, + "learning_rate": 0.0002321069144944678, + "loss": 4.7143, + "mean_token_accuracy": 0.2131657525897026, + "num_tokens": 13256844.0, + "step": 6000 + }, + { + "epoch": 6.048411497730711, + "eval_entropy": 5.204124319644374, + "eval_loss": 5.655833721160889, + "eval_mean_token_accuracy": 0.15606892571497813, + "eval_num_tokens": 13256844.0, + "eval_runtime": 2.0456, + "eval_samples_per_second": 1534.049, + "eval_steps_per_second": 192.123, + "step": 6000 + }, + { + "entropy": 5.3044281005859375, + "epoch": 6.05345436207766, + "grad_norm": 1.3125, + "learning_rate": 0.00023171759014296639, + "loss": 4.5661, + "mean_token_accuracy": 0.21968138217926025, + "num_tokens": 13269033.0, + "step": 6005 + }, + { + "entropy": 5.373870420455932, + "epoch": 6.058497226424609, + "grad_norm": 1.265625, + "learning_rate": 0.00023132840031419316, + "loss": 4.6246, + "mean_token_accuracy": 0.22420395761728287, + "num_tokens": 13280554.0, + "step": 6010 + }, + { + "entropy": 5.3554305076599125, + "epoch": 6.063540090771558, + "grad_norm": 1.3515625, + "learning_rate": 0.00023093934621775926, + "loss": 4.6383, + "mean_token_accuracy": 0.21762033998966218, + "num_tokens": 13292542.0, + "step": 6015 + }, + { + "entropy": 5.313539266586304, + "epoch": 6.068582955118507, + "grad_norm": 1.359375, + "learning_rate": 0.00023055042906285368, + "loss": 4.5749, + "mean_token_accuracy": 0.2176797240972519, + "num_tokens": 13304254.0, + "step": 6020 + }, + { + "entropy": 5.43445520401001, + "epoch": 6.073625819465456, + "grad_norm": 1.484375, + "learning_rate": 0.0002301616500582398, + "loss": 4.7142, + "mean_token_accuracy": 0.2070741280913353, + "num_tokens": 13313243.0, + "step": 6025 + }, + { + "entropy": 5.311390542984009, + "epoch": 6.078668683812405, + "grad_norm": 1.265625, + "learning_rate": 0.00022977301041225207, + "loss": 4.6181, + "mean_token_accuracy": 0.2188905104994774, + "num_tokens": 13324519.0, + "step": 6030 + }, + { + "entropy": 5.357176828384399, + "epoch": 6.083711548159354, + "grad_norm": 1.4375, + "learning_rate": 0.00022938451133279114, + "loss": 4.6547, + "mean_token_accuracy": 0.21753127127885818, + "num_tokens": 13335734.0, + "step": 6035 + }, + { + "entropy": 5.370665502548218, + "epoch": 6.088754412506304, + "grad_norm": 1.390625, + "learning_rate": 0.00022899615402732133, + "loss": 4.5943, + "mean_token_accuracy": 0.22275642305612564, + "num_tokens": 13347660.0, + "step": 6040 + }, + { + "entropy": 5.350598764419556, + "epoch": 6.093797276853253, + "grad_norm": 1.453125, + "learning_rate": 0.00022860793970286592, + "loss": 4.6277, + "mean_token_accuracy": 0.21988619714975358, + "num_tokens": 13357617.0, + "step": 6045 + }, + { + "entropy": 5.395689201354981, + "epoch": 6.098840141200202, + "grad_norm": 1.328125, + "learning_rate": 0.0002282198695660042, + "loss": 4.5862, + "mean_token_accuracy": 0.2198387399315834, + "num_tokens": 13368768.0, + "step": 6050 + }, + { + "entropy": 5.346694993972778, + "epoch": 6.103883005547151, + "grad_norm": 1.4140625, + "learning_rate": 0.00022783194482286684, + "loss": 4.6453, + "mean_token_accuracy": 0.22039656490087509, + "num_tokens": 13379387.0, + "step": 6055 + }, + { + "entropy": 5.406846761703491, + "epoch": 6.1089258698941, + "grad_norm": 1.390625, + "learning_rate": 0.0002274441666791332, + "loss": 4.7376, + "mean_token_accuracy": 0.21248052269220352, + "num_tokens": 13389672.0, + "step": 6060 + }, + { + "entropy": 5.338963890075684, + "epoch": 6.113968734241049, + "grad_norm": 1.234375, + "learning_rate": 0.00022705653634002648, + "loss": 4.6231, + "mean_token_accuracy": 0.21946075558662415, + "num_tokens": 13401283.0, + "step": 6065 + }, + { + "entropy": 5.415562868118286, + "epoch": 6.119011598587998, + "grad_norm": 1.390625, + "learning_rate": 0.00022666905501031077, + "loss": 4.6379, + "mean_token_accuracy": 0.21679987907409667, + "num_tokens": 13412204.0, + "step": 6070 + }, + { + "entropy": 5.370386219024658, + "epoch": 6.124054462934947, + "grad_norm": 1.5859375, + "learning_rate": 0.0002262817238942869, + "loss": 4.6357, + "mean_token_accuracy": 0.2189243346452713, + "num_tokens": 13421604.0, + "step": 6075 + }, + { + "entropy": 5.350414276123047, + "epoch": 6.1290973272818965, + "grad_norm": 1.3984375, + "learning_rate": 0.0002258945441957892, + "loss": 4.5956, + "mean_token_accuracy": 0.22632325291633607, + "num_tokens": 13433495.0, + "step": 6080 + }, + { + "entropy": 5.244142532348633, + "epoch": 6.134140191628846, + "grad_norm": 1.3515625, + "learning_rate": 0.0002255075171181807, + "loss": 4.5535, + "mean_token_accuracy": 0.22932200133800507, + "num_tokens": 13444238.0, + "step": 6085 + }, + { + "entropy": 5.355984163284302, + "epoch": 6.139183055975794, + "grad_norm": 1.4296875, + "learning_rate": 0.00022512064386435082, + "loss": 4.6282, + "mean_token_accuracy": 0.21517039686441422, + "num_tokens": 13455278.0, + "step": 6090 + }, + { + "entropy": 5.316662979125977, + "epoch": 6.144225920322743, + "grad_norm": 1.5234375, + "learning_rate": 0.0002247339256367103, + "loss": 4.6129, + "mean_token_accuracy": 0.22129908949136734, + "num_tokens": 13465557.0, + "step": 6095 + }, + { + "entropy": 5.310370254516601, + "epoch": 6.149268784669692, + "grad_norm": 1.2890625, + "learning_rate": 0.00022434736363718854, + "loss": 4.6029, + "mean_token_accuracy": 0.21749912351369857, + "num_tokens": 13476016.0, + "step": 6100 + }, + { + "entropy": 5.364461898803711, + "epoch": 6.154311649016641, + "grad_norm": 1.2109375, + "learning_rate": 0.00022396095906722897, + "loss": 4.7031, + "mean_token_accuracy": 0.21485815197229385, + "num_tokens": 13486948.0, + "step": 6105 + }, + { + "entropy": 5.438597822189331, + "epoch": 6.15935451336359, + "grad_norm": 1.1875, + "learning_rate": 0.0002235747131277861, + "loss": 4.7091, + "mean_token_accuracy": 0.21536669433116912, + "num_tokens": 13500019.0, + "step": 6110 + }, + { + "entropy": 5.407887125015259, + "epoch": 6.164397377710539, + "grad_norm": 1.3359375, + "learning_rate": 0.00022318862701932102, + "loss": 4.6515, + "mean_token_accuracy": 0.2189772292971611, + "num_tokens": 13510330.0, + "step": 6115 + }, + { + "entropy": 5.355879449844361, + "epoch": 6.1694402420574885, + "grad_norm": 1.484375, + "learning_rate": 0.00022280270194179836, + "loss": 4.5946, + "mean_token_accuracy": 0.2200791969895363, + "num_tokens": 13519864.0, + "step": 6120 + }, + { + "entropy": 5.361207008361816, + "epoch": 6.174483106404438, + "grad_norm": 1.3046875, + "learning_rate": 0.00022241693909468214, + "loss": 4.6766, + "mean_token_accuracy": 0.2130996748805046, + "num_tokens": 13531244.0, + "step": 6125 + }, + { + "entropy": 5.339847183227539, + "epoch": 6.179525970751387, + "grad_norm": 1.4765625, + "learning_rate": 0.00022203133967693217, + "loss": 4.7151, + "mean_token_accuracy": 0.20595722049474716, + "num_tokens": 13542947.0, + "step": 6130 + }, + { + "entropy": 5.30449914932251, + "epoch": 6.184568835098336, + "grad_norm": 1.359375, + "learning_rate": 0.00022164590488700042, + "loss": 4.5985, + "mean_token_accuracy": 0.21331556439399718, + "num_tokens": 13553218.0, + "step": 6135 + }, + { + "entropy": 5.317038726806641, + "epoch": 6.189611699445285, + "grad_norm": 1.453125, + "learning_rate": 0.00022126063592282696, + "loss": 4.5688, + "mean_token_accuracy": 0.22169348001480102, + "num_tokens": 13562894.0, + "step": 6140 + }, + { + "entropy": 5.316820907592773, + "epoch": 6.194654563792234, + "grad_norm": 1.3984375, + "learning_rate": 0.00022087553398183684, + "loss": 4.6617, + "mean_token_accuracy": 0.21474820077419282, + "num_tokens": 13574135.0, + "step": 6145 + }, + { + "entropy": 5.402669668197632, + "epoch": 6.199697428139183, + "grad_norm": 1.328125, + "learning_rate": 0.00022049060026093555, + "loss": 4.6639, + "mean_token_accuracy": 0.21896152347326278, + "num_tokens": 13585070.0, + "step": 6150 + }, + { + "entropy": 5.411625623703003, + "epoch": 6.204740292486132, + "grad_norm": 1.2265625, + "learning_rate": 0.00022010583595650617, + "loss": 4.6703, + "mean_token_accuracy": 0.21271731555461884, + "num_tokens": 13596732.0, + "step": 6155 + }, + { + "entropy": 5.348358297348023, + "epoch": 6.2097831568330815, + "grad_norm": 1.65625, + "learning_rate": 0.00021972124226440483, + "loss": 4.537, + "mean_token_accuracy": 0.22894130051136016, + "num_tokens": 13607080.0, + "step": 6160 + }, + { + "entropy": 5.266700696945191, + "epoch": 6.214826021180031, + "grad_norm": 1.4375, + "learning_rate": 0.00021933682037995772, + "loss": 4.547, + "mean_token_accuracy": 0.22299013733863832, + "num_tokens": 13617666.0, + "step": 6165 + }, + { + "entropy": 5.3108926773071286, + "epoch": 6.21986888552698, + "grad_norm": 1.3671875, + "learning_rate": 0.00021895257149795694, + "loss": 4.6349, + "mean_token_accuracy": 0.21472382843494414, + "num_tokens": 13628772.0, + "step": 6170 + }, + { + "entropy": 5.349781131744384, + "epoch": 6.224911749873929, + "grad_norm": 1.2890625, + "learning_rate": 0.0002185684968126569, + "loss": 4.6771, + "mean_token_accuracy": 0.21623874008655547, + "num_tokens": 13638895.0, + "step": 6175 + }, + { + "entropy": 5.330606746673584, + "epoch": 6.229954614220877, + "grad_norm": 1.3359375, + "learning_rate": 0.0002181845975177703, + "loss": 4.638, + "mean_token_accuracy": 0.23032449632883073, + "num_tokens": 13649485.0, + "step": 6180 + }, + { + "entropy": 5.3922313213348385, + "epoch": 6.234997478567826, + "grad_norm": 1.359375, + "learning_rate": 0.00021780087480646548, + "loss": 4.7619, + "mean_token_accuracy": 0.20294700264930726, + "num_tokens": 13661645.0, + "step": 6185 + }, + { + "entropy": 5.394072961807251, + "epoch": 6.240040342914775, + "grad_norm": 1.3515625, + "learning_rate": 0.0002174173298713611, + "loss": 4.6889, + "mean_token_accuracy": 0.22105761617422104, + "num_tokens": 13672835.0, + "step": 6190 + }, + { + "entropy": 5.372888088226318, + "epoch": 6.245083207261724, + "grad_norm": 1.2578125, + "learning_rate": 0.00021703396390452385, + "loss": 4.6908, + "mean_token_accuracy": 0.2088285729289055, + "num_tokens": 13684456.0, + "step": 6195 + }, + { + "entropy": 5.354840993881226, + "epoch": 6.2501260716086735, + "grad_norm": 1.3203125, + "learning_rate": 0.0002166507780974639, + "loss": 4.6093, + "mean_token_accuracy": 0.22428787052631377, + "num_tokens": 13694919.0, + "step": 6200 + }, + { + "entropy": 5.369553947448731, + "epoch": 6.255168935955623, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162677736411317, + "loss": 4.6122, + "mean_token_accuracy": 0.22572187781333924, + "num_tokens": 13704872.0, + "step": 6205 + }, + { + "entropy": 5.3212902545928955, + "epoch": 6.260211800302572, + "grad_norm": 1.25, + "learning_rate": 0.00021588495172591377, + "loss": 4.6228, + "mean_token_accuracy": 0.22438545972108842, + "num_tokens": 13715937.0, + "step": 6210 + }, + { + "entropy": 5.334011268615723, + "epoch": 6.265254664649521, + "grad_norm": 1.2890625, + "learning_rate": 0.00021550231354162957, + "loss": 4.584, + "mean_token_accuracy": 0.2193437248468399, + "num_tokens": 13726785.0, + "step": 6215 + }, + { + "entropy": 5.341703176498413, + "epoch": 6.27029752899647, + "grad_norm": 1.203125, + "learning_rate": 0.00021511986027752733, + "loss": 4.6651, + "mean_token_accuracy": 0.21637360155582427, + "num_tokens": 13738302.0, + "step": 6220 + }, + { + "entropy": 5.392094945907592, + "epoch": 6.275340393343419, + "grad_norm": 1.4765625, + "learning_rate": 0.0002147375931222807, + "loss": 4.6329, + "mean_token_accuracy": 0.21986114233732224, + "num_tokens": 13748602.0, + "step": 6225 + }, + { + "entropy": 5.350520086288452, + "epoch": 6.280383257690368, + "grad_norm": 1.5234375, + "learning_rate": 0.00021435551326398478, + "loss": 4.6456, + "mean_token_accuracy": 0.21305105686187745, + "num_tokens": 13758861.0, + "step": 6230 + }, + { + "entropy": 5.300534296035766, + "epoch": 6.285426122037317, + "grad_norm": 1.296875, + "learning_rate": 0.00021397362189015263, + "loss": 4.677, + "mean_token_accuracy": 0.21868122965097428, + "num_tokens": 13769402.0, + "step": 6235 + }, + { + "entropy": 5.353175067901612, + "epoch": 6.290468986384266, + "grad_norm": 1.2890625, + "learning_rate": 0.00021359192018771127, + "loss": 4.6571, + "mean_token_accuracy": 0.21360769867897034, + "num_tokens": 13779899.0, + "step": 6240 + }, + { + "entropy": 5.359490823745728, + "epoch": 6.2955118507312156, + "grad_norm": 1.3359375, + "learning_rate": 0.00021321040934299852, + "loss": 4.6481, + "mean_token_accuracy": 0.21949803233146667, + "num_tokens": 13790417.0, + "step": 6245 + }, + { + "entropy": 5.351253271102905, + "epoch": 6.300554715078165, + "grad_norm": 1.25, + "learning_rate": 0.00021282909054175903, + "loss": 4.7298, + "mean_token_accuracy": 0.21616025418043136, + "num_tokens": 13801699.0, + "step": 6250 + }, + { + "entropy": 5.4068121910095215, + "epoch": 6.305597579425114, + "grad_norm": 1.328125, + "learning_rate": 0.0002124479649691402, + "loss": 4.7392, + "mean_token_accuracy": 0.20651510655879973, + "num_tokens": 13813364.0, + "step": 6255 + }, + { + "entropy": 5.340871429443359, + "epoch": 6.310640443772063, + "grad_norm": 1.1953125, + "learning_rate": 0.00021206703380968923, + "loss": 4.6, + "mean_token_accuracy": 0.2187330424785614, + "num_tokens": 13824506.0, + "step": 6260 + }, + { + "entropy": 5.336052083969117, + "epoch": 6.315683308119011, + "grad_norm": 1.1015625, + "learning_rate": 0.00021168629824734887, + "loss": 4.6607, + "mean_token_accuracy": 0.21441861540079116, + "num_tokens": 13836659.0, + "step": 6265 + }, + { + "entropy": 5.348361825942993, + "epoch": 6.32072617246596, + "grad_norm": 1.296875, + "learning_rate": 0.00021130575946545416, + "loss": 4.624, + "mean_token_accuracy": 0.2183840185403824, + "num_tokens": 13848710.0, + "step": 6270 + }, + { + "entropy": 5.3680816173553465, + "epoch": 6.325769036812909, + "grad_norm": 1.3203125, + "learning_rate": 0.00021092541864672825, + "loss": 4.6752, + "mean_token_accuracy": 0.21302510052919388, + "num_tokens": 13860848.0, + "step": 6275 + }, + { + "entropy": 5.298371648788452, + "epoch": 6.3308119011598585, + "grad_norm": 1.3671875, + "learning_rate": 0.00021054527697327935, + "loss": 4.6038, + "mean_token_accuracy": 0.2222062274813652, + "num_tokens": 13871765.0, + "step": 6280 + }, + { + "entropy": 5.34125771522522, + "epoch": 6.335854765506808, + "grad_norm": 1.25, + "learning_rate": 0.00021016533562659634, + "loss": 4.6614, + "mean_token_accuracy": 0.2144114688038826, + "num_tokens": 13883140.0, + "step": 6285 + }, + { + "entropy": 5.373456430435181, + "epoch": 6.340897629853757, + "grad_norm": 1.3671875, + "learning_rate": 0.00020978559578754586, + "loss": 4.5851, + "mean_token_accuracy": 0.21404719054698945, + "num_tokens": 13894054.0, + "step": 6290 + }, + { + "entropy": 5.344057226181031, + "epoch": 6.345940494200706, + "grad_norm": 1.234375, + "learning_rate": 0.000209406058636368, + "loss": 4.6554, + "mean_token_accuracy": 0.22404983639717102, + "num_tokens": 13906268.0, + "step": 6295 + }, + { + "entropy": 5.376866865158081, + "epoch": 6.350983358547655, + "grad_norm": 1.3203125, + "learning_rate": 0.00020902672535267315, + "loss": 4.6842, + "mean_token_accuracy": 0.21459552645683289, + "num_tokens": 13918450.0, + "step": 6300 + }, + { + "entropy": 5.4287337303161625, + "epoch": 6.356026222894604, + "grad_norm": 1.4296875, + "learning_rate": 0.00020864759711543762, + "loss": 4.7571, + "mean_token_accuracy": 0.20267379730939866, + "num_tokens": 13930725.0, + "step": 6305 + }, + { + "entropy": 5.338146209716797, + "epoch": 6.361069087241553, + "grad_norm": 1.421875, + "learning_rate": 0.0002082686751030009, + "loss": 4.6797, + "mean_token_accuracy": 0.21307668685913086, + "num_tokens": 13942566.0, + "step": 6310 + }, + { + "entropy": 5.3399018287658695, + "epoch": 6.366111951588502, + "grad_norm": 1.453125, + "learning_rate": 0.0002078899604930613, + "loss": 4.6377, + "mean_token_accuracy": 0.2226533278822899, + "num_tokens": 13952909.0, + "step": 6315 + }, + { + "entropy": 5.390378141403199, + "epoch": 6.371154815935451, + "grad_norm": 1.328125, + "learning_rate": 0.00020751145446267267, + "loss": 4.6753, + "mean_token_accuracy": 0.20825050324201583, + "num_tokens": 13963726.0, + "step": 6320 + }, + { + "entropy": 5.388576364517212, + "epoch": 6.3761976802824005, + "grad_norm": 1.2578125, + "learning_rate": 0.0002071331581882403, + "loss": 4.6808, + "mean_token_accuracy": 0.2166823759675026, + "num_tokens": 13974795.0, + "step": 6325 + }, + { + "entropy": 5.278568983078003, + "epoch": 6.38124054462935, + "grad_norm": 1.3125, + "learning_rate": 0.00020675507284551793, + "loss": 4.5754, + "mean_token_accuracy": 0.22193012982606888, + "num_tokens": 13985801.0, + "step": 6330 + }, + { + "entropy": 5.304547882080078, + "epoch": 6.386283408976299, + "grad_norm": 1.359375, + "learning_rate": 0.00020637719960960333, + "loss": 4.5997, + "mean_token_accuracy": 0.22491419911384583, + "num_tokens": 13996559.0, + "step": 6335 + }, + { + "entropy": 5.331219720840454, + "epoch": 6.391326273323248, + "grad_norm": 1.4453125, + "learning_rate": 0.00020599953965493535, + "loss": 4.6439, + "mean_token_accuracy": 0.22134149819612503, + "num_tokens": 14006937.0, + "step": 6340 + }, + { + "entropy": 5.240631008148194, + "epoch": 6.396369137670197, + "grad_norm": 1.3671875, + "learning_rate": 0.00020562209415528982, + "loss": 4.5258, + "mean_token_accuracy": 0.2256957098841667, + "num_tokens": 14018304.0, + "step": 6345 + }, + { + "entropy": 5.362255668640136, + "epoch": 6.401412002017146, + "grad_norm": 1.3125, + "learning_rate": 0.00020524486428377605, + "loss": 4.6826, + "mean_token_accuracy": 0.2162995755672455, + "num_tokens": 14030515.0, + "step": 6350 + }, + { + "entropy": 5.346472644805909, + "epoch": 6.406454866364095, + "grad_norm": 1.4375, + "learning_rate": 0.0002048678512128332, + "loss": 4.6712, + "mean_token_accuracy": 0.2177198573946953, + "num_tokens": 14043174.0, + "step": 6355 + }, + { + "entropy": 5.35426893234253, + "epoch": 6.411497730711044, + "grad_norm": 1.46875, + "learning_rate": 0.00020449105611422658, + "loss": 4.5765, + "mean_token_accuracy": 0.21691970378160477, + "num_tokens": 14053450.0, + "step": 6360 + }, + { + "entropy": 5.310212850570679, + "epoch": 6.416540595057993, + "grad_norm": 1.4453125, + "learning_rate": 0.00020411448015904415, + "loss": 4.6163, + "mean_token_accuracy": 0.21984127759933472, + "num_tokens": 14063672.0, + "step": 6365 + }, + { + "entropy": 5.348818016052246, + "epoch": 6.421583459404942, + "grad_norm": 1.34375, + "learning_rate": 0.00020373812451769248, + "loss": 4.6434, + "mean_token_accuracy": 0.22358427196741104, + "num_tokens": 14074372.0, + "step": 6370 + }, + { + "entropy": 5.390470409393311, + "epoch": 6.426626323751891, + "grad_norm": 1.3515625, + "learning_rate": 0.00020336199035989372, + "loss": 4.6654, + "mean_token_accuracy": 0.21343498528003693, + "num_tokens": 14086006.0, + "step": 6375 + }, + { + "entropy": 5.342592477798462, + "epoch": 6.43166918809884, + "grad_norm": 1.453125, + "learning_rate": 0.0002029860788546814, + "loss": 4.6187, + "mean_token_accuracy": 0.2203216001391411, + "num_tokens": 14096694.0, + "step": 6380 + }, + { + "entropy": 5.367334270477295, + "epoch": 6.436712052445789, + "grad_norm": 1.375, + "learning_rate": 0.00020261039117039725, + "loss": 4.6466, + "mean_token_accuracy": 0.21076540052890777, + "num_tokens": 14106734.0, + "step": 6385 + }, + { + "entropy": 5.361822891235351, + "epoch": 6.441754916792738, + "grad_norm": 1.4765625, + "learning_rate": 0.00020223492847468722, + "loss": 4.6802, + "mean_token_accuracy": 0.21798644959926605, + "num_tokens": 14117488.0, + "step": 6390 + }, + { + "entropy": 5.377425670623779, + "epoch": 6.446797781139687, + "grad_norm": 1.5, + "learning_rate": 0.0002018596919344981, + "loss": 4.6585, + "mean_token_accuracy": 0.22138290703296662, + "num_tokens": 14127661.0, + "step": 6395 + }, + { + "entropy": 5.357834720611573, + "epoch": 6.451840645486636, + "grad_norm": 1.2890625, + "learning_rate": 0.00020148468271607352, + "loss": 4.6532, + "mean_token_accuracy": 0.2156420975923538, + "num_tokens": 14140062.0, + "step": 6400 + }, + { + "entropy": 5.3001574039459225, + "epoch": 6.4568835098335855, + "grad_norm": 1.203125, + "learning_rate": 0.00020110990198495105, + "loss": 4.6498, + "mean_token_accuracy": 0.20930435806512832, + "num_tokens": 14151694.0, + "step": 6405 + }, + { + "entropy": 5.346147918701172, + "epoch": 6.461926374180535, + "grad_norm": 1.390625, + "learning_rate": 0.0002007353509059575, + "loss": 4.766, + "mean_token_accuracy": 0.20646919906139374, + "num_tokens": 14162783.0, + "step": 6410 + }, + { + "entropy": 5.345625734329223, + "epoch": 6.466969238527484, + "grad_norm": 1.453125, + "learning_rate": 0.00020036103064320664, + "loss": 4.6514, + "mean_token_accuracy": 0.2207430496811867, + "num_tokens": 14173630.0, + "step": 6415 + }, + { + "entropy": 5.373542451858521, + "epoch": 6.472012102874433, + "grad_norm": 1.3046875, + "learning_rate": 0.00019998694236009423, + "loss": 4.6738, + "mean_token_accuracy": 0.2150516092777252, + "num_tokens": 14185172.0, + "step": 6420 + }, + { + "entropy": 5.416106700897217, + "epoch": 6.477054967221382, + "grad_norm": 1.40625, + "learning_rate": 0.0001996130872192955, + "loss": 4.7052, + "mean_token_accuracy": 0.21251223981380463, + "num_tokens": 14197059.0, + "step": 6425 + }, + { + "entropy": 5.371108531951904, + "epoch": 6.482097831568331, + "grad_norm": 1.4921875, + "learning_rate": 0.00019923946638276052, + "loss": 4.6129, + "mean_token_accuracy": 0.21653929054737092, + "num_tokens": 14206589.0, + "step": 6430 + }, + { + "entropy": 5.263812732696533, + "epoch": 6.48714069591528, + "grad_norm": 1.3046875, + "learning_rate": 0.0001988660810117118, + "loss": 4.6039, + "mean_token_accuracy": 0.2187914878129959, + "num_tokens": 14218225.0, + "step": 6435 + }, + { + "entropy": 5.336437034606933, + "epoch": 6.492183560262229, + "grad_norm": 1.3359375, + "learning_rate": 0.0001984929322666395, + "loss": 4.6692, + "mean_token_accuracy": 0.2155090868473053, + "num_tokens": 14229758.0, + "step": 6440 + }, + { + "entropy": 5.284608507156372, + "epoch": 6.4972264246091775, + "grad_norm": 1.375, + "learning_rate": 0.00019812002130729857, + "loss": 4.537, + "mean_token_accuracy": 0.22633844316005708, + "num_tokens": 14240549.0, + "step": 6445 + }, + { + "entropy": 5.347523021697998, + "epoch": 6.502269288956127, + "grad_norm": 1.4140625, + "learning_rate": 0.00019774734929270483, + "loss": 4.5896, + "mean_token_accuracy": 0.21854414492845536, + "num_tokens": 14250542.0, + "step": 6450 + }, + { + "entropy": 5.252294301986694, + "epoch": 6.507312153303076, + "grad_norm": 1.4765625, + "learning_rate": 0.00019737491738113167, + "loss": 4.5954, + "mean_token_accuracy": 0.2224308580160141, + "num_tokens": 14260354.0, + "step": 6455 + }, + { + "entropy": 5.374626922607422, + "epoch": 6.512355017650025, + "grad_norm": 1.4375, + "learning_rate": 0.00019700272673010588, + "loss": 4.7269, + "mean_token_accuracy": 0.21083271354436875, + "num_tokens": 14271929.0, + "step": 6460 + }, + { + "entropy": 5.343776369094849, + "epoch": 6.517397881996974, + "grad_norm": 1.2109375, + "learning_rate": 0.0001966307784964046, + "loss": 4.6224, + "mean_token_accuracy": 0.2144081175327301, + "num_tokens": 14283249.0, + "step": 6465 + }, + { + "entropy": 5.373244571685791, + "epoch": 6.522440746343923, + "grad_norm": 1.265625, + "learning_rate": 0.00019625907383605162, + "loss": 4.714, + "mean_token_accuracy": 0.21002006083726882, + "num_tokens": 14293633.0, + "step": 6470 + }, + { + "entropy": 5.422092294692993, + "epoch": 6.527483610690872, + "grad_norm": 1.5234375, + "learning_rate": 0.00019588761390431354, + "loss": 4.7038, + "mean_token_accuracy": 0.21525713056325912, + "num_tokens": 14304219.0, + "step": 6475 + }, + { + "entropy": 5.313680267333984, + "epoch": 6.532526475037821, + "grad_norm": 1.3125, + "learning_rate": 0.00019551639985569642, + "loss": 4.6033, + "mean_token_accuracy": 0.22535481452941894, + "num_tokens": 14315355.0, + "step": 6480 + }, + { + "entropy": 5.42285795211792, + "epoch": 6.5375693393847705, + "grad_norm": 1.265625, + "learning_rate": 0.00019514543284394203, + "loss": 4.7739, + "mean_token_accuracy": 0.20810849070549012, + "num_tokens": 14327007.0, + "step": 6485 + }, + { + "entropy": 5.29453330039978, + "epoch": 6.54261220373172, + "grad_norm": 1.3984375, + "learning_rate": 0.00019477471402202452, + "loss": 4.6022, + "mean_token_accuracy": 0.21870456039905548, + "num_tokens": 14337981.0, + "step": 6490 + }, + { + "entropy": 5.371618175506592, + "epoch": 6.547655068078669, + "grad_norm": 1.234375, + "learning_rate": 0.00019440424454214645, + "loss": 4.7186, + "mean_token_accuracy": 0.2161049574613571, + "num_tokens": 14350727.0, + "step": 6495 + }, + { + "entropy": 5.449799823760986, + "epoch": 6.552697932425618, + "grad_norm": 1.3125, + "learning_rate": 0.00019403402555573547, + "loss": 4.783, + "mean_token_accuracy": 0.20688835978507997, + "num_tokens": 14362898.0, + "step": 6500 + }, + { + "entropy": 5.393431043624878, + "epoch": 6.557740796772567, + "grad_norm": 1.53125, + "learning_rate": 0.00019366405821344074, + "loss": 4.6567, + "mean_token_accuracy": 0.21516457498073577, + "num_tokens": 14373780.0, + "step": 6505 + }, + { + "entropy": 5.304720497131347, + "epoch": 6.562783661119516, + "grad_norm": 1.203125, + "learning_rate": 0.0001932943436651295, + "loss": 4.6348, + "mean_token_accuracy": 0.21173483729362488, + "num_tokens": 14384637.0, + "step": 6510 + }, + { + "entropy": 5.371453905105591, + "epoch": 6.567826525466465, + "grad_norm": 1.25, + "learning_rate": 0.00019292488305988276, + "loss": 4.6329, + "mean_token_accuracy": 0.2233852192759514, + "num_tokens": 14396524.0, + "step": 6515 + }, + { + "entropy": 5.377205085754395, + "epoch": 6.572869389813414, + "grad_norm": 1.46875, + "learning_rate": 0.0001925556775459929, + "loss": 4.6168, + "mean_token_accuracy": 0.21723289787769318, + "num_tokens": 14406098.0, + "step": 6520 + }, + { + "entropy": 5.355901622772217, + "epoch": 6.577912254160363, + "grad_norm": 1.4375, + "learning_rate": 0.000192186728270959, + "loss": 4.6645, + "mean_token_accuracy": 0.20990855246782303, + "num_tokens": 14417324.0, + "step": 6525 + }, + { + "entropy": 5.381169271469116, + "epoch": 6.5829551185073125, + "grad_norm": 1.4765625, + "learning_rate": 0.000191818036381484, + "loss": 4.6631, + "mean_token_accuracy": 0.21148277074098587, + "num_tokens": 14427776.0, + "step": 6530 + }, + { + "entropy": 5.30445294380188, + "epoch": 6.587997982854262, + "grad_norm": 1.515625, + "learning_rate": 0.00019144960302347065, + "loss": 4.6303, + "mean_token_accuracy": 0.2213727429509163, + "num_tokens": 14438730.0, + "step": 6535 + }, + { + "entropy": 5.361790180206299, + "epoch": 6.593040847201211, + "grad_norm": 1.4375, + "learning_rate": 0.00019108142934201854, + "loss": 4.7039, + "mean_token_accuracy": 0.20856965482234954, + "num_tokens": 14451704.0, + "step": 6540 + }, + { + "entropy": 5.284628009796142, + "epoch": 6.598083711548159, + "grad_norm": 1.5546875, + "learning_rate": 0.00019071351648141977, + "loss": 4.6602, + "mean_token_accuracy": 0.21091823130846024, + "num_tokens": 14461921.0, + "step": 6545 + }, + { + "entropy": 5.34711799621582, + "epoch": 6.603126575895108, + "grad_norm": 1.375, + "learning_rate": 0.00019034586558515625, + "loss": 4.6493, + "mean_token_accuracy": 0.21133901923894882, + "num_tokens": 14472912.0, + "step": 6550 + }, + { + "entropy": 5.374591112136841, + "epoch": 6.608169440242057, + "grad_norm": 1.28125, + "learning_rate": 0.00018997847779589518, + "loss": 4.6743, + "mean_token_accuracy": 0.2123213902115822, + "num_tokens": 14484363.0, + "step": 6555 + }, + { + "entropy": 5.3053964138031, + "epoch": 6.613212304589006, + "grad_norm": 1.3359375, + "learning_rate": 0.00018961135425548642, + "loss": 4.5649, + "mean_token_accuracy": 0.22226291745901108, + "num_tokens": 14494793.0, + "step": 6560 + }, + { + "entropy": 5.34075403213501, + "epoch": 6.6182551689359554, + "grad_norm": 1.296875, + "learning_rate": 0.00018924449610495836, + "loss": 4.6868, + "mean_token_accuracy": 0.22028399556875228, + "num_tokens": 14506824.0, + "step": 6565 + }, + { + "entropy": 5.331904077529908, + "epoch": 6.623298033282905, + "grad_norm": 1.40625, + "learning_rate": 0.00018887790448451458, + "loss": 4.6502, + "mean_token_accuracy": 0.22305871844291686, + "num_tokens": 14518178.0, + "step": 6570 + }, + { + "entropy": 5.2953855991363525, + "epoch": 6.628340897629854, + "grad_norm": 1.2265625, + "learning_rate": 0.0001885115805335304, + "loss": 4.5705, + "mean_token_accuracy": 0.22343843579292297, + "num_tokens": 14529497.0, + "step": 6575 + }, + { + "entropy": 5.366054821014404, + "epoch": 6.633383761976803, + "grad_norm": 1.3515625, + "learning_rate": 0.00018814552539054896, + "loss": 4.7029, + "mean_token_accuracy": 0.21585332602262497, + "num_tokens": 14540992.0, + "step": 6580 + }, + { + "entropy": 5.3471770763397215, + "epoch": 6.638426626323752, + "grad_norm": 1.2265625, + "learning_rate": 0.00018777974019327826, + "loss": 4.6521, + "mean_token_accuracy": 0.21429850459098815, + "num_tokens": 14552078.0, + "step": 6585 + }, + { + "entropy": 5.375272750854492, + "epoch": 6.643469490670701, + "grad_norm": 1.3203125, + "learning_rate": 0.00018741422607858693, + "loss": 4.7274, + "mean_token_accuracy": 0.20748427808284758, + "num_tokens": 14563949.0, + "step": 6590 + }, + { + "entropy": 5.312350845336914, + "epoch": 6.64851235501765, + "grad_norm": 1.6484375, + "learning_rate": 0.00018704898418250143, + "loss": 4.648, + "mean_token_accuracy": 0.22181300967931747, + "num_tokens": 14574981.0, + "step": 6595 + }, + { + "entropy": 5.275086116790772, + "epoch": 6.653555219364599, + "grad_norm": 1.296875, + "learning_rate": 0.00018668401564020192, + "loss": 4.6285, + "mean_token_accuracy": 0.21577722877264022, + "num_tokens": 14585318.0, + "step": 6600 + }, + { + "entropy": 5.312783718109131, + "epoch": 6.658598083711548, + "grad_norm": 1.2734375, + "learning_rate": 0.00018631932158601905, + "loss": 4.6547, + "mean_token_accuracy": 0.21883989572525026, + "num_tokens": 14597265.0, + "step": 6605 + }, + { + "entropy": 5.365548801422119, + "epoch": 6.6636409480584975, + "grad_norm": 1.390625, + "learning_rate": 0.00018595490315343038, + "loss": 4.7025, + "mean_token_accuracy": 0.2111709460616112, + "num_tokens": 14606943.0, + "step": 6610 + }, + { + "entropy": 5.311564970016479, + "epoch": 6.668683812405447, + "grad_norm": 1.359375, + "learning_rate": 0.00018559076147505688, + "loss": 4.6501, + "mean_token_accuracy": 0.21835977733135223, + "num_tokens": 14617756.0, + "step": 6615 + }, + { + "entropy": 5.312956142425537, + "epoch": 6.673726676752396, + "grad_norm": 1.3515625, + "learning_rate": 0.00018522689768265911, + "loss": 4.6371, + "mean_token_accuracy": 0.21607528179883956, + "num_tokens": 14628418.0, + "step": 6620 + }, + { + "entropy": 5.357146310806274, + "epoch": 6.678769541099344, + "grad_norm": 1.28125, + "learning_rate": 0.00018486331290713427, + "loss": 4.6334, + "mean_token_accuracy": 0.2163918673992157, + "num_tokens": 14640489.0, + "step": 6625 + }, + { + "entropy": 5.316901111602784, + "epoch": 6.683812405446293, + "grad_norm": 1.3046875, + "learning_rate": 0.00018450000827851217, + "loss": 4.6337, + "mean_token_accuracy": 0.21358822882175446, + "num_tokens": 14650933.0, + "step": 6630 + }, + { + "entropy": 5.3136420249938965, + "epoch": 6.688855269793242, + "grad_norm": 1.3515625, + "learning_rate": 0.000184136984925952, + "loss": 4.5944, + "mean_token_accuracy": 0.21613629311323165, + "num_tokens": 14661288.0, + "step": 6635 + }, + { + "entropy": 5.3822578430175785, + "epoch": 6.693898134140191, + "grad_norm": 1.296875, + "learning_rate": 0.0001837742439777386, + "loss": 4.7177, + "mean_token_accuracy": 0.20961424112319946, + "num_tokens": 14673088.0, + "step": 6640 + }, + { + "entropy": 5.314380884170532, + "epoch": 6.69894099848714, + "grad_norm": 1.421875, + "learning_rate": 0.00018341178656127948, + "loss": 4.6481, + "mean_token_accuracy": 0.21658485382795334, + "num_tokens": 14683761.0, + "step": 6645 + }, + { + "entropy": 5.401474285125732, + "epoch": 6.7039838628340895, + "grad_norm": 1.2890625, + "learning_rate": 0.00018304961380310038, + "loss": 4.6846, + "mean_token_accuracy": 0.21234268546104432, + "num_tokens": 14696567.0, + "step": 6650 + }, + { + "entropy": 5.388226461410523, + "epoch": 6.709026727181039, + "grad_norm": 1.3671875, + "learning_rate": 0.00018268772682884273, + "loss": 4.7323, + "mean_token_accuracy": 0.211135932803154, + "num_tokens": 14708358.0, + "step": 6655 + }, + { + "entropy": 5.300543594360351, + "epoch": 6.714069591527988, + "grad_norm": 1.6328125, + "learning_rate": 0.00018232612676325944, + "loss": 4.6364, + "mean_token_accuracy": 0.2189777597784996, + "num_tokens": 14717987.0, + "step": 6660 + }, + { + "entropy": 5.3876307010650635, + "epoch": 6.719112455874937, + "grad_norm": 1.453125, + "learning_rate": 0.0001819648147302121, + "loss": 4.5936, + "mean_token_accuracy": 0.22396490573883057, + "num_tokens": 14728536.0, + "step": 6665 + }, + { + "entropy": 5.348317575454712, + "epoch": 6.724155320221886, + "grad_norm": 1.2265625, + "learning_rate": 0.00018160379185266662, + "loss": 4.6208, + "mean_token_accuracy": 0.21860901415348052, + "num_tokens": 14740570.0, + "step": 6670 + }, + { + "entropy": 5.383673810958863, + "epoch": 6.729198184568835, + "grad_norm": 1.328125, + "learning_rate": 0.00018124305925269058, + "loss": 4.7548, + "mean_token_accuracy": 0.20642643868923188, + "num_tokens": 14752174.0, + "step": 6675 + }, + { + "entropy": 5.331220912933349, + "epoch": 6.734241048915784, + "grad_norm": 1.3515625, + "learning_rate": 0.00018088261805144918, + "loss": 4.6178, + "mean_token_accuracy": 0.22881786674261093, + "num_tokens": 14762891.0, + "step": 6680 + }, + { + "entropy": 5.331395864486694, + "epoch": 6.739283913262733, + "grad_norm": 1.390625, + "learning_rate": 0.00018052246936920192, + "loss": 4.6388, + "mean_token_accuracy": 0.22367337346076965, + "num_tokens": 14773397.0, + "step": 6685 + }, + { + "entropy": 5.355164384841919, + "epoch": 6.7443267776096825, + "grad_norm": 1.328125, + "learning_rate": 0.00018016261432529928, + "loss": 4.5991, + "mean_token_accuracy": 0.22476366609334947, + "num_tokens": 14785865.0, + "step": 6690 + }, + { + "entropy": 5.361586427688598, + "epoch": 6.749369641956632, + "grad_norm": 1.46875, + "learning_rate": 0.00017980305403817893, + "loss": 4.6679, + "mean_token_accuracy": 0.21399696469306945, + "num_tokens": 14796732.0, + "step": 6695 + }, + { + "entropy": 5.345164823532104, + "epoch": 6.754412506303581, + "grad_norm": 1.53125, + "learning_rate": 0.00017944378962536279, + "loss": 4.6832, + "mean_token_accuracy": 0.21574979424476623, + "num_tokens": 14807356.0, + "step": 6700 + }, + { + "entropy": 5.30222806930542, + "epoch": 6.75945537065053, + "grad_norm": 1.40625, + "learning_rate": 0.00017908482220345268, + "loss": 4.5828, + "mean_token_accuracy": 0.22636306285858154, + "num_tokens": 14819201.0, + "step": 6705 + }, + { + "entropy": 5.290832901000977, + "epoch": 6.764498234997479, + "grad_norm": 1.34375, + "learning_rate": 0.00017872615288812787, + "loss": 4.6808, + "mean_token_accuracy": 0.2133016660809517, + "num_tokens": 14829996.0, + "step": 6710 + }, + { + "entropy": 5.3180242538452145, + "epoch": 6.769541099344428, + "grad_norm": 1.3125, + "learning_rate": 0.00017836778279414057, + "loss": 4.6594, + "mean_token_accuracy": 0.21321381479501725, + "num_tokens": 14840994.0, + "step": 6715 + }, + { + "entropy": 5.304784536361694, + "epoch": 6.774583963691377, + "grad_norm": 1.34375, + "learning_rate": 0.00017800971303531354, + "loss": 4.6422, + "mean_token_accuracy": 0.21603736281394958, + "num_tokens": 14851643.0, + "step": 6720 + }, + { + "entropy": 5.348932075500488, + "epoch": 6.779626828038325, + "grad_norm": 1.4375, + "learning_rate": 0.0001776519447245356, + "loss": 4.6607, + "mean_token_accuracy": 0.21616029739379883, + "num_tokens": 14862017.0, + "step": 6725 + }, + { + "entropy": 5.279548406600952, + "epoch": 6.7846696923852745, + "grad_norm": 1.4140625, + "learning_rate": 0.00017729447897375927, + "loss": 4.6092, + "mean_token_accuracy": 0.21939080953598022, + "num_tokens": 14872754.0, + "step": 6730 + }, + { + "entropy": 5.295262670516967, + "epoch": 6.789712556732224, + "grad_norm": 1.34375, + "learning_rate": 0.00017693731689399605, + "loss": 4.6379, + "mean_token_accuracy": 0.21290521919727326, + "num_tokens": 14883841.0, + "step": 6735 + }, + { + "entropy": 5.287308168411255, + "epoch": 6.794755421079173, + "grad_norm": 1.484375, + "learning_rate": 0.00017658045959531416, + "loss": 4.6197, + "mean_token_accuracy": 0.21733115315437318, + "num_tokens": 14894317.0, + "step": 6740 + }, + { + "entropy": 5.381797361373901, + "epoch": 6.799798285426122, + "grad_norm": 1.265625, + "learning_rate": 0.00017622390818683404, + "loss": 4.6537, + "mean_token_accuracy": 0.2198000058531761, + "num_tokens": 14905636.0, + "step": 6745 + }, + { + "entropy": 5.338959789276123, + "epoch": 6.804841149773071, + "grad_norm": 1.53125, + "learning_rate": 0.00017586766377672593, + "loss": 4.6023, + "mean_token_accuracy": 0.2251695841550827, + "num_tokens": 14916335.0, + "step": 6750 + }, + { + "entropy": 5.322839021682739, + "epoch": 6.80988401412002, + "grad_norm": 1.5, + "learning_rate": 0.00017551172747220552, + "loss": 4.6548, + "mean_token_accuracy": 0.21657199263572693, + "num_tokens": 14926697.0, + "step": 6755 + }, + { + "entropy": 5.309933185577393, + "epoch": 6.814926878466969, + "grad_norm": 1.4375, + "learning_rate": 0.00017515610037953112, + "loss": 4.6997, + "mean_token_accuracy": 0.20491381734609604, + "num_tokens": 14938821.0, + "step": 6760 + }, + { + "entropy": 5.345283365249633, + "epoch": 6.819969742813918, + "grad_norm": 1.3203125, + "learning_rate": 0.0001748007836039999, + "loss": 4.6749, + "mean_token_accuracy": 0.21463018506765366, + "num_tokens": 14950671.0, + "step": 6765 + }, + { + "entropy": 5.400843763351441, + "epoch": 6.825012607160867, + "grad_norm": 1.359375, + "learning_rate": 0.00017444577824994475, + "loss": 4.6414, + "mean_token_accuracy": 0.21676749587059022, + "num_tokens": 14961579.0, + "step": 6770 + }, + { + "entropy": 5.295256042480469, + "epoch": 6.8300554715078166, + "grad_norm": 1.515625, + "learning_rate": 0.0001740910854207303, + "loss": 4.6115, + "mean_token_accuracy": 0.2133998990058899, + "num_tokens": 14971747.0, + "step": 6775 + }, + { + "entropy": 5.283566284179687, + "epoch": 6.835098335854766, + "grad_norm": 1.34375, + "learning_rate": 0.00017373670621875016, + "loss": 4.6622, + "mean_token_accuracy": 0.2162500098347664, + "num_tokens": 14982575.0, + "step": 6780 + }, + { + "entropy": 5.351551914215088, + "epoch": 6.840141200201715, + "grad_norm": 1.2890625, + "learning_rate": 0.000173382641745423, + "loss": 4.6925, + "mean_token_accuracy": 0.21079863756895065, + "num_tokens": 14995301.0, + "step": 6785 + }, + { + "entropy": 5.3515832901000975, + "epoch": 6.845184064548664, + "grad_norm": 1.2734375, + "learning_rate": 0.0001730288931011893, + "loss": 4.662, + "mean_token_accuracy": 0.21524953246116638, + "num_tokens": 15007033.0, + "step": 6790 + }, + { + "entropy": 5.327978610992432, + "epoch": 6.850226928895613, + "grad_norm": 1.4765625, + "learning_rate": 0.00017267546138550823, + "loss": 4.6446, + "mean_token_accuracy": 0.22024314105510712, + "num_tokens": 15018431.0, + "step": 6795 + }, + { + "entropy": 5.368574905395508, + "epoch": 6.855269793242562, + "grad_norm": 1.2109375, + "learning_rate": 0.00017232234769685358, + "loss": 4.6645, + "mean_token_accuracy": 0.21696822643280028, + "num_tokens": 15030066.0, + "step": 6800 + }, + { + "entropy": 5.328826427459717, + "epoch": 6.86031265758951, + "grad_norm": 1.609375, + "learning_rate": 0.00017196955313271086, + "loss": 4.6339, + "mean_token_accuracy": 0.2093048632144928, + "num_tokens": 15039888.0, + "step": 6805 + }, + { + "entropy": 5.269174385070801, + "epoch": 6.8653555219364595, + "grad_norm": 1.2578125, + "learning_rate": 0.00017161707878957368, + "loss": 4.6103, + "mean_token_accuracy": 0.22062758058309556, + "num_tokens": 15051550.0, + "step": 6810 + }, + { + "entropy": 5.370995664596558, + "epoch": 6.870398386283409, + "grad_norm": 1.1640625, + "learning_rate": 0.00017126492576294053, + "loss": 4.6331, + "mean_token_accuracy": 0.21404555141925813, + "num_tokens": 15063026.0, + "step": 6815 + }, + { + "entropy": 5.36248083114624, + "epoch": 6.875441250630358, + "grad_norm": 1.2734375, + "learning_rate": 0.0001709130951473109, + "loss": 4.6577, + "mean_token_accuracy": 0.21238561123609542, + "num_tokens": 15073797.0, + "step": 6820 + }, + { + "entropy": 5.317653179168701, + "epoch": 6.880484114977307, + "grad_norm": 1.3125, + "learning_rate": 0.00017056158803618277, + "loss": 4.6379, + "mean_token_accuracy": 0.22134413421154023, + "num_tokens": 15085481.0, + "step": 6825 + }, + { + "entropy": 5.251279306411743, + "epoch": 6.885526979324256, + "grad_norm": 1.3359375, + "learning_rate": 0.00017021040552204814, + "loss": 4.6052, + "mean_token_accuracy": 0.21521301120519637, + "num_tokens": 15096366.0, + "step": 6830 + }, + { + "entropy": 5.305837774276734, + "epoch": 6.890569843671205, + "grad_norm": 1.34375, + "learning_rate": 0.00016985954869639048, + "loss": 4.7055, + "mean_token_accuracy": 0.20472221821546555, + "num_tokens": 15107804.0, + "step": 6835 + }, + { + "entropy": 5.300729036331177, + "epoch": 6.895612708018154, + "grad_norm": 1.3359375, + "learning_rate": 0.00016950901864968076, + "loss": 4.6014, + "mean_token_accuracy": 0.22149758338928222, + "num_tokens": 15118737.0, + "step": 6840 + }, + { + "entropy": 5.338110113143921, + "epoch": 6.900655572365103, + "grad_norm": 1.40625, + "learning_rate": 0.00016915881647137465, + "loss": 4.7255, + "mean_token_accuracy": 0.21334645450115203, + "num_tokens": 15129645.0, + "step": 6845 + }, + { + "entropy": 5.3771895408630375, + "epoch": 6.905698436712052, + "grad_norm": 1.421875, + "learning_rate": 0.0001688089432499084, + "loss": 4.7056, + "mean_token_accuracy": 0.21627845615148544, + "num_tokens": 15141100.0, + "step": 6850 + }, + { + "entropy": 5.298923635482788, + "epoch": 6.9107413010590015, + "grad_norm": 1.40625, + "learning_rate": 0.00016845940007269617, + "loss": 4.5858, + "mean_token_accuracy": 0.2191134586930275, + "num_tokens": 15151637.0, + "step": 6855 + }, + { + "entropy": 5.3075010776519775, + "epoch": 6.915784165405951, + "grad_norm": 1.328125, + "learning_rate": 0.00016811018802612615, + "loss": 4.6485, + "mean_token_accuracy": 0.2203893929719925, + "num_tokens": 15162126.0, + "step": 6860 + }, + { + "entropy": 5.326016569137574, + "epoch": 6.9208270297529, + "grad_norm": 1.3125, + "learning_rate": 0.00016776130819555758, + "loss": 4.6232, + "mean_token_accuracy": 0.21959089487791061, + "num_tokens": 15172942.0, + "step": 6865 + }, + { + "entropy": 5.340472412109375, + "epoch": 6.925869894099849, + "grad_norm": 1.3984375, + "learning_rate": 0.00016741276166531684, + "loss": 4.6429, + "mean_token_accuracy": 0.2193739205598831, + "num_tokens": 15183534.0, + "step": 6870 + }, + { + "entropy": 5.341355037689209, + "epoch": 6.930912758446798, + "grad_norm": 1.3203125, + "learning_rate": 0.00016706454951869468, + "loss": 4.6648, + "mean_token_accuracy": 0.21327273845672606, + "num_tokens": 15193995.0, + "step": 6875 + }, + { + "entropy": 5.3681694030761715, + "epoch": 6.935955622793747, + "grad_norm": 1.2890625, + "learning_rate": 0.00016671667283794245, + "loss": 4.6921, + "mean_token_accuracy": 0.2116631254553795, + "num_tokens": 15204598.0, + "step": 6880 + }, + { + "entropy": 5.338287830352783, + "epoch": 6.940998487140696, + "grad_norm": 1.328125, + "learning_rate": 0.00016636913270426888, + "loss": 4.6352, + "mean_token_accuracy": 0.2109651193022728, + "num_tokens": 15216933.0, + "step": 6885 + }, + { + "entropy": 5.397768640518189, + "epoch": 6.946041351487645, + "grad_norm": 1.2890625, + "learning_rate": 0.00016602193019783673, + "loss": 4.7155, + "mean_token_accuracy": 0.21376636028289794, + "num_tokens": 15228227.0, + "step": 6890 + }, + { + "entropy": 5.360055685043335, + "epoch": 6.9510842158345945, + "grad_norm": 1.3984375, + "learning_rate": 0.00016567506639775947, + "loss": 4.695, + "mean_token_accuracy": 0.216583451628685, + "num_tokens": 15237701.0, + "step": 6895 + }, + { + "entropy": 5.345563650131226, + "epoch": 6.956127080181544, + "grad_norm": 1.3984375, + "learning_rate": 0.00016532854238209783, + "loss": 4.6815, + "mean_token_accuracy": 0.21556762009859085, + "num_tokens": 15248114.0, + "step": 6900 + }, + { + "entropy": 5.3354325771331785, + "epoch": 6.961169944528492, + "grad_norm": 1.25, + "learning_rate": 0.0001649823592278563, + "loss": 4.6663, + "mean_token_accuracy": 0.21585539281368255, + "num_tokens": 15259246.0, + "step": 6905 + }, + { + "entropy": 5.355136299133301, + "epoch": 6.966212808875441, + "grad_norm": 1.453125, + "learning_rate": 0.00016463651801098023, + "loss": 4.6543, + "mean_token_accuracy": 0.2154486283659935, + "num_tokens": 15270229.0, + "step": 6910 + }, + { + "entropy": 5.363860416412353, + "epoch": 6.97125567322239, + "grad_norm": 1.578125, + "learning_rate": 0.00016429101980635193, + "loss": 4.7132, + "mean_token_accuracy": 0.21458267122507096, + "num_tokens": 15280708.0, + "step": 6915 + }, + { + "entropy": 5.350880479812622, + "epoch": 6.976298537569339, + "grad_norm": 1.5703125, + "learning_rate": 0.00016394586568778795, + "loss": 4.6604, + "mean_token_accuracy": 0.21188926249742507, + "num_tokens": 15291010.0, + "step": 6920 + }, + { + "entropy": 5.327713346481323, + "epoch": 6.981341401916288, + "grad_norm": 1.4296875, + "learning_rate": 0.00016360105672803515, + "loss": 4.5811, + "mean_token_accuracy": 0.22991840690374374, + "num_tokens": 15301133.0, + "step": 6925 + }, + { + "entropy": 5.287805032730103, + "epoch": 6.986384266263237, + "grad_norm": 1.34375, + "learning_rate": 0.00016325659399876792, + "loss": 4.6535, + "mean_token_accuracy": 0.2193632423877716, + "num_tokens": 15311223.0, + "step": 6930 + }, + { + "entropy": 5.307404851913452, + "epoch": 6.9914271306101865, + "grad_norm": 1.3984375, + "learning_rate": 0.00016291247857058412, + "loss": 4.6804, + "mean_token_accuracy": 0.21644218415021896, + "num_tokens": 15321912.0, + "step": 6935 + }, + { + "entropy": 5.278178405761719, + "epoch": 6.996469994957136, + "grad_norm": 1.421875, + "learning_rate": 0.00016256871151300268, + "loss": 4.5682, + "mean_token_accuracy": 0.2209543615579605, + "num_tokens": 15333600.0, + "step": 6940 + }, + { + "entropy": 5.316867828369141, + "epoch": 7.00100857286939, + "grad_norm": 1.3359375, + "learning_rate": 0.00016222529389445928, + "loss": 4.6461, + "mean_token_accuracy": 0.21365364227030012, + "num_tokens": 15343920.0, + "step": 6945 + }, + { + "entropy": 5.351253032684326, + "epoch": 7.006051437216339, + "grad_norm": 1.3046875, + "learning_rate": 0.00016188222678230395, + "loss": 4.5276, + "mean_token_accuracy": 0.22726660519838332, + "num_tokens": 15355324.0, + "step": 6950 + }, + { + "entropy": 5.355388975143432, + "epoch": 7.011094301563288, + "grad_norm": 1.203125, + "learning_rate": 0.0001615395112427972, + "loss": 4.5708, + "mean_token_accuracy": 0.23247056305408478, + "num_tokens": 15366170.0, + "step": 6955 + }, + { + "entropy": 5.303373527526856, + "epoch": 7.016137165910237, + "grad_norm": 1.5078125, + "learning_rate": 0.0001611971483411069, + "loss": 4.4604, + "mean_token_accuracy": 0.24327995181083678, + "num_tokens": 15377384.0, + "step": 6960 + }, + { + "entropy": 5.312825536727905, + "epoch": 7.021180030257186, + "grad_norm": 1.4765625, + "learning_rate": 0.00016085513914130463, + "loss": 4.5574, + "mean_token_accuracy": 0.22749511003494263, + "num_tokens": 15388992.0, + "step": 6965 + }, + { + "entropy": 5.253768873214722, + "epoch": 7.026222894604135, + "grad_norm": 1.4921875, + "learning_rate": 0.00016051348470636306, + "loss": 4.4789, + "mean_token_accuracy": 0.2333448961377144, + "num_tokens": 15399757.0, + "step": 6970 + }, + { + "entropy": 5.297413730621338, + "epoch": 7.0312657589510845, + "grad_norm": 1.3359375, + "learning_rate": 0.00016017218609815195, + "loss": 4.5127, + "mean_token_accuracy": 0.23326511830091476, + "num_tokens": 15410379.0, + "step": 6975 + }, + { + "entropy": 5.246276712417602, + "epoch": 7.036308623298034, + "grad_norm": 1.1484375, + "learning_rate": 0.0001598312443774353, + "loss": 4.4284, + "mean_token_accuracy": 0.23199106454849244, + "num_tokens": 15422098.0, + "step": 6980 + }, + { + "entropy": 5.332926225662232, + "epoch": 7.041351487644983, + "grad_norm": 1.3828125, + "learning_rate": 0.00015949066060386784, + "loss": 4.5364, + "mean_token_accuracy": 0.2324401006102562, + "num_tokens": 15433161.0, + "step": 6985 + }, + { + "entropy": 5.303371477127075, + "epoch": 7.046394351991931, + "grad_norm": 1.3515625, + "learning_rate": 0.00015915043583599183, + "loss": 4.4988, + "mean_token_accuracy": 0.23691647499799728, + "num_tokens": 15443243.0, + "step": 6990 + }, + { + "entropy": 5.325288534164429, + "epoch": 7.05143721633888, + "grad_norm": 1.3828125, + "learning_rate": 0.0001588105711312336, + "loss": 4.6331, + "mean_token_accuracy": 0.21829306483268737, + "num_tokens": 15454997.0, + "step": 6995 + }, + { + "entropy": 5.292270135879517, + "epoch": 7.056480080685829, + "grad_norm": 1.4375, + "learning_rate": 0.00015847106754590055, + "loss": 4.5377, + "mean_token_accuracy": 0.23259725272655488, + "num_tokens": 15466596.0, + "step": 7000 + }, + { + "epoch": 7.056480080685829, + "eval_entropy": 5.190140663515824, + "eval_loss": 5.664591312408447, + "eval_mean_token_accuracy": 0.15645785036357002, + "eval_num_tokens": 15466596.0, + "eval_runtime": 2.0299, + "eval_samples_per_second": 1545.873, + "eval_steps_per_second": 193.604, + "step": 7000 + }, + { + "entropy": 5.342967939376831, + "epoch": 7.061522945032778, + "grad_norm": 1.4453125, + "learning_rate": 0.0001581319261351777, + "loss": 4.561, + "mean_token_accuracy": 0.22747746855020523, + "num_tokens": 15477924.0, + "step": 7005 + }, + { + "entropy": 5.277507972717285, + "epoch": 7.0665658093797274, + "grad_norm": 1.46875, + "learning_rate": 0.00015779314795312426, + "loss": 4.5062, + "mean_token_accuracy": 0.22869454622268676, + "num_tokens": 15489253.0, + "step": 7010 + }, + { + "entropy": 5.325477600097656, + "epoch": 7.071608673726677, + "grad_norm": 1.5234375, + "learning_rate": 0.0001574547340526707, + "loss": 4.5886, + "mean_token_accuracy": 0.22567261308431624, + "num_tokens": 15500809.0, + "step": 7015 + }, + { + "entropy": 5.329904270172119, + "epoch": 7.076651538073626, + "grad_norm": 1.421875, + "learning_rate": 0.00015711668548561527, + "loss": 4.5441, + "mean_token_accuracy": 0.22513023912906646, + "num_tokens": 15512707.0, + "step": 7020 + }, + { + "entropy": 5.257874011993408, + "epoch": 7.081694402420575, + "grad_norm": 1.4453125, + "learning_rate": 0.00015677900330262075, + "loss": 4.5061, + "mean_token_accuracy": 0.23131189197301866, + "num_tokens": 15523887.0, + "step": 7025 + }, + { + "entropy": 5.302902889251709, + "epoch": 7.086737266767524, + "grad_norm": 1.390625, + "learning_rate": 0.00015644168855321098, + "loss": 4.5117, + "mean_token_accuracy": 0.23442438691854478, + "num_tokens": 15534773.0, + "step": 7030 + }, + { + "entropy": 5.334398889541626, + "epoch": 7.091780131114473, + "grad_norm": 1.34375, + "learning_rate": 0.00015610474228576818, + "loss": 4.5741, + "mean_token_accuracy": 0.22616139501333238, + "num_tokens": 15546701.0, + "step": 7035 + }, + { + "entropy": 5.364245986938476, + "epoch": 7.096822995461422, + "grad_norm": 1.28125, + "learning_rate": 0.00015576816554752892, + "loss": 4.5713, + "mean_token_accuracy": 0.22624965906143188, + "num_tokens": 15557830.0, + "step": 7040 + }, + { + "entropy": 5.3050925731658936, + "epoch": 7.101865859808371, + "grad_norm": 1.5078125, + "learning_rate": 0.0001554319593845816, + "loss": 4.4696, + "mean_token_accuracy": 0.2433767944574356, + "num_tokens": 15568790.0, + "step": 7045 + }, + { + "entropy": 5.388065910339355, + "epoch": 7.10690872415532, + "grad_norm": 1.3671875, + "learning_rate": 0.0001550961248418627, + "loss": 4.5351, + "mean_token_accuracy": 0.22904874980449677, + "num_tokens": 15580152.0, + "step": 7050 + }, + { + "entropy": 5.330150413513183, + "epoch": 7.1119515885022695, + "grad_norm": 1.4296875, + "learning_rate": 0.00015476066296315376, + "loss": 4.5454, + "mean_token_accuracy": 0.22565665543079377, + "num_tokens": 15591233.0, + "step": 7055 + }, + { + "entropy": 5.365304231643677, + "epoch": 7.116994452849219, + "grad_norm": 1.5078125, + "learning_rate": 0.000154425574791078, + "loss": 4.6134, + "mean_token_accuracy": 0.2224419578909874, + "num_tokens": 15603093.0, + "step": 7060 + }, + { + "entropy": 5.2755434036254885, + "epoch": 7.122037317196168, + "grad_norm": 1.546875, + "learning_rate": 0.00015409086136709723, + "loss": 4.473, + "mean_token_accuracy": 0.23818657994270326, + "num_tokens": 15613187.0, + "step": 7065 + }, + { + "entropy": 5.3314450740814205, + "epoch": 7.127080181543117, + "grad_norm": 1.1875, + "learning_rate": 0.0001537565237315084, + "loss": 4.5909, + "mean_token_accuracy": 0.22641514837741852, + "num_tokens": 15625860.0, + "step": 7070 + }, + { + "entropy": 5.379950332641601, + "epoch": 7.132123045890066, + "grad_norm": 1.34375, + "learning_rate": 0.00015342256292344065, + "loss": 4.6315, + "mean_token_accuracy": 0.22722586542367934, + "num_tokens": 15636888.0, + "step": 7075 + }, + { + "entropy": 5.362259817123413, + "epoch": 7.137165910237014, + "grad_norm": 1.3984375, + "learning_rate": 0.00015308897998085187, + "loss": 4.6299, + "mean_token_accuracy": 0.21784261912107467, + "num_tokens": 15648122.0, + "step": 7080 + }, + { + "entropy": 5.341370296478272, + "epoch": 7.142208774583963, + "grad_norm": 1.2734375, + "learning_rate": 0.00015275577594052564, + "loss": 4.5495, + "mean_token_accuracy": 0.22538087218999864, + "num_tokens": 15658347.0, + "step": 7085 + }, + { + "entropy": 5.277120542526245, + "epoch": 7.147251638930912, + "grad_norm": 1.3515625, + "learning_rate": 0.0001524229518380676, + "loss": 4.5149, + "mean_token_accuracy": 0.2264695256948471, + "num_tokens": 15670357.0, + "step": 7090 + }, + { + "entropy": 5.357531547546387, + "epoch": 7.1522945032778615, + "grad_norm": 1.4609375, + "learning_rate": 0.0001520905087079029, + "loss": 4.4907, + "mean_token_accuracy": 0.23583969920873643, + "num_tokens": 15681734.0, + "step": 7095 + }, + { + "entropy": 5.27922739982605, + "epoch": 7.157337367624811, + "grad_norm": 1.4296875, + "learning_rate": 0.00015175844758327239, + "loss": 4.5768, + "mean_token_accuracy": 0.22651268988847734, + "num_tokens": 15693772.0, + "step": 7100 + }, + { + "entropy": 5.349179124832153, + "epoch": 7.16238023197176, + "grad_norm": 1.2734375, + "learning_rate": 0.00015142676949622973, + "loss": 4.6037, + "mean_token_accuracy": 0.22167278826236725, + "num_tokens": 15705390.0, + "step": 7105 + }, + { + "entropy": 5.2857749462127686, + "epoch": 7.167423096318709, + "grad_norm": 1.3125, + "learning_rate": 0.00015109547547763802, + "loss": 4.5362, + "mean_token_accuracy": 0.2254762217402458, + "num_tokens": 15716453.0, + "step": 7110 + }, + { + "entropy": 5.279051494598389, + "epoch": 7.172465960665658, + "grad_norm": 1.421875, + "learning_rate": 0.00015076456655716675, + "loss": 4.5616, + "mean_token_accuracy": 0.23126013129949569, + "num_tokens": 15727218.0, + "step": 7115 + }, + { + "entropy": 5.36016845703125, + "epoch": 7.177508825012607, + "grad_norm": 1.3046875, + "learning_rate": 0.00015043404376328856, + "loss": 4.5603, + "mean_token_accuracy": 0.2260824516415596, + "num_tokens": 15738209.0, + "step": 7120 + }, + { + "entropy": 5.287611770629883, + "epoch": 7.182551689359556, + "grad_norm": 1.2421875, + "learning_rate": 0.00015010390812327578, + "loss": 4.5078, + "mean_token_accuracy": 0.23224884122610093, + "num_tokens": 15750297.0, + "step": 7125 + }, + { + "entropy": 5.279722595214844, + "epoch": 7.187594553706505, + "grad_norm": 1.390625, + "learning_rate": 0.0001497741606631977, + "loss": 4.5777, + "mean_token_accuracy": 0.22035890072584152, + "num_tokens": 15760479.0, + "step": 7130 + }, + { + "entropy": 5.286903429031372, + "epoch": 7.1926374180534545, + "grad_norm": 1.3984375, + "learning_rate": 0.0001494448024079169, + "loss": 4.5897, + "mean_token_accuracy": 0.22308809012174607, + "num_tokens": 15772804.0, + "step": 7135 + }, + { + "entropy": 5.246288061141968, + "epoch": 7.197680282400404, + "grad_norm": 1.4453125, + "learning_rate": 0.00014911583438108656, + "loss": 4.4311, + "mean_token_accuracy": 0.23591995984315872, + "num_tokens": 15783256.0, + "step": 7140 + }, + { + "entropy": 5.315304136276245, + "epoch": 7.202723146747353, + "grad_norm": 1.4609375, + "learning_rate": 0.00014878725760514682, + "loss": 4.5964, + "mean_token_accuracy": 0.22201442420482637, + "num_tokens": 15794873.0, + "step": 7145 + }, + { + "entropy": 5.353905725479126, + "epoch": 7.207766011094302, + "grad_norm": 1.5078125, + "learning_rate": 0.00014845907310132202, + "loss": 4.5949, + "mean_token_accuracy": 0.22602345198392867, + "num_tokens": 15804788.0, + "step": 7150 + }, + { + "entropy": 5.315305709838867, + "epoch": 7.212808875441251, + "grad_norm": 1.3203125, + "learning_rate": 0.00014813128188961695, + "loss": 4.5692, + "mean_token_accuracy": 0.22759516537189484, + "num_tokens": 15817087.0, + "step": 7155 + }, + { + "entropy": 5.347730875015259, + "epoch": 7.2178517397882, + "grad_norm": 1.46875, + "learning_rate": 0.00014780388498881447, + "loss": 4.5319, + "mean_token_accuracy": 0.2360930174589157, + "num_tokens": 15826887.0, + "step": 7160 + }, + { + "entropy": 5.312480878829956, + "epoch": 7.222894604135149, + "grad_norm": 1.3125, + "learning_rate": 0.0001474768834164715, + "loss": 4.5549, + "mean_token_accuracy": 0.22395195215940475, + "num_tokens": 15838290.0, + "step": 7165 + }, + { + "entropy": 5.272480010986328, + "epoch": 7.227937468482098, + "grad_norm": 1.46875, + "learning_rate": 0.00014715027818891656, + "loss": 4.5369, + "mean_token_accuracy": 0.23386336117982864, + "num_tokens": 15849444.0, + "step": 7170 + }, + { + "entropy": 5.312888288497925, + "epoch": 7.2329803328290465, + "grad_norm": 1.3046875, + "learning_rate": 0.0001468240703212463, + "loss": 4.5893, + "mean_token_accuracy": 0.223324516415596, + "num_tokens": 15859215.0, + "step": 7175 + }, + { + "entropy": 5.252601432800293, + "epoch": 7.238023197175996, + "grad_norm": 1.359375, + "learning_rate": 0.00014649826082732226, + "loss": 4.5536, + "mean_token_accuracy": 0.22863994240760804, + "num_tokens": 15870372.0, + "step": 7180 + }, + { + "entropy": 5.309851455688476, + "epoch": 7.243066061522945, + "grad_norm": 1.546875, + "learning_rate": 0.00014617285071976777, + "loss": 4.5128, + "mean_token_accuracy": 0.22644595354795455, + "num_tokens": 15881414.0, + "step": 7185 + }, + { + "entropy": 5.307170295715332, + "epoch": 7.248108925869894, + "grad_norm": 1.453125, + "learning_rate": 0.00014584784100996512, + "loss": 4.5361, + "mean_token_accuracy": 0.22832292467355728, + "num_tokens": 15892800.0, + "step": 7190 + }, + { + "entropy": 5.350831174850464, + "epoch": 7.253151790216843, + "grad_norm": 1.4765625, + "learning_rate": 0.0001455232327080518, + "loss": 4.5612, + "mean_token_accuracy": 0.21920505464076995, + "num_tokens": 15903266.0, + "step": 7195 + }, + { + "entropy": 5.274076128005982, + "epoch": 7.258194654563792, + "grad_norm": 1.3515625, + "learning_rate": 0.00014519902682291795, + "loss": 4.4898, + "mean_token_accuracy": 0.23219892382621765, + "num_tokens": 15914738.0, + "step": 7200 + }, + { + "entropy": 5.287580966949463, + "epoch": 7.263237518910741, + "grad_norm": 1.4453125, + "learning_rate": 0.00014487522436220304, + "loss": 4.5182, + "mean_token_accuracy": 0.22857421189546584, + "num_tokens": 15925170.0, + "step": 7205 + }, + { + "entropy": 5.299157762527466, + "epoch": 7.26828038325769, + "grad_norm": 1.328125, + "learning_rate": 0.00014455182633229258, + "loss": 4.4885, + "mean_token_accuracy": 0.23408662229776384, + "num_tokens": 15936434.0, + "step": 7210 + }, + { + "entropy": 5.311158227920532, + "epoch": 7.273323247604639, + "grad_norm": 1.3671875, + "learning_rate": 0.00014422883373831497, + "loss": 4.539, + "mean_token_accuracy": 0.23000027239322662, + "num_tokens": 15946667.0, + "step": 7215 + }, + { + "entropy": 5.390425395965576, + "epoch": 7.278366111951589, + "grad_norm": 1.359375, + "learning_rate": 0.00014390624758413872, + "loss": 4.6007, + "mean_token_accuracy": 0.2192816913127899, + "num_tokens": 15956601.0, + "step": 7220 + }, + { + "entropy": 5.301521587371826, + "epoch": 7.283408976298538, + "grad_norm": 1.390625, + "learning_rate": 0.00014358406887236914, + "loss": 4.579, + "mean_token_accuracy": 0.2187001883983612, + "num_tokens": 15967542.0, + "step": 7225 + }, + { + "entropy": 5.268623161315918, + "epoch": 7.288451840645487, + "grad_norm": 1.4140625, + "learning_rate": 0.00014326229860434488, + "loss": 4.4961, + "mean_token_accuracy": 0.22896168380975723, + "num_tokens": 15978375.0, + "step": 7230 + }, + { + "entropy": 5.289550113677978, + "epoch": 7.293494704992436, + "grad_norm": 1.5625, + "learning_rate": 0.0001429409377801355, + "loss": 4.531, + "mean_token_accuracy": 0.2279664546251297, + "num_tokens": 15989269.0, + "step": 7235 + }, + { + "entropy": 5.319182300567627, + "epoch": 7.298537569339385, + "grad_norm": 1.5234375, + "learning_rate": 0.00014261998739853785, + "loss": 4.549, + "mean_token_accuracy": 0.2318236082792282, + "num_tokens": 16000622.0, + "step": 7240 + }, + { + "entropy": 5.339053392410278, + "epoch": 7.303580433686334, + "grad_norm": 1.3984375, + "learning_rate": 0.00014229944845707315, + "loss": 4.5473, + "mean_token_accuracy": 0.23991765826940536, + "num_tokens": 16011586.0, + "step": 7245 + }, + { + "entropy": 5.357959747314453, + "epoch": 7.308623298033283, + "grad_norm": 1.3828125, + "learning_rate": 0.00014197932195198374, + "loss": 4.5526, + "mean_token_accuracy": 0.23095664381980896, + "num_tokens": 16023519.0, + "step": 7250 + }, + { + "entropy": 5.268877792358398, + "epoch": 7.313666162380232, + "grad_norm": 1.46875, + "learning_rate": 0.00014165960887823026, + "loss": 4.4598, + "mean_token_accuracy": 0.2319287598133087, + "num_tokens": 16033627.0, + "step": 7255 + }, + { + "entropy": 5.270218992233277, + "epoch": 7.318709026727181, + "grad_norm": 1.5, + "learning_rate": 0.00014134031022948817, + "loss": 4.4941, + "mean_token_accuracy": 0.23133867979049683, + "num_tokens": 16044222.0, + "step": 7260 + }, + { + "entropy": 5.282980012893677, + "epoch": 7.32375189107413, + "grad_norm": 1.3125, + "learning_rate": 0.00014102142699814525, + "loss": 4.5425, + "mean_token_accuracy": 0.22663716226816177, + "num_tokens": 16055336.0, + "step": 7265 + }, + { + "entropy": 5.3312098503112795, + "epoch": 7.328794755421079, + "grad_norm": 1.3671875, + "learning_rate": 0.00014070296017529773, + "loss": 4.5296, + "mean_token_accuracy": 0.2233452707529068, + "num_tokens": 16067046.0, + "step": 7270 + }, + { + "entropy": 5.318199300765992, + "epoch": 7.333837619768028, + "grad_norm": 1.3984375, + "learning_rate": 0.00014038491075074805, + "loss": 4.5451, + "mean_token_accuracy": 0.2297145575284958, + "num_tokens": 16078412.0, + "step": 7275 + }, + { + "entropy": 5.329317903518676, + "epoch": 7.338880484114977, + "grad_norm": 1.6484375, + "learning_rate": 0.00014006727971300098, + "loss": 4.6181, + "mean_token_accuracy": 0.21633000373840333, + "num_tokens": 16089273.0, + "step": 7280 + }, + { + "entropy": 5.32567777633667, + "epoch": 7.343923348461926, + "grad_norm": 1.5390625, + "learning_rate": 0.00013975006804926128, + "loss": 4.5694, + "mean_token_accuracy": 0.22719766348600387, + "num_tokens": 16099002.0, + "step": 7285 + }, + { + "entropy": 5.303778648376465, + "epoch": 7.348966212808875, + "grad_norm": 1.484375, + "learning_rate": 0.00013943327674542988, + "loss": 4.5559, + "mean_token_accuracy": 0.22620025277137756, + "num_tokens": 16108988.0, + "step": 7290 + }, + { + "entropy": 5.269321155548096, + "epoch": 7.354009077155824, + "grad_norm": 1.40625, + "learning_rate": 0.00013911690678610164, + "loss": 4.5147, + "mean_token_accuracy": 0.2249543249607086, + "num_tokens": 16119968.0, + "step": 7295 + }, + { + "entropy": 5.324913406372071, + "epoch": 7.3590519415027735, + "grad_norm": 1.3828125, + "learning_rate": 0.00013880095915456167, + "loss": 4.5005, + "mean_token_accuracy": 0.23076407313346864, + "num_tokens": 16131588.0, + "step": 7300 + }, + { + "entropy": 5.328034496307373, + "epoch": 7.364094805849723, + "grad_norm": 1.453125, + "learning_rate": 0.00013848543483278256, + "loss": 4.536, + "mean_token_accuracy": 0.22857568114995958, + "num_tokens": 16141063.0, + "step": 7305 + }, + { + "entropy": 5.312693452835083, + "epoch": 7.369137670196672, + "grad_norm": 1.6484375, + "learning_rate": 0.000138170334801421, + "loss": 4.5626, + "mean_token_accuracy": 0.22825343757867814, + "num_tokens": 16151773.0, + "step": 7310 + }, + { + "entropy": 5.252763462066651, + "epoch": 7.374180534543621, + "grad_norm": 1.46875, + "learning_rate": 0.00013785566003981538, + "loss": 4.5353, + "mean_token_accuracy": 0.2315294176340103, + "num_tokens": 16162863.0, + "step": 7315 + }, + { + "entropy": 5.309763813018799, + "epoch": 7.37922339889057, + "grad_norm": 1.5078125, + "learning_rate": 0.0001375414115259819, + "loss": 4.558, + "mean_token_accuracy": 0.22765425443649293, + "num_tokens": 16173352.0, + "step": 7320 + }, + { + "entropy": 5.369609785079956, + "epoch": 7.384266263237519, + "grad_norm": 1.421875, + "learning_rate": 0.0001372275902366122, + "loss": 4.6159, + "mean_token_accuracy": 0.2245473712682724, + "num_tokens": 16185129.0, + "step": 7325 + }, + { + "entropy": 5.418182373046875, + "epoch": 7.389309127584468, + "grad_norm": 1.5390625, + "learning_rate": 0.00013691419714707026, + "loss": 4.5983, + "mean_token_accuracy": 0.22159814536571504, + "num_tokens": 16195735.0, + "step": 7330 + }, + { + "entropy": 5.375027513504028, + "epoch": 7.394351991931417, + "grad_norm": 1.53125, + "learning_rate": 0.00013660123323138893, + "loss": 4.6608, + "mean_token_accuracy": 0.2176942616701126, + "num_tokens": 16206435.0, + "step": 7335 + }, + { + "entropy": 5.28547511100769, + "epoch": 7.3993948562783665, + "grad_norm": 1.4609375, + "learning_rate": 0.00013628869946226738, + "loss": 4.5917, + "mean_token_accuracy": 0.22077101618051528, + "num_tokens": 16217810.0, + "step": 7340 + }, + { + "entropy": 5.324528503417969, + "epoch": 7.404437720625316, + "grad_norm": 1.453125, + "learning_rate": 0.0001359765968110676, + "loss": 4.5941, + "mean_token_accuracy": 0.2223574101924896, + "num_tokens": 16228411.0, + "step": 7345 + }, + { + "entropy": 5.295448637008667, + "epoch": 7.409480584972265, + "grad_norm": 1.1875, + "learning_rate": 0.00013566492624781198, + "loss": 4.5932, + "mean_token_accuracy": 0.21643946915864945, + "num_tokens": 16240748.0, + "step": 7350 + }, + { + "entropy": 5.334490442276001, + "epoch": 7.414523449319213, + "grad_norm": 1.3671875, + "learning_rate": 0.0001353536887411797, + "loss": 4.5299, + "mean_token_accuracy": 0.2350569635629654, + "num_tokens": 16251103.0, + "step": 7355 + }, + { + "entropy": 5.278464126586914, + "epoch": 7.419566313666162, + "grad_norm": 1.703125, + "learning_rate": 0.00013504288525850416, + "loss": 4.4974, + "mean_token_accuracy": 0.22453696578741072, + "num_tokens": 16261192.0, + "step": 7360 + }, + { + "entropy": 5.362449789047242, + "epoch": 7.424609178013111, + "grad_norm": 1.40625, + "learning_rate": 0.00013473251676576975, + "loss": 4.616, + "mean_token_accuracy": 0.2193491742014885, + "num_tokens": 16272040.0, + "step": 7365 + }, + { + "entropy": 5.270107650756836, + "epoch": 7.42965204236006, + "grad_norm": 1.4921875, + "learning_rate": 0.000134422584227609, + "loss": 4.5013, + "mean_token_accuracy": 0.23930173367261887, + "num_tokens": 16283353.0, + "step": 7370 + }, + { + "entropy": 5.390665864944458, + "epoch": 7.434694906707009, + "grad_norm": 1.375, + "learning_rate": 0.0001341130886072992, + "loss": 4.6324, + "mean_token_accuracy": 0.22283827662467956, + "num_tokens": 16294828.0, + "step": 7375 + }, + { + "entropy": 5.253811550140381, + "epoch": 7.4397377710539585, + "grad_norm": 1.296875, + "learning_rate": 0.00013380403086676014, + "loss": 4.4781, + "mean_token_accuracy": 0.23178844898939133, + "num_tokens": 16305962.0, + "step": 7380 + }, + { + "entropy": 5.328195524215698, + "epoch": 7.444780635400908, + "grad_norm": 1.453125, + "learning_rate": 0.00013349541196655006, + "loss": 4.5993, + "mean_token_accuracy": 0.2227032318711281, + "num_tokens": 16317393.0, + "step": 7385 + }, + { + "entropy": 5.331318092346192, + "epoch": 7.449823499747857, + "grad_norm": 1.4765625, + "learning_rate": 0.00013318723286586388, + "loss": 4.526, + "mean_token_accuracy": 0.23059408664703368, + "num_tokens": 16328833.0, + "step": 7390 + }, + { + "entropy": 5.3062169551849365, + "epoch": 7.454866364094806, + "grad_norm": 1.4140625, + "learning_rate": 0.0001328794945225293, + "loss": 4.5374, + "mean_token_accuracy": 0.2280798375606537, + "num_tokens": 16341317.0, + "step": 7395 + }, + { + "entropy": 5.321703195571899, + "epoch": 7.459909228441755, + "grad_norm": 1.46875, + "learning_rate": 0.00013257219789300417, + "loss": 4.5646, + "mean_token_accuracy": 0.2251522347331047, + "num_tokens": 16350975.0, + "step": 7400 + }, + { + "entropy": 5.3876220703125, + "epoch": 7.464952092788704, + "grad_norm": 1.3671875, + "learning_rate": 0.0001322653439323735, + "loss": 4.6333, + "mean_token_accuracy": 0.2244359627366066, + "num_tokens": 16362402.0, + "step": 7405 + }, + { + "entropy": 5.36578335762024, + "epoch": 7.469994957135653, + "grad_norm": 1.484375, + "learning_rate": 0.00013195893359434658, + "loss": 4.6849, + "mean_token_accuracy": 0.22018146961927415, + "num_tokens": 16373098.0, + "step": 7410 + }, + { + "entropy": 5.299588871002197, + "epoch": 7.475037821482602, + "grad_norm": 1.4765625, + "learning_rate": 0.00013165296783125357, + "loss": 4.5213, + "mean_token_accuracy": 0.23005716651678085, + "num_tokens": 16384102.0, + "step": 7415 + }, + { + "entropy": 5.366280937194825, + "epoch": 7.480080685829551, + "grad_norm": 1.453125, + "learning_rate": 0.00013134744759404332, + "loss": 4.5654, + "mean_token_accuracy": 0.22681732922792436, + "num_tokens": 16396395.0, + "step": 7420 + }, + { + "entropy": 5.3814598560333256, + "epoch": 7.4851235501765006, + "grad_norm": 1.6015625, + "learning_rate": 0.0001310423738322797, + "loss": 4.6075, + "mean_token_accuracy": 0.22390911281108855, + "num_tokens": 16406903.0, + "step": 7425 + }, + { + "entropy": 5.296126842498779, + "epoch": 7.49016641452345, + "grad_norm": 1.4375, + "learning_rate": 0.00013073774749413903, + "loss": 4.5692, + "mean_token_accuracy": 0.22573120296001434, + "num_tokens": 16418330.0, + "step": 7430 + }, + { + "entropy": 5.361040496826172, + "epoch": 7.495209278870399, + "grad_norm": 1.78125, + "learning_rate": 0.00013043356952640697, + "loss": 4.6114, + "mean_token_accuracy": 0.22498591393232345, + "num_tokens": 16428157.0, + "step": 7435 + }, + { + "entropy": 5.366618680953979, + "epoch": 7.500252143217347, + "grad_norm": 1.484375, + "learning_rate": 0.00013012984087447567, + "loss": 4.6161, + "mean_token_accuracy": 0.22266503125429155, + "num_tokens": 16439517.0, + "step": 7440 + }, + { + "entropy": 5.389238119125366, + "epoch": 7.505295007564296, + "grad_norm": 1.4375, + "learning_rate": 0.00012982656248234088, + "loss": 4.5862, + "mean_token_accuracy": 0.22562944442033767, + "num_tokens": 16450681.0, + "step": 7445 + }, + { + "entropy": 5.36590576171875, + "epoch": 7.510337871911245, + "grad_norm": 1.3203125, + "learning_rate": 0.00012952373529259863, + "loss": 4.6879, + "mean_token_accuracy": 0.2208303615450859, + "num_tokens": 16462234.0, + "step": 7450 + }, + { + "entropy": 5.239923477172852, + "epoch": 7.515380736258194, + "grad_norm": 1.4296875, + "learning_rate": 0.00012922136024644298, + "loss": 4.4677, + "mean_token_accuracy": 0.23347049206495285, + "num_tokens": 16472391.0, + "step": 7455 + }, + { + "entropy": 5.296608209609985, + "epoch": 7.5204236006051435, + "grad_norm": 1.4609375, + "learning_rate": 0.00012891943828366247, + "loss": 4.5239, + "mean_token_accuracy": 0.2323160022497177, + "num_tokens": 16484589.0, + "step": 7460 + }, + { + "entropy": 5.275177526473999, + "epoch": 7.525466464952093, + "grad_norm": 1.421875, + "learning_rate": 0.00012861797034263763, + "loss": 4.5429, + "mean_token_accuracy": 0.22243109196424485, + "num_tokens": 16495015.0, + "step": 7465 + }, + { + "entropy": 5.28558087348938, + "epoch": 7.530509329299042, + "grad_norm": 1.609375, + "learning_rate": 0.0001283169573603376, + "loss": 4.5337, + "mean_token_accuracy": 0.22720717787742614, + "num_tokens": 16506052.0, + "step": 7470 + }, + { + "entropy": 5.38506007194519, + "epoch": 7.535552193645991, + "grad_norm": 1.390625, + "learning_rate": 0.00012801640027231792, + "loss": 4.6231, + "mean_token_accuracy": 0.22220973819494247, + "num_tokens": 16516006.0, + "step": 7475 + }, + { + "entropy": 5.305652761459351, + "epoch": 7.54059505799294, + "grad_norm": 1.6484375, + "learning_rate": 0.00012771630001271668, + "loss": 4.5481, + "mean_token_accuracy": 0.23007031828165053, + "num_tokens": 16525689.0, + "step": 7480 + }, + { + "entropy": 5.411469030380249, + "epoch": 7.545637922339889, + "grad_norm": 1.53125, + "learning_rate": 0.00012741665751425253, + "loss": 4.6688, + "mean_token_accuracy": 0.22066134959459305, + "num_tokens": 16537685.0, + "step": 7485 + }, + { + "entropy": 5.292471694946289, + "epoch": 7.550680786686838, + "grad_norm": 1.5234375, + "learning_rate": 0.00012711747370822127, + "loss": 4.5434, + "mean_token_accuracy": 0.2249879539012909, + "num_tokens": 16549004.0, + "step": 7490 + }, + { + "entropy": 5.308638668060302, + "epoch": 7.555723651033787, + "grad_norm": 1.3984375, + "learning_rate": 0.00012681874952449315, + "loss": 4.5036, + "mean_token_accuracy": 0.22816321402788162, + "num_tokens": 16559828.0, + "step": 7495 + }, + { + "entropy": 5.357577991485596, + "epoch": 7.560766515380736, + "grad_norm": 1.4609375, + "learning_rate": 0.0001265204858915097, + "loss": 4.6009, + "mean_token_accuracy": 0.22611231803894044, + "num_tokens": 16571157.0, + "step": 7500 + }, + { + "entropy": 5.276933574676514, + "epoch": 7.5658093797276855, + "grad_norm": 1.3125, + "learning_rate": 0.00012622268373628127, + "loss": 4.5728, + "mean_token_accuracy": 0.22095130234956742, + "num_tokens": 16583183.0, + "step": 7505 + }, + { + "entropy": 5.30887656211853, + "epoch": 7.570852244074635, + "grad_norm": 1.4765625, + "learning_rate": 0.00012592534398438369, + "loss": 4.5435, + "mean_token_accuracy": 0.22795689702033997, + "num_tokens": 16593985.0, + "step": 7510 + }, + { + "entropy": 5.304389715194702, + "epoch": 7.575895108421584, + "grad_norm": 1.5703125, + "learning_rate": 0.00012562846755995586, + "loss": 4.5773, + "mean_token_accuracy": 0.2223420187830925, + "num_tokens": 16605084.0, + "step": 7515 + }, + { + "entropy": 5.27324481010437, + "epoch": 7.580937972768533, + "grad_norm": 1.59375, + "learning_rate": 0.00012533205538569654, + "loss": 4.5116, + "mean_token_accuracy": 0.22414469569921494, + "num_tokens": 16615754.0, + "step": 7520 + }, + { + "entropy": 5.312811994552613, + "epoch": 7.585980837115482, + "grad_norm": 1.3671875, + "learning_rate": 0.0001250361083828617, + "loss": 4.5674, + "mean_token_accuracy": 0.22256779074668884, + "num_tokens": 16626326.0, + "step": 7525 + }, + { + "entropy": 5.362917804718018, + "epoch": 7.591023701462431, + "grad_norm": 1.4140625, + "learning_rate": 0.0001247406274712613, + "loss": 4.6654, + "mean_token_accuracy": 0.21558403223752975, + "num_tokens": 16637843.0, + "step": 7530 + }, + { + "entropy": 5.3201123714447025, + "epoch": 7.59606656580938, + "grad_norm": 1.671875, + "learning_rate": 0.00012444561356925697, + "loss": 4.5289, + "mean_token_accuracy": 0.23688336163759233, + "num_tokens": 16647282.0, + "step": 7535 + }, + { + "entropy": 5.3486199378967285, + "epoch": 7.6011094301563285, + "grad_norm": 1.5, + "learning_rate": 0.00012415106759375855, + "loss": 4.6387, + "mean_token_accuracy": 0.2242850825190544, + "num_tokens": 16658830.0, + "step": 7540 + }, + { + "entropy": 5.397105884552002, + "epoch": 7.606152294503278, + "grad_norm": 1.5390625, + "learning_rate": 0.00012385699046022188, + "loss": 4.6537, + "mean_token_accuracy": 0.2174565613269806, + "num_tokens": 16671129.0, + "step": 7545 + }, + { + "entropy": 5.306834745407104, + "epoch": 7.611195158850227, + "grad_norm": 1.40625, + "learning_rate": 0.00012356338308264537, + "loss": 4.6074, + "mean_token_accuracy": 0.22890110015869142, + "num_tokens": 16681517.0, + "step": 7550 + }, + { + "entropy": 5.346094751358033, + "epoch": 7.616238023197176, + "grad_norm": 1.3984375, + "learning_rate": 0.0001232702463735676, + "loss": 4.5922, + "mean_token_accuracy": 0.22769390940666198, + "num_tokens": 16692821.0, + "step": 7555 + }, + { + "entropy": 5.306934452056884, + "epoch": 7.621280887544125, + "grad_norm": 1.5859375, + "learning_rate": 0.00012297758124406427, + "loss": 4.5288, + "mean_token_accuracy": 0.2301470398902893, + "num_tokens": 16703702.0, + "step": 7560 + }, + { + "entropy": 5.30745792388916, + "epoch": 7.626323751891074, + "grad_norm": 1.3203125, + "learning_rate": 0.00012268538860374517, + "loss": 4.6036, + "mean_token_accuracy": 0.2234151005744934, + "num_tokens": 16716613.0, + "step": 7565 + }, + { + "entropy": 5.266137027740479, + "epoch": 7.631366616238023, + "grad_norm": 1.609375, + "learning_rate": 0.00012239366936075196, + "loss": 4.5784, + "mean_token_accuracy": 0.22560738176107406, + "num_tokens": 16728305.0, + "step": 7570 + }, + { + "entropy": 5.287670373916626, + "epoch": 7.636409480584972, + "grad_norm": 1.453125, + "learning_rate": 0.00012210242442175462, + "loss": 4.5269, + "mean_token_accuracy": 0.22116995751857757, + "num_tokens": 16739690.0, + "step": 7575 + }, + { + "entropy": 5.335946035385132, + "epoch": 7.641452344931921, + "grad_norm": 1.5859375, + "learning_rate": 0.00012181165469194924, + "loss": 4.5635, + "mean_token_accuracy": 0.22129445821046828, + "num_tokens": 16749564.0, + "step": 7580 + }, + { + "entropy": 5.317498636245728, + "epoch": 7.6464952092788705, + "grad_norm": 1.40625, + "learning_rate": 0.0001215213610750548, + "loss": 4.5602, + "mean_token_accuracy": 0.2325634852051735, + "num_tokens": 16760365.0, + "step": 7585 + }, + { + "entropy": 5.32337589263916, + "epoch": 7.65153807362582, + "grad_norm": 1.453125, + "learning_rate": 0.00012123154447331064, + "loss": 4.5715, + "mean_token_accuracy": 0.22457259893417358, + "num_tokens": 16770583.0, + "step": 7590 + }, + { + "entropy": 5.356166934967041, + "epoch": 7.656580937972769, + "grad_norm": 1.328125, + "learning_rate": 0.00012094220578747332, + "loss": 4.6304, + "mean_token_accuracy": 0.22145547419786454, + "num_tokens": 16781361.0, + "step": 7595 + }, + { + "entropy": 5.274415302276611, + "epoch": 7.661623802319718, + "grad_norm": 1.390625, + "learning_rate": 0.0001206533459168143, + "loss": 4.5307, + "mean_token_accuracy": 0.22214600145816804, + "num_tokens": 16792186.0, + "step": 7600 + }, + { + "entropy": 5.318784618377686, + "epoch": 7.666666666666667, + "grad_norm": 1.2578125, + "learning_rate": 0.00012036496575911656, + "loss": 4.5802, + "mean_token_accuracy": 0.2268913507461548, + "num_tokens": 16803937.0, + "step": 7605 + }, + { + "entropy": 5.311258459091187, + "epoch": 7.671709531013616, + "grad_norm": 1.53125, + "learning_rate": 0.00012007706621067232, + "loss": 4.525, + "mean_token_accuracy": 0.2303698718547821, + "num_tokens": 16814895.0, + "step": 7610 + }, + { + "entropy": 5.31242356300354, + "epoch": 7.676752395360564, + "grad_norm": 1.71875, + "learning_rate": 0.00011978964816628008, + "loss": 4.5334, + "mean_token_accuracy": 0.22758640199899674, + "num_tokens": 16826037.0, + "step": 7615 + }, + { + "entropy": 5.271807146072388, + "epoch": 7.681795259707513, + "grad_norm": 1.5546875, + "learning_rate": 0.00011950271251924178, + "loss": 4.4724, + "mean_token_accuracy": 0.23702401518821717, + "num_tokens": 16835703.0, + "step": 7620 + }, + { + "entropy": 5.282507610321045, + "epoch": 7.6868381240544625, + "grad_norm": 1.484375, + "learning_rate": 0.00011921626016135991, + "loss": 4.5282, + "mean_token_accuracy": 0.22803466767072678, + "num_tokens": 16846539.0, + "step": 7625 + }, + { + "entropy": 5.281121873855591, + "epoch": 7.691880988401412, + "grad_norm": 1.421875, + "learning_rate": 0.00011893029198293512, + "loss": 4.5445, + "mean_token_accuracy": 0.22394832819700242, + "num_tokens": 16857817.0, + "step": 7630 + }, + { + "entropy": 5.33010630607605, + "epoch": 7.696923852748361, + "grad_norm": 1.6015625, + "learning_rate": 0.00011864480887276301, + "loss": 4.6414, + "mean_token_accuracy": 0.22376425415277482, + "num_tokens": 16868784.0, + "step": 7635 + }, + { + "entropy": 5.3465811252594, + "epoch": 7.70196671709531, + "grad_norm": 1.2265625, + "learning_rate": 0.0001183598117181317, + "loss": 4.6156, + "mean_token_accuracy": 0.2192062795162201, + "num_tokens": 16881602.0, + "step": 7640 + }, + { + "entropy": 5.277960157394409, + "epoch": 7.707009581442259, + "grad_norm": 1.28125, + "learning_rate": 0.00011807530140481896, + "loss": 4.5068, + "mean_token_accuracy": 0.22552557289600372, + "num_tokens": 16891821.0, + "step": 7645 + }, + { + "entropy": 5.327262258529663, + "epoch": 7.712052445789208, + "grad_norm": 1.4609375, + "learning_rate": 0.00011779127881708946, + "loss": 4.5091, + "mean_token_accuracy": 0.22946414947509766, + "num_tokens": 16902637.0, + "step": 7650 + }, + { + "entropy": 5.300185346603394, + "epoch": 7.717095310136157, + "grad_norm": 1.4140625, + "learning_rate": 0.0001175077448376918, + "loss": 4.535, + "mean_token_accuracy": 0.2277278035879135, + "num_tokens": 16912359.0, + "step": 7655 + }, + { + "entropy": 5.284604454040528, + "epoch": 7.722138174483106, + "grad_norm": 1.3671875, + "learning_rate": 0.0001172247003478562, + "loss": 4.5577, + "mean_token_accuracy": 0.22572640776634217, + "num_tokens": 16922724.0, + "step": 7660 + }, + { + "entropy": 5.213465547561645, + "epoch": 7.7271810388300555, + "grad_norm": 1.5859375, + "learning_rate": 0.00011694214622729157, + "loss": 4.4421, + "mean_token_accuracy": 0.23288478404283525, + "num_tokens": 16932813.0, + "step": 7665 + }, + { + "entropy": 5.313967657089234, + "epoch": 7.732223903177005, + "grad_norm": 1.3046875, + "learning_rate": 0.00011666008335418241, + "loss": 4.5577, + "mean_token_accuracy": 0.22839430570602418, + "num_tokens": 16943303.0, + "step": 7670 + }, + { + "entropy": 5.247530269622803, + "epoch": 7.737266767523954, + "grad_norm": 1.5234375, + "learning_rate": 0.0001163785126051868, + "loss": 4.5009, + "mean_token_accuracy": 0.23481897562742232, + "num_tokens": 16953634.0, + "step": 7675 + }, + { + "entropy": 5.266384077072144, + "epoch": 7.742309631870903, + "grad_norm": 1.3984375, + "learning_rate": 0.0001160974348554331, + "loss": 4.5315, + "mean_token_accuracy": 0.2252170756459236, + "num_tokens": 16965492.0, + "step": 7680 + }, + { + "entropy": 5.314987421035767, + "epoch": 7.747352496217852, + "grad_norm": 1.328125, + "learning_rate": 0.00011581685097851747, + "loss": 4.5686, + "mean_token_accuracy": 0.22445572167634964, + "num_tokens": 16977371.0, + "step": 7685 + }, + { + "entropy": 5.288613224029541, + "epoch": 7.752395360564801, + "grad_norm": 1.6484375, + "learning_rate": 0.00011553676184650096, + "loss": 4.5362, + "mean_token_accuracy": 0.22426740676164628, + "num_tokens": 16987326.0, + "step": 7690 + }, + { + "entropy": 5.283485555648804, + "epoch": 7.75743822491175, + "grad_norm": 1.328125, + "learning_rate": 0.00011525716832990722, + "loss": 4.5963, + "mean_token_accuracy": 0.22658440172672273, + "num_tokens": 16999139.0, + "step": 7695 + }, + { + "entropy": 5.3257793426513675, + "epoch": 7.762481089258699, + "grad_norm": 1.5234375, + "learning_rate": 0.00011497807129771916, + "loss": 4.5797, + "mean_token_accuracy": 0.22883530110120773, + "num_tokens": 17009448.0, + "step": 7700 + }, + { + "entropy": 5.379080009460449, + "epoch": 7.767523953605648, + "grad_norm": 1.4140625, + "learning_rate": 0.00011469947161737689, + "loss": 4.5861, + "mean_token_accuracy": 0.2224203512072563, + "num_tokens": 17021722.0, + "step": 7705 + }, + { + "entropy": 5.287229251861572, + "epoch": 7.7725668179525975, + "grad_norm": 1.515625, + "learning_rate": 0.00011442137015477464, + "loss": 4.5167, + "mean_token_accuracy": 0.23297096639871598, + "num_tokens": 17031792.0, + "step": 7710 + }, + { + "entropy": 5.319322204589843, + "epoch": 7.777609682299547, + "grad_norm": 1.5859375, + "learning_rate": 0.00011414376777425823, + "loss": 4.5327, + "mean_token_accuracy": 0.22883716523647307, + "num_tokens": 17042055.0, + "step": 7715 + }, + { + "entropy": 5.3068677425384525, + "epoch": 7.782652546646495, + "grad_norm": 1.328125, + "learning_rate": 0.00011386666533862214, + "loss": 4.5914, + "mean_token_accuracy": 0.2252935603260994, + "num_tokens": 17052857.0, + "step": 7720 + }, + { + "entropy": 5.273164224624634, + "epoch": 7.787695410993444, + "grad_norm": 1.5, + "learning_rate": 0.00011359006370910727, + "loss": 4.5537, + "mean_token_accuracy": 0.2305971637368202, + "num_tokens": 17064341.0, + "step": 7725 + }, + { + "entropy": 5.305374336242676, + "epoch": 7.792738275340393, + "grad_norm": 1.34375, + "learning_rate": 0.00011331396374539771, + "loss": 4.5731, + "mean_token_accuracy": 0.222213251888752, + "num_tokens": 17074218.0, + "step": 7730 + }, + { + "entropy": 5.308695316314697, + "epoch": 7.797781139687342, + "grad_norm": 1.4609375, + "learning_rate": 0.00011303836630561861, + "loss": 4.5905, + "mean_token_accuracy": 0.21950939744710923, + "num_tokens": 17085544.0, + "step": 7735 + }, + { + "entropy": 5.406766414642334, + "epoch": 7.802824004034291, + "grad_norm": 1.359375, + "learning_rate": 0.00011276327224633311, + "loss": 4.5959, + "mean_token_accuracy": 0.22596415579319, + "num_tokens": 17097553.0, + "step": 7740 + }, + { + "entropy": 5.344729852676392, + "epoch": 7.80786686838124, + "grad_norm": 1.3828125, + "learning_rate": 0.00011248868242254006, + "loss": 4.5757, + "mean_token_accuracy": 0.22669263333082199, + "num_tokens": 17109567.0, + "step": 7745 + }, + { + "entropy": 5.244525671005249, + "epoch": 7.81290973272819, + "grad_norm": 1.265625, + "learning_rate": 0.00011221459768767074, + "loss": 4.5121, + "mean_token_accuracy": 0.2305280089378357, + "num_tokens": 17121145.0, + "step": 7750 + }, + { + "entropy": 5.3089498519897464, + "epoch": 7.817952597075139, + "grad_norm": 1.3984375, + "learning_rate": 0.00011194101889358702, + "loss": 4.5218, + "mean_token_accuracy": 0.2350049212574959, + "num_tokens": 17132584.0, + "step": 7755 + }, + { + "entropy": 5.229285717010498, + "epoch": 7.822995461422088, + "grad_norm": 1.4453125, + "learning_rate": 0.00011166794689057794, + "loss": 4.5309, + "mean_token_accuracy": 0.2319831818342209, + "num_tokens": 17144886.0, + "step": 7760 + }, + { + "entropy": 5.328343915939331, + "epoch": 7.828038325769037, + "grad_norm": 1.2109375, + "learning_rate": 0.00011139538252735765, + "loss": 4.5736, + "mean_token_accuracy": 0.2246859759092331, + "num_tokens": 17156657.0, + "step": 7765 + }, + { + "entropy": 5.3752885341644285, + "epoch": 7.833081190115986, + "grad_norm": 1.5703125, + "learning_rate": 0.00011112332665106251, + "loss": 4.5368, + "mean_token_accuracy": 0.2304507315158844, + "num_tokens": 17167187.0, + "step": 7770 + }, + { + "entropy": 5.285399866104126, + "epoch": 7.838124054462935, + "grad_norm": 1.5625, + "learning_rate": 0.00011085178010724845, + "loss": 4.5736, + "mean_token_accuracy": 0.22975996285676956, + "num_tokens": 17177286.0, + "step": 7775 + }, + { + "entropy": 5.291580104827881, + "epoch": 7.843166918809884, + "grad_norm": 1.484375, + "learning_rate": 0.00011058074373988842, + "loss": 4.5471, + "mean_token_accuracy": 0.23216841369867325, + "num_tokens": 17188238.0, + "step": 7780 + }, + { + "entropy": 5.266287231445313, + "epoch": 7.848209783156833, + "grad_norm": 1.453125, + "learning_rate": 0.0001103102183913696, + "loss": 4.521, + "mean_token_accuracy": 0.2291943222284317, + "num_tokens": 17198718.0, + "step": 7785 + }, + { + "entropy": 5.2794482707977295, + "epoch": 7.8532526475037825, + "grad_norm": 1.421875, + "learning_rate": 0.00011004020490249116, + "loss": 4.5303, + "mean_token_accuracy": 0.228071728348732, + "num_tokens": 17210967.0, + "step": 7790 + }, + { + "entropy": 5.322843027114868, + "epoch": 7.858295511850731, + "grad_norm": 1.4765625, + "learning_rate": 0.00010977070411246107, + "loss": 4.5905, + "mean_token_accuracy": 0.2273973509669304, + "num_tokens": 17221315.0, + "step": 7795 + }, + { + "entropy": 5.3241020202636715, + "epoch": 7.86333837619768, + "grad_norm": 1.234375, + "learning_rate": 0.00010950171685889413, + "loss": 4.585, + "mean_token_accuracy": 0.22383731305599214, + "num_tokens": 17233288.0, + "step": 7800 + }, + { + "entropy": 5.3411448955535885, + "epoch": 7.868381240544629, + "grad_norm": 1.3984375, + "learning_rate": 0.00010923324397780887, + "loss": 4.6326, + "mean_token_accuracy": 0.22491965144872667, + "num_tokens": 17244615.0, + "step": 7805 + }, + { + "entropy": 5.342803716659546, + "epoch": 7.873424104891578, + "grad_norm": 1.421875, + "learning_rate": 0.00010896528630362531, + "loss": 4.6321, + "mean_token_accuracy": 0.21376804858446122, + "num_tokens": 17257160.0, + "step": 7810 + }, + { + "entropy": 5.293786811828613, + "epoch": 7.878466969238527, + "grad_norm": 1.4609375, + "learning_rate": 0.00010869784466916193, + "loss": 4.5543, + "mean_token_accuracy": 0.23080696016550065, + "num_tokens": 17267031.0, + "step": 7815 + }, + { + "entropy": 5.2784459590911865, + "epoch": 7.883509833585476, + "grad_norm": 1.3828125, + "learning_rate": 0.00010843091990563365, + "loss": 4.5285, + "mean_token_accuracy": 0.22890277504920958, + "num_tokens": 17278646.0, + "step": 7820 + }, + { + "entropy": 5.277114963531494, + "epoch": 7.888552697932425, + "grad_norm": 1.515625, + "learning_rate": 0.00010816451284264864, + "loss": 4.5253, + "mean_token_accuracy": 0.23021158277988435, + "num_tokens": 17289850.0, + "step": 7825 + }, + { + "entropy": 5.268877267837524, + "epoch": 7.8935955622793745, + "grad_norm": 1.453125, + "learning_rate": 0.00010789862430820626, + "loss": 4.4812, + "mean_token_accuracy": 0.23131601512432098, + "num_tokens": 17300310.0, + "step": 7830 + }, + { + "entropy": 5.332101154327392, + "epoch": 7.898638426626324, + "grad_norm": 1.328125, + "learning_rate": 0.00010763325512869422, + "loss": 4.5342, + "mean_token_accuracy": 0.22362216264009477, + "num_tokens": 17311018.0, + "step": 7835 + }, + { + "entropy": 5.323485040664673, + "epoch": 7.903681290973273, + "grad_norm": 1.234375, + "learning_rate": 0.0001073684061288861, + "loss": 4.5738, + "mean_token_accuracy": 0.22401265501976014, + "num_tokens": 17322514.0, + "step": 7840 + }, + { + "entropy": 5.274320220947265, + "epoch": 7.908724155320222, + "grad_norm": 1.4765625, + "learning_rate": 0.00010710407813193859, + "loss": 4.4651, + "mean_token_accuracy": 0.2336328610777855, + "num_tokens": 17333380.0, + "step": 7845 + }, + { + "entropy": 5.331114625930786, + "epoch": 7.913767019667171, + "grad_norm": 1.6640625, + "learning_rate": 0.00010684027195938936, + "loss": 4.5531, + "mean_token_accuracy": 0.22855425477027894, + "num_tokens": 17343634.0, + "step": 7850 + }, + { + "entropy": 5.296746158599854, + "epoch": 7.91880988401412, + "grad_norm": 1.515625, + "learning_rate": 0.0001065769884311539, + "loss": 4.5453, + "mean_token_accuracy": 0.22929067760705948, + "num_tokens": 17354406.0, + "step": 7855 + }, + { + "entropy": 5.304460239410401, + "epoch": 7.923852748361069, + "grad_norm": 1.4453125, + "learning_rate": 0.00010631422836552354, + "loss": 4.5345, + "mean_token_accuracy": 0.2316679462790489, + "num_tokens": 17365744.0, + "step": 7860 + }, + { + "entropy": 5.32832899093628, + "epoch": 7.928895612708018, + "grad_norm": 1.6875, + "learning_rate": 0.00010605199257916269, + "loss": 4.5223, + "mean_token_accuracy": 0.22830361276865005, + "num_tokens": 17374568.0, + "step": 7865 + }, + { + "entropy": 5.287968444824219, + "epoch": 7.9339384770549675, + "grad_norm": 1.609375, + "learning_rate": 0.00010579028188710619, + "loss": 4.5964, + "mean_token_accuracy": 0.23095479160547255, + "num_tokens": 17383758.0, + "step": 7870 + }, + { + "entropy": 5.323292398452759, + "epoch": 7.938981341401917, + "grad_norm": 1.53125, + "learning_rate": 0.00010552909710275693, + "loss": 4.5564, + "mean_token_accuracy": 0.22401752173900605, + "num_tokens": 17394959.0, + "step": 7875 + }, + { + "entropy": 5.272700023651123, + "epoch": 7.944024205748866, + "grad_norm": 1.4609375, + "learning_rate": 0.00010526843903788319, + "loss": 4.5073, + "mean_token_accuracy": 0.227046637237072, + "num_tokens": 17406081.0, + "step": 7880 + }, + { + "entropy": 5.278417110443115, + "epoch": 7.949067070095815, + "grad_norm": 1.375, + "learning_rate": 0.00010500830850261634, + "loss": 4.5866, + "mean_token_accuracy": 0.2223927065730095, + "num_tokens": 17416991.0, + "step": 7885 + }, + { + "entropy": 5.282284498214722, + "epoch": 7.954109934442764, + "grad_norm": 1.5390625, + "learning_rate": 0.00010474870630544797, + "loss": 4.5459, + "mean_token_accuracy": 0.22871990650892257, + "num_tokens": 17428852.0, + "step": 7890 + }, + { + "entropy": 5.3556859493255615, + "epoch": 7.959152798789713, + "grad_norm": 1.5078125, + "learning_rate": 0.00010448963325322772, + "loss": 4.6, + "mean_token_accuracy": 0.22484390884637834, + "num_tokens": 17441392.0, + "step": 7895 + }, + { + "entropy": 5.238609409332275, + "epoch": 7.964195663136661, + "grad_norm": 1.640625, + "learning_rate": 0.00010423109015116065, + "loss": 4.5164, + "mean_token_accuracy": 0.22583680748939514, + "num_tokens": 17451424.0, + "step": 7900 + }, + { + "entropy": 5.3415234088897705, + "epoch": 7.96923852748361, + "grad_norm": 1.2109375, + "learning_rate": 0.00010397307780280477, + "loss": 4.6164, + "mean_token_accuracy": 0.22037048786878585, + "num_tokens": 17462844.0, + "step": 7905 + }, + { + "entropy": 5.39510326385498, + "epoch": 7.9742813918305595, + "grad_norm": 1.5078125, + "learning_rate": 0.00010371559701006825, + "loss": 4.6591, + "mean_token_accuracy": 0.21631602793931962, + "num_tokens": 17474762.0, + "step": 7910 + }, + { + "entropy": 5.3185008525848385, + "epoch": 7.979324256177509, + "grad_norm": 1.4296875, + "learning_rate": 0.00010345864857320747, + "loss": 4.4361, + "mean_token_accuracy": 0.2360628515481949, + "num_tokens": 17484183.0, + "step": 7915 + }, + { + "entropy": 5.312637233734131, + "epoch": 7.984367120524458, + "grad_norm": 1.234375, + "learning_rate": 0.00010320223329082396, + "loss": 4.5867, + "mean_token_accuracy": 0.22681370079517366, + "num_tokens": 17496633.0, + "step": 7920 + }, + { + "entropy": 5.301121377944947, + "epoch": 7.989409984871407, + "grad_norm": 1.25, + "learning_rate": 0.0001029463519598624, + "loss": 4.5431, + "mean_token_accuracy": 0.22839869260787965, + "num_tokens": 17508045.0, + "step": 7925 + }, + { + "entropy": 5.288463926315307, + "epoch": 7.994452849218356, + "grad_norm": 1.4921875, + "learning_rate": 0.00010269100537560789, + "loss": 4.5306, + "mean_token_accuracy": 0.2247989997267723, + "num_tokens": 17521106.0, + "step": 7930 + }, + { + "entropy": 5.356024360656738, + "epoch": 7.999495713565305, + "grad_norm": 1.5390625, + "learning_rate": 0.00010243619433168352, + "loss": 4.6395, + "mean_token_accuracy": 0.2223085269331932, + "num_tokens": 17532544.0, + "step": 7935 + }, + { + "entropy": 5.3616312344868975, + "epoch": 8.00403429147756, + "grad_norm": 1.34375, + "learning_rate": 0.00010218191962004781, + "loss": 4.547, + "mean_token_accuracy": 0.2326621562242508, + "num_tokens": 17542119.0, + "step": 7940 + }, + { + "entropy": 5.311877346038818, + "epoch": 8.009077155824508, + "grad_norm": 1.328125, + "learning_rate": 0.00010192818203099258, + "loss": 4.4358, + "mean_token_accuracy": 0.23654426783323287, + "num_tokens": 17553355.0, + "step": 7945 + }, + { + "entropy": 5.258828115463257, + "epoch": 8.014120020171458, + "grad_norm": 1.53125, + "learning_rate": 0.0001016749823531399, + "loss": 4.3704, + "mean_token_accuracy": 0.24314106851816178, + "num_tokens": 17563234.0, + "step": 7950 + }, + { + "entropy": 5.268916511535645, + "epoch": 8.019162884518407, + "grad_norm": 1.2890625, + "learning_rate": 0.00010142232137344036, + "loss": 4.4797, + "mean_token_accuracy": 0.2338918849825859, + "num_tokens": 17575492.0, + "step": 7955 + }, + { + "entropy": 5.314383029937744, + "epoch": 8.024205748865356, + "grad_norm": 1.4140625, + "learning_rate": 0.00010117019987717005, + "loss": 4.4877, + "mean_token_accuracy": 0.2365739092230797, + "num_tokens": 17585617.0, + "step": 7960 + }, + { + "entropy": 5.3489385604858395, + "epoch": 8.029248613212305, + "grad_norm": 1.3125, + "learning_rate": 0.00010091861864792848, + "loss": 4.5526, + "mean_token_accuracy": 0.22858421206474305, + "num_tokens": 17597120.0, + "step": 7965 + }, + { + "entropy": 5.2441305160522464, + "epoch": 8.034291477559254, + "grad_norm": 1.375, + "learning_rate": 0.0001006675784676358, + "loss": 4.4416, + "mean_token_accuracy": 0.23799983263015748, + "num_tokens": 17608571.0, + "step": 7970 + }, + { + "entropy": 5.3542809009552, + "epoch": 8.039334341906203, + "grad_norm": 1.5859375, + "learning_rate": 0.00010041708011653081, + "loss": 4.5658, + "mean_token_accuracy": 0.2330212876200676, + "num_tokens": 17618849.0, + "step": 7975 + }, + { + "entropy": 5.297583866119385, + "epoch": 8.044377206253152, + "grad_norm": 1.328125, + "learning_rate": 0.00010016712437316799, + "loss": 4.5363, + "mean_token_accuracy": 0.22871415317058563, + "num_tokens": 17629677.0, + "step": 7980 + }, + { + "entropy": 5.313520288467407, + "epoch": 8.049420070600101, + "grad_norm": 1.53125, + "learning_rate": 9.991771201441569e-05, + "loss": 4.5538, + "mean_token_accuracy": 0.2283458888530731, + "num_tokens": 17640896.0, + "step": 7985 + }, + { + "entropy": 5.271265649795533, + "epoch": 8.05446293494705, + "grad_norm": 1.40625, + "learning_rate": 9.966884381545322e-05, + "loss": 4.4709, + "mean_token_accuracy": 0.231563700735569, + "num_tokens": 17651844.0, + "step": 7990 + }, + { + "entropy": 5.3346508026123045, + "epoch": 8.059505799294, + "grad_norm": 1.34375, + "learning_rate": 9.942052054976872e-05, + "loss": 4.5024, + "mean_token_accuracy": 0.23163753002882004, + "num_tokens": 17663155.0, + "step": 7995 + }, + { + "entropy": 5.311872243881226, + "epoch": 8.064548663640949, + "grad_norm": 1.5546875, + "learning_rate": 9.917274298915665e-05, + "loss": 4.4887, + "mean_token_accuracy": 0.2358957439661026, + "num_tokens": 17673459.0, + "step": 8000 + }, + { + "epoch": 8.064548663640949, + "eval_entropy": 5.197940458171543, + "eval_loss": 5.663304328918457, + "eval_mean_token_accuracy": 0.1566847822707118, + "eval_num_tokens": 17673459.0, + "eval_runtime": 2.0274, + "eval_samples_per_second": 1547.776, + "eval_steps_per_second": 193.842, + "step": 8000 + }, + { + "entropy": 5.352674770355224, + "epoch": 8.069591527987898, + "grad_norm": 1.6171875, + "learning_rate": 9.892551190371529e-05, + "loss": 4.5428, + "mean_token_accuracy": 0.22682093530893327, + "num_tokens": 17683643.0, + "step": 8005 + }, + { + "entropy": 5.325619745254516, + "epoch": 8.074634392334847, + "grad_norm": 1.671875, + "learning_rate": 9.867882806184469e-05, + "loss": 4.5126, + "mean_token_accuracy": 0.23866982758045197, + "num_tokens": 17693221.0, + "step": 8010 + }, + { + "entropy": 5.307823419570923, + "epoch": 8.079677256681796, + "grad_norm": 1.2578125, + "learning_rate": 9.843269223024376e-05, + "loss": 4.5581, + "mean_token_accuracy": 0.22953882664442063, + "num_tokens": 17704613.0, + "step": 8015 + }, + { + "entropy": 5.332580852508545, + "epoch": 8.084720121028745, + "grad_norm": 1.234375, + "learning_rate": 9.818710517390841e-05, + "loss": 4.5638, + "mean_token_accuracy": 0.22718493938446044, + "num_tokens": 17716583.0, + "step": 8020 + }, + { + "entropy": 5.30693473815918, + "epoch": 8.089762985375694, + "grad_norm": 1.6328125, + "learning_rate": 9.794206765612893e-05, + "loss": 4.5263, + "mean_token_accuracy": 0.23354125767946243, + "num_tokens": 17727110.0, + "step": 8025 + }, + { + "entropy": 5.273364114761352, + "epoch": 8.094805849722642, + "grad_norm": 1.4921875, + "learning_rate": 9.76975804384876e-05, + "loss": 4.4103, + "mean_token_accuracy": 0.24297529458999634, + "num_tokens": 17738036.0, + "step": 8030 + }, + { + "entropy": 5.342508220672608, + "epoch": 8.09984871406959, + "grad_norm": 1.5234375, + "learning_rate": 9.745364428085618e-05, + "loss": 4.5626, + "mean_token_accuracy": 0.23164557665586472, + "num_tokens": 17749065.0, + "step": 8035 + }, + { + "entropy": 5.3701817989349365, + "epoch": 8.10489157841654, + "grad_norm": 1.4296875, + "learning_rate": 9.721025994139404e-05, + "loss": 4.5478, + "mean_token_accuracy": 0.22957450598478318, + "num_tokens": 17760290.0, + "step": 8040 + }, + { + "entropy": 5.310699987411499, + "epoch": 8.109934442763489, + "grad_norm": 1.421875, + "learning_rate": 9.696742817654519e-05, + "loss": 4.4612, + "mean_token_accuracy": 0.23730871677398682, + "num_tokens": 17770861.0, + "step": 8045 + }, + { + "entropy": 5.33531641960144, + "epoch": 8.114977307110438, + "grad_norm": 1.5546875, + "learning_rate": 9.672514974103643e-05, + "loss": 4.5009, + "mean_token_accuracy": 0.23770394474267958, + "num_tokens": 17780610.0, + "step": 8050 + }, + { + "entropy": 5.282561922073365, + "epoch": 8.120020171457387, + "grad_norm": 1.28125, + "learning_rate": 9.648342538787467e-05, + "loss": 4.5347, + "mean_token_accuracy": 0.22920601218938827, + "num_tokens": 17793132.0, + "step": 8055 + }, + { + "entropy": 5.295777273178101, + "epoch": 8.125063035804336, + "grad_norm": 1.421875, + "learning_rate": 9.62422558683449e-05, + "loss": 4.4863, + "mean_token_accuracy": 0.23499085009098053, + "num_tokens": 17805327.0, + "step": 8060 + }, + { + "entropy": 5.336393976211548, + "epoch": 8.130105900151285, + "grad_norm": 1.4765625, + "learning_rate": 9.600164193200742e-05, + "loss": 4.5229, + "mean_token_accuracy": 0.23070756196975709, + "num_tokens": 17815702.0, + "step": 8065 + }, + { + "entropy": 5.220580387115478, + "epoch": 8.135148764498235, + "grad_norm": 1.53125, + "learning_rate": 9.576158432669599e-05, + "loss": 4.4122, + "mean_token_accuracy": 0.24020996391773225, + "num_tokens": 17827025.0, + "step": 8070 + }, + { + "entropy": 5.272632789611817, + "epoch": 8.140191628845184, + "grad_norm": 1.40625, + "learning_rate": 9.552208379851507e-05, + "loss": 4.4359, + "mean_token_accuracy": 0.24183342307806016, + "num_tokens": 17837626.0, + "step": 8075 + }, + { + "entropy": 5.254662370681762, + "epoch": 8.145234493192133, + "grad_norm": 1.265625, + "learning_rate": 9.528314109183788e-05, + "loss": 4.4956, + "mean_token_accuracy": 0.23561565428972245, + "num_tokens": 17850164.0, + "step": 8080 + }, + { + "entropy": 5.2602503299713135, + "epoch": 8.150277357539082, + "grad_norm": 1.5078125, + "learning_rate": 9.504475694930392e-05, + "loss": 4.4681, + "mean_token_accuracy": 0.23302088379859925, + "num_tokens": 17861076.0, + "step": 8085 + }, + { + "entropy": 5.265198755264282, + "epoch": 8.155320221886031, + "grad_norm": 1.546875, + "learning_rate": 9.480693211181654e-05, + "loss": 4.4372, + "mean_token_accuracy": 0.23473426401615144, + "num_tokens": 17872050.0, + "step": 8090 + }, + { + "entropy": 5.28236403465271, + "epoch": 8.16036308623298, + "grad_norm": 1.5, + "learning_rate": 9.456966731854089e-05, + "loss": 4.474, + "mean_token_accuracy": 0.23405540585517884, + "num_tokens": 17883535.0, + "step": 8095 + }, + { + "entropy": 5.271676158905029, + "epoch": 8.16540595057993, + "grad_norm": 1.4609375, + "learning_rate": 9.43329633069013e-05, + "loss": 4.5007, + "mean_token_accuracy": 0.23558154404163362, + "num_tokens": 17893581.0, + "step": 8100 + }, + { + "entropy": 5.334139204025268, + "epoch": 8.170448814926878, + "grad_norm": 1.5078125, + "learning_rate": 9.409682081257947e-05, + "loss": 4.4786, + "mean_token_accuracy": 0.23805191218852997, + "num_tokens": 17904428.0, + "step": 8105 + }, + { + "entropy": 5.278112745285034, + "epoch": 8.175491679273827, + "grad_norm": 1.484375, + "learning_rate": 9.386124056951154e-05, + "loss": 4.4927, + "mean_token_accuracy": 0.22673436254262924, + "num_tokens": 17914980.0, + "step": 8110 + }, + { + "entropy": 5.326941251754761, + "epoch": 8.180534543620777, + "grad_norm": 1.5390625, + "learning_rate": 9.362622330988641e-05, + "loss": 4.5306, + "mean_token_accuracy": 0.23037047386169435, + "num_tokens": 17926911.0, + "step": 8115 + }, + { + "entropy": 5.291370487213134, + "epoch": 8.185577407967726, + "grad_norm": 1.4765625, + "learning_rate": 9.339176976414317e-05, + "loss": 4.4902, + "mean_token_accuracy": 0.22969938963651657, + "num_tokens": 17939155.0, + "step": 8120 + }, + { + "entropy": 5.331668901443481, + "epoch": 8.190620272314675, + "grad_norm": 1.5078125, + "learning_rate": 9.315788066096892e-05, + "loss": 4.5721, + "mean_token_accuracy": 0.23044044971466066, + "num_tokens": 17950325.0, + "step": 8125 + }, + { + "entropy": 5.289478731155396, + "epoch": 8.195663136661624, + "grad_norm": 1.34375, + "learning_rate": 9.292455672729619e-05, + "loss": 4.5035, + "mean_token_accuracy": 0.22878214567899705, + "num_tokens": 17960735.0, + "step": 8130 + }, + { + "entropy": 5.315530443191529, + "epoch": 8.200706001008573, + "grad_norm": 1.359375, + "learning_rate": 9.269179868830135e-05, + "loss": 4.5474, + "mean_token_accuracy": 0.22475713044404982, + "num_tokens": 17971559.0, + "step": 8135 + }, + { + "entropy": 5.339377117156983, + "epoch": 8.205748865355522, + "grad_norm": 1.515625, + "learning_rate": 9.24596072674016e-05, + "loss": 4.5329, + "mean_token_accuracy": 0.23661800622940063, + "num_tokens": 17982572.0, + "step": 8140 + }, + { + "entropy": 5.3472589492797855, + "epoch": 8.210791729702471, + "grad_norm": 1.2265625, + "learning_rate": 9.222798318625327e-05, + "loss": 4.4697, + "mean_token_accuracy": 0.23767152130603791, + "num_tokens": 17994023.0, + "step": 8145 + }, + { + "entropy": 5.247767305374145, + "epoch": 8.21583459404942, + "grad_norm": 1.4765625, + "learning_rate": 9.19969271647494e-05, + "loss": 4.4562, + "mean_token_accuracy": 0.2356335386633873, + "num_tokens": 18006238.0, + "step": 8150 + }, + { + "entropy": 5.295353889465332, + "epoch": 8.22087745839637, + "grad_norm": 1.4453125, + "learning_rate": 9.176643992101749e-05, + "loss": 4.5228, + "mean_token_accuracy": 0.23788602501153946, + "num_tokens": 18017512.0, + "step": 8155 + }, + { + "entropy": 5.275677919387817, + "epoch": 8.225920322743319, + "grad_norm": 1.7109375, + "learning_rate": 9.153652217141703e-05, + "loss": 4.4099, + "mean_token_accuracy": 0.2341581955552101, + "num_tokens": 18028336.0, + "step": 8160 + }, + { + "entropy": 5.267184495925903, + "epoch": 8.230963187090268, + "grad_norm": 1.4140625, + "learning_rate": 9.130717463053787e-05, + "loss": 4.4483, + "mean_token_accuracy": 0.22836686670780182, + "num_tokens": 18038656.0, + "step": 8165 + }, + { + "entropy": 5.278770303726196, + "epoch": 8.236006051437217, + "grad_norm": 1.4609375, + "learning_rate": 9.10783980111973e-05, + "loss": 4.5617, + "mean_token_accuracy": 0.22440724819898605, + "num_tokens": 18049485.0, + "step": 8170 + }, + { + "entropy": 5.271354532241821, + "epoch": 8.241048915784166, + "grad_norm": 1.375, + "learning_rate": 9.085019302443842e-05, + "loss": 4.5606, + "mean_token_accuracy": 0.2304358407855034, + "num_tokens": 18060653.0, + "step": 8175 + }, + { + "entropy": 5.380328702926636, + "epoch": 8.246091780131115, + "grad_norm": 1.453125, + "learning_rate": 9.062256037952757e-05, + "loss": 4.5896, + "mean_token_accuracy": 0.22865317463874818, + "num_tokens": 18072292.0, + "step": 8180 + }, + { + "entropy": 5.304055833816529, + "epoch": 8.251134644478064, + "grad_norm": 1.390625, + "learning_rate": 9.039550078395234e-05, + "loss": 4.5009, + "mean_token_accuracy": 0.23551645874977112, + "num_tokens": 18084308.0, + "step": 8185 + }, + { + "entropy": 5.268698740005493, + "epoch": 8.256177508825013, + "grad_norm": 1.4375, + "learning_rate": 9.016901494341906e-05, + "loss": 4.41, + "mean_token_accuracy": 0.2378571793437004, + "num_tokens": 18094794.0, + "step": 8190 + }, + { + "entropy": 5.349025106430053, + "epoch": 8.261220373171962, + "grad_norm": 1.359375, + "learning_rate": 8.994310356185098e-05, + "loss": 4.5583, + "mean_token_accuracy": 0.22680319100618362, + "num_tokens": 18105766.0, + "step": 8195 + }, + { + "entropy": 5.306898689270019, + "epoch": 8.266263237518912, + "grad_norm": 1.3046875, + "learning_rate": 8.971776734138601e-05, + "loss": 4.5023, + "mean_token_accuracy": 0.23448747247457505, + "num_tokens": 18117294.0, + "step": 8200 + }, + { + "entropy": 5.274191951751709, + "epoch": 8.27130610186586, + "grad_norm": 1.3828125, + "learning_rate": 8.949300698237414e-05, + "loss": 4.4918, + "mean_token_accuracy": 0.23784505128860473, + "num_tokens": 18128204.0, + "step": 8205 + }, + { + "entropy": 5.292112970352173, + "epoch": 8.276348966212808, + "grad_norm": 1.328125, + "learning_rate": 8.926882318337586e-05, + "loss": 4.5383, + "mean_token_accuracy": 0.23145176768302916, + "num_tokens": 18140531.0, + "step": 8210 + }, + { + "entropy": 5.270181465148926, + "epoch": 8.281391830559757, + "grad_norm": 1.4140625, + "learning_rate": 8.904521664115956e-05, + "loss": 4.4315, + "mean_token_accuracy": 0.2391411155462265, + "num_tokens": 18150620.0, + "step": 8215 + }, + { + "entropy": 5.399681901931762, + "epoch": 8.286434694906706, + "grad_norm": 1.6171875, + "learning_rate": 8.882218805069958e-05, + "loss": 4.5765, + "mean_token_accuracy": 0.22955839782953263, + "num_tokens": 18161636.0, + "step": 8220 + }, + { + "entropy": 5.335456800460816, + "epoch": 8.291477559253655, + "grad_norm": 1.578125, + "learning_rate": 8.859973810517383e-05, + "loss": 4.524, + "mean_token_accuracy": 0.23283907473087312, + "num_tokens": 18172160.0, + "step": 8225 + }, + { + "entropy": 5.359493827819824, + "epoch": 8.296520423600604, + "grad_norm": 1.4765625, + "learning_rate": 8.8377867495962e-05, + "loss": 4.453, + "mean_token_accuracy": 0.23759755343198777, + "num_tokens": 18182512.0, + "step": 8230 + }, + { + "entropy": 5.251506376266479, + "epoch": 8.301563287947554, + "grad_norm": 1.6796875, + "learning_rate": 8.815657691264288e-05, + "loss": 4.4524, + "mean_token_accuracy": 0.23561065196990966, + "num_tokens": 18192506.0, + "step": 8235 + }, + { + "entropy": 5.384594917297363, + "epoch": 8.306606152294503, + "grad_norm": 1.25, + "learning_rate": 8.793586704299284e-05, + "loss": 4.4963, + "mean_token_accuracy": 0.23566225171089172, + "num_tokens": 18204450.0, + "step": 8240 + }, + { + "entropy": 5.351549339294434, + "epoch": 8.311649016641452, + "grad_norm": 1.5, + "learning_rate": 8.77157385729832e-05, + "loss": 4.5146, + "mean_token_accuracy": 0.23212123811244964, + "num_tokens": 18215258.0, + "step": 8245 + }, + { + "entropy": 5.2661947250366214, + "epoch": 8.316691880988401, + "grad_norm": 1.3125, + "learning_rate": 8.749619218677842e-05, + "loss": 4.4961, + "mean_token_accuracy": 0.22762379348278045, + "num_tokens": 18226321.0, + "step": 8250 + }, + { + "entropy": 5.307701349258423, + "epoch": 8.32173474533535, + "grad_norm": 1.609375, + "learning_rate": 8.727722856673357e-05, + "loss": 4.5269, + "mean_token_accuracy": 0.2295282930135727, + "num_tokens": 18236639.0, + "step": 8255 + }, + { + "entropy": 5.285016107559204, + "epoch": 8.3267776096823, + "grad_norm": 1.46875, + "learning_rate": 8.705884839339279e-05, + "loss": 4.4804, + "mean_token_accuracy": 0.2369121178984642, + "num_tokens": 18248753.0, + "step": 8260 + }, + { + "entropy": 5.279603385925293, + "epoch": 8.331820474029248, + "grad_norm": 1.3515625, + "learning_rate": 8.684105234548658e-05, + "loss": 4.5201, + "mean_token_accuracy": 0.22874957621097564, + "num_tokens": 18261692.0, + "step": 8265 + }, + { + "entropy": 5.3035482406616214, + "epoch": 8.336863338376197, + "grad_norm": 1.6796875, + "learning_rate": 8.66238410999301e-05, + "loss": 4.544, + "mean_token_accuracy": 0.22817300856113434, + "num_tokens": 18272650.0, + "step": 8270 + }, + { + "entropy": 5.334586095809937, + "epoch": 8.341906202723147, + "grad_norm": 1.5390625, + "learning_rate": 8.640721533182092e-05, + "loss": 4.5217, + "mean_token_accuracy": 0.2339993894100189, + "num_tokens": 18282929.0, + "step": 8275 + }, + { + "entropy": 5.4010186195373535, + "epoch": 8.346949067070096, + "grad_norm": 1.3984375, + "learning_rate": 8.619117571443702e-05, + "loss": 4.6817, + "mean_token_accuracy": 0.2223025307059288, + "num_tokens": 18295444.0, + "step": 8280 + }, + { + "entropy": 5.233229064941407, + "epoch": 8.351991931417045, + "grad_norm": 1.5234375, + "learning_rate": 8.597572291923438e-05, + "loss": 4.4539, + "mean_token_accuracy": 0.2277043879032135, + "num_tokens": 18305657.0, + "step": 8285 + }, + { + "entropy": 5.306624221801758, + "epoch": 8.357034795763994, + "grad_norm": 1.375, + "learning_rate": 8.576085761584534e-05, + "loss": 4.4761, + "mean_token_accuracy": 0.23428357094526292, + "num_tokens": 18316184.0, + "step": 8290 + }, + { + "entropy": 5.342684125900268, + "epoch": 8.362077660110943, + "grad_norm": 1.4609375, + "learning_rate": 8.554658047207616e-05, + "loss": 4.5215, + "mean_token_accuracy": 0.23468310236930848, + "num_tokens": 18327016.0, + "step": 8295 + }, + { + "entropy": 5.316476726531983, + "epoch": 8.367120524457892, + "grad_norm": 1.46875, + "learning_rate": 8.533289215390516e-05, + "loss": 4.4722, + "mean_token_accuracy": 0.23727608919143678, + "num_tokens": 18338590.0, + "step": 8300 + }, + { + "entropy": 5.351222085952759, + "epoch": 8.372163388804841, + "grad_norm": 1.5546875, + "learning_rate": 8.51197933254806e-05, + "loss": 4.547, + "mean_token_accuracy": 0.23105552792549133, + "num_tokens": 18349866.0, + "step": 8305 + }, + { + "entropy": 5.312223625183106, + "epoch": 8.37720625315179, + "grad_norm": 1.4453125, + "learning_rate": 8.490728464911849e-05, + "loss": 4.4871, + "mean_token_accuracy": 0.2325897753238678, + "num_tokens": 18360594.0, + "step": 8310 + }, + { + "entropy": 5.294418430328369, + "epoch": 8.38224911749874, + "grad_norm": 1.5078125, + "learning_rate": 8.469536678530085e-05, + "loss": 4.5532, + "mean_token_accuracy": 0.22960570603609085, + "num_tokens": 18372559.0, + "step": 8315 + }, + { + "entropy": 5.293284893035889, + "epoch": 8.387291981845689, + "grad_norm": 1.75, + "learning_rate": 8.448404039267308e-05, + "loss": 4.5321, + "mean_token_accuracy": 0.22591764479875565, + "num_tokens": 18382854.0, + "step": 8320 + }, + { + "entropy": 5.2511608600616455, + "epoch": 8.392334846192638, + "grad_norm": 1.4921875, + "learning_rate": 8.427330612804266e-05, + "loss": 4.5163, + "mean_token_accuracy": 0.229783333837986, + "num_tokens": 18394346.0, + "step": 8325 + }, + { + "entropy": 5.233087253570557, + "epoch": 8.397377710539587, + "grad_norm": 1.2734375, + "learning_rate": 8.406316464637639e-05, + "loss": 4.4883, + "mean_token_accuracy": 0.23750038892030717, + "num_tokens": 18406353.0, + "step": 8330 + }, + { + "entropy": 5.32005090713501, + "epoch": 8.402420574886536, + "grad_norm": 1.4765625, + "learning_rate": 8.385361660079896e-05, + "loss": 4.504, + "mean_token_accuracy": 0.23628456443548201, + "num_tokens": 18416834.0, + "step": 8335 + }, + { + "entropy": 5.258664274215699, + "epoch": 8.407463439233485, + "grad_norm": 1.4296875, + "learning_rate": 8.364466264259046e-05, + "loss": 4.4532, + "mean_token_accuracy": 0.23306116312742234, + "num_tokens": 18426925.0, + "step": 8340 + }, + { + "entropy": 5.300839614868164, + "epoch": 8.412506303580434, + "grad_norm": 1.65625, + "learning_rate": 8.343630342118471e-05, + "loss": 4.4813, + "mean_token_accuracy": 0.23733390271663665, + "num_tokens": 18437102.0, + "step": 8345 + }, + { + "entropy": 5.277389287948608, + "epoch": 8.417549167927383, + "grad_norm": 1.4609375, + "learning_rate": 8.322853958416685e-05, + "loss": 4.4765, + "mean_token_accuracy": 0.23388835042715073, + "num_tokens": 18448175.0, + "step": 8350 + }, + { + "entropy": 5.312002801895142, + "epoch": 8.422592032274332, + "grad_norm": 1.5, + "learning_rate": 8.30213717772718e-05, + "loss": 4.4706, + "mean_token_accuracy": 0.23043503761291503, + "num_tokens": 18458783.0, + "step": 8355 + }, + { + "entropy": 5.257656860351562, + "epoch": 8.427634896621282, + "grad_norm": 1.4375, + "learning_rate": 8.281480064438176e-05, + "loss": 4.4822, + "mean_token_accuracy": 0.2296173691749573, + "num_tokens": 18468682.0, + "step": 8360 + }, + { + "entropy": 5.312533378601074, + "epoch": 8.43267776096823, + "grad_norm": 1.34375, + "learning_rate": 8.260882682752464e-05, + "loss": 4.5333, + "mean_token_accuracy": 0.23024211972951888, + "num_tokens": 18479463.0, + "step": 8365 + }, + { + "entropy": 5.299008989334107, + "epoch": 8.43772062531518, + "grad_norm": 1.40625, + "learning_rate": 8.24034509668718e-05, + "loss": 4.4983, + "mean_token_accuracy": 0.23724039793014526, + "num_tokens": 18489950.0, + "step": 8370 + }, + { + "entropy": 5.243077754974365, + "epoch": 8.442763489662129, + "grad_norm": 1.4609375, + "learning_rate": 8.219867370073623e-05, + "loss": 4.4583, + "mean_token_accuracy": 0.23545053452253342, + "num_tokens": 18500595.0, + "step": 8375 + }, + { + "entropy": 5.265069961547852, + "epoch": 8.447806354009078, + "grad_norm": 1.4140625, + "learning_rate": 8.199449566557029e-05, + "loss": 4.497, + "mean_token_accuracy": 0.2314571261405945, + "num_tokens": 18512528.0, + "step": 8380 + }, + { + "entropy": 5.324420356750489, + "epoch": 8.452849218356025, + "grad_norm": 1.3984375, + "learning_rate": 8.179091749596409e-05, + "loss": 4.5199, + "mean_token_accuracy": 0.23473057597875596, + "num_tokens": 18523270.0, + "step": 8385 + }, + { + "entropy": 5.261176633834839, + "epoch": 8.457892082702974, + "grad_norm": 1.6640625, + "learning_rate": 8.158793982464322e-05, + "loss": 4.4809, + "mean_token_accuracy": 0.23331398367881775, + "num_tokens": 18533383.0, + "step": 8390 + }, + { + "entropy": 5.266073417663574, + "epoch": 8.462934947049924, + "grad_norm": 1.609375, + "learning_rate": 8.138556328246698e-05, + "loss": 4.4678, + "mean_token_accuracy": 0.23248778730630876, + "num_tokens": 18544150.0, + "step": 8395 + }, + { + "entropy": 5.2653038024902346, + "epoch": 8.467977811396873, + "grad_norm": 1.5, + "learning_rate": 8.118378849842634e-05, + "loss": 4.4361, + "mean_token_accuracy": 0.2333231285214424, + "num_tokens": 18553926.0, + "step": 8400 + }, + { + "entropy": 5.248916244506836, + "epoch": 8.473020675743822, + "grad_norm": 1.6875, + "learning_rate": 8.098261609964204e-05, + "loss": 4.4416, + "mean_token_accuracy": 0.24457066655158996, + "num_tokens": 18565059.0, + "step": 8405 + }, + { + "entropy": 5.322198677062988, + "epoch": 8.478063540090771, + "grad_norm": 1.40625, + "learning_rate": 8.078204671136245e-05, + "loss": 4.5108, + "mean_token_accuracy": 0.2332134246826172, + "num_tokens": 18575745.0, + "step": 8410 + }, + { + "entropy": 5.245360279083252, + "epoch": 8.48310640443772, + "grad_norm": 1.53125, + "learning_rate": 8.05820809569619e-05, + "loss": 4.5098, + "mean_token_accuracy": 0.23305716663599013, + "num_tokens": 18587085.0, + "step": 8415 + }, + { + "entropy": 5.293680715560913, + "epoch": 8.48814926878467, + "grad_norm": 1.671875, + "learning_rate": 8.03827194579386e-05, + "loss": 4.5137, + "mean_token_accuracy": 0.23276715725660324, + "num_tokens": 18597783.0, + "step": 8420 + }, + { + "entropy": 5.3004865646362305, + "epoch": 8.493192133131618, + "grad_norm": 1.7109375, + "learning_rate": 8.01839628339126e-05, + "loss": 4.5138, + "mean_token_accuracy": 0.2324001356959343, + "num_tokens": 18607739.0, + "step": 8425 + }, + { + "entropy": 5.242777490615845, + "epoch": 8.498234997478567, + "grad_norm": 1.484375, + "learning_rate": 7.998581170262412e-05, + "loss": 4.4228, + "mean_token_accuracy": 0.24315861314535142, + "num_tokens": 18618901.0, + "step": 8430 + }, + { + "entropy": 5.276698350906372, + "epoch": 8.503277861825516, + "grad_norm": 1.6640625, + "learning_rate": 7.978826667993141e-05, + "loss": 4.4285, + "mean_token_accuracy": 0.24131007492542267, + "num_tokens": 18629999.0, + "step": 8435 + }, + { + "entropy": 5.3042291641235355, + "epoch": 8.508320726172466, + "grad_norm": 1.453125, + "learning_rate": 7.95913283798091e-05, + "loss": 4.5231, + "mean_token_accuracy": 0.23291281163692473, + "num_tokens": 18640972.0, + "step": 8440 + }, + { + "entropy": 5.281155252456665, + "epoch": 8.513363590519415, + "grad_norm": 1.609375, + "learning_rate": 7.93949974143458e-05, + "loss": 4.5308, + "mean_token_accuracy": 0.2334082007408142, + "num_tokens": 18652089.0, + "step": 8445 + }, + { + "entropy": 5.313658142089844, + "epoch": 8.518406454866364, + "grad_norm": 1.4609375, + "learning_rate": 7.919927439374278e-05, + "loss": 4.5186, + "mean_token_accuracy": 0.2355954557657242, + "num_tokens": 18664336.0, + "step": 8450 + }, + { + "entropy": 5.342383480072021, + "epoch": 8.523449319213313, + "grad_norm": 1.6484375, + "learning_rate": 7.900415992631162e-05, + "loss": 4.5538, + "mean_token_accuracy": 0.22404027879238128, + "num_tokens": 18675871.0, + "step": 8455 + }, + { + "entropy": 5.407930755615235, + "epoch": 8.528492183560262, + "grad_norm": 1.4375, + "learning_rate": 7.880965461847261e-05, + "loss": 4.6151, + "mean_token_accuracy": 0.219925756752491, + "num_tokens": 18687705.0, + "step": 8460 + }, + { + "entropy": 5.295460653305054, + "epoch": 8.533535047907211, + "grad_norm": 1.4296875, + "learning_rate": 7.86157590747528e-05, + "loss": 4.4523, + "mean_token_accuracy": 0.236220383644104, + "num_tokens": 18698591.0, + "step": 8465 + }, + { + "entropy": 5.264258956909179, + "epoch": 8.53857791225416, + "grad_norm": 1.3984375, + "learning_rate": 7.8422473897784e-05, + "loss": 4.4208, + "mean_token_accuracy": 0.24071386009454726, + "num_tokens": 18709332.0, + "step": 8470 + }, + { + "entropy": 5.275606918334961, + "epoch": 8.54362077660111, + "grad_norm": 1.5078125, + "learning_rate": 7.822979968830089e-05, + "loss": 4.4735, + "mean_token_accuracy": 0.23402749449014665, + "num_tokens": 18719666.0, + "step": 8475 + }, + { + "entropy": 5.259400749206543, + "epoch": 8.548663640948059, + "grad_norm": 1.6015625, + "learning_rate": 7.803773704513953e-05, + "loss": 4.4646, + "mean_token_accuracy": 0.23901665210723877, + "num_tokens": 18730409.0, + "step": 8480 + }, + { + "entropy": 5.392308330535888, + "epoch": 8.553706505295008, + "grad_norm": 1.171875, + "learning_rate": 7.784628656523488e-05, + "loss": 4.6183, + "mean_token_accuracy": 0.2157907411456108, + "num_tokens": 18742813.0, + "step": 8485 + }, + { + "entropy": 5.321148681640625, + "epoch": 8.558749369641957, + "grad_norm": 1.5390625, + "learning_rate": 7.76554488436195e-05, + "loss": 4.4834, + "mean_token_accuracy": 0.2345925435423851, + "num_tokens": 18752597.0, + "step": 8490 + }, + { + "entropy": 5.328701448440552, + "epoch": 8.563792233988906, + "grad_norm": 1.5078125, + "learning_rate": 7.746522447342148e-05, + "loss": 4.5765, + "mean_token_accuracy": 0.22592092901468278, + "num_tokens": 18763689.0, + "step": 8495 + }, + { + "entropy": 5.318694591522217, + "epoch": 8.568835098335855, + "grad_norm": 1.296875, + "learning_rate": 7.727561404586255e-05, + "loss": 4.548, + "mean_token_accuracy": 0.22818632274866105, + "num_tokens": 18776040.0, + "step": 8500 + }, + { + "entropy": 5.3434923648834225, + "epoch": 8.573877962682804, + "grad_norm": 1.3203125, + "learning_rate": 7.708661815025619e-05, + "loss": 4.5638, + "mean_token_accuracy": 0.2255337953567505, + "num_tokens": 18788360.0, + "step": 8505 + }, + { + "entropy": 5.257844591140747, + "epoch": 8.578920827029753, + "grad_norm": 1.5859375, + "learning_rate": 7.689823737400617e-05, + "loss": 4.4823, + "mean_token_accuracy": 0.23594810962677001, + "num_tokens": 18798376.0, + "step": 8510 + }, + { + "entropy": 5.27258267402649, + "epoch": 8.583963691376702, + "grad_norm": 1.671875, + "learning_rate": 7.671047230260412e-05, + "loss": 4.5, + "mean_token_accuracy": 0.23658222258090972, + "num_tokens": 18808569.0, + "step": 8515 + }, + { + "entropy": 5.304236602783203, + "epoch": 8.589006555723651, + "grad_norm": 1.5546875, + "learning_rate": 7.652332351962836e-05, + "loss": 4.4643, + "mean_token_accuracy": 0.24131463915109636, + "num_tokens": 18819174.0, + "step": 8520 + }, + { + "entropy": 5.276138877868652, + "epoch": 8.5940494200706, + "grad_norm": 1.6796875, + "learning_rate": 7.633679160674144e-05, + "loss": 4.5277, + "mean_token_accuracy": 0.22473191022872924, + "num_tokens": 18829290.0, + "step": 8525 + }, + { + "entropy": 5.3269078731536865, + "epoch": 8.59909228441755, + "grad_norm": 1.3046875, + "learning_rate": 7.615087714368902e-05, + "loss": 4.5969, + "mean_token_accuracy": 0.22671930193901063, + "num_tokens": 18840955.0, + "step": 8530 + }, + { + "entropy": 5.34106297492981, + "epoch": 8.604135148764499, + "grad_norm": 1.5625, + "learning_rate": 7.59655807082975e-05, + "loss": 4.5553, + "mean_token_accuracy": 0.22253625243902206, + "num_tokens": 18852412.0, + "step": 8535 + }, + { + "entropy": 5.321465587615966, + "epoch": 8.609178013111448, + "grad_norm": 1.4140625, + "learning_rate": 7.578090287647242e-05, + "loss": 4.5033, + "mean_token_accuracy": 0.22978213280439377, + "num_tokens": 18863714.0, + "step": 8540 + }, + { + "entropy": 5.368106508255005, + "epoch": 8.614220877458397, + "grad_norm": 1.8828125, + "learning_rate": 7.559684422219683e-05, + "loss": 4.5992, + "mean_token_accuracy": 0.22771378606557846, + "num_tokens": 18873983.0, + "step": 8545 + }, + { + "entropy": 5.3533501625061035, + "epoch": 8.619263741805346, + "grad_norm": 1.4296875, + "learning_rate": 7.541340531752916e-05, + "loss": 4.5636, + "mean_token_accuracy": 0.22821784168481826, + "num_tokens": 18884642.0, + "step": 8550 + }, + { + "entropy": 5.343221282958984, + "epoch": 8.624306606152295, + "grad_norm": 1.2734375, + "learning_rate": 7.523058673260183e-05, + "loss": 4.5578, + "mean_token_accuracy": 0.24092118591070175, + "num_tokens": 18896390.0, + "step": 8555 + }, + { + "entropy": 5.324822425842285, + "epoch": 8.629349470499244, + "grad_norm": 1.53125, + "learning_rate": 7.50483890356192e-05, + "loss": 4.4797, + "mean_token_accuracy": 0.2324287012219429, + "num_tokens": 18907826.0, + "step": 8560 + }, + { + "entropy": 5.286958122253418, + "epoch": 8.634392334846194, + "grad_norm": 1.53125, + "learning_rate": 7.486681279285598e-05, + "loss": 4.488, + "mean_token_accuracy": 0.2255399540066719, + "num_tokens": 18919301.0, + "step": 8565 + }, + { + "entropy": 5.33275842666626, + "epoch": 8.63943519919314, + "grad_norm": 1.546875, + "learning_rate": 7.468585856865522e-05, + "loss": 4.5454, + "mean_token_accuracy": 0.23188870996236802, + "num_tokens": 18931420.0, + "step": 8570 + }, + { + "entropy": 5.269180011749268, + "epoch": 8.64447806354009, + "grad_norm": 1.609375, + "learning_rate": 7.45055269254269e-05, + "loss": 4.5248, + "mean_token_accuracy": 0.22961635291576385, + "num_tokens": 18941729.0, + "step": 8575 + }, + { + "entropy": 5.251134538650513, + "epoch": 8.649520927887039, + "grad_norm": 1.53125, + "learning_rate": 7.432581842364585e-05, + "loss": 4.4923, + "mean_token_accuracy": 0.23362307250499725, + "num_tokens": 18952805.0, + "step": 8580 + }, + { + "entropy": 5.2673015117645265, + "epoch": 8.654563792233988, + "grad_norm": 1.3359375, + "learning_rate": 7.414673362185031e-05, + "loss": 4.4782, + "mean_token_accuracy": 0.23471748530864717, + "num_tokens": 18964504.0, + "step": 8585 + }, + { + "entropy": 5.306528997421265, + "epoch": 8.659606656580937, + "grad_norm": 1.59375, + "learning_rate": 7.396827307663988e-05, + "loss": 4.493, + "mean_token_accuracy": 0.22945980131626129, + "num_tokens": 18975116.0, + "step": 8590 + }, + { + "entropy": 5.304362821578979, + "epoch": 8.664649520927886, + "grad_norm": 1.484375, + "learning_rate": 7.379043734267421e-05, + "loss": 4.4784, + "mean_token_accuracy": 0.23771397322416304, + "num_tokens": 18988403.0, + "step": 8595 + }, + { + "entropy": 5.275615501403808, + "epoch": 8.669692385274836, + "grad_norm": 1.3828125, + "learning_rate": 7.36132269726707e-05, + "loss": 4.4779, + "mean_token_accuracy": 0.2351328730583191, + "num_tokens": 18999419.0, + "step": 8600 + }, + { + "entropy": 5.342744779586792, + "epoch": 8.674735249621785, + "grad_norm": 1.3359375, + "learning_rate": 7.343664251740342e-05, + "loss": 4.5298, + "mean_token_accuracy": 0.23637136667966843, + "num_tokens": 19010937.0, + "step": 8605 + }, + { + "entropy": 5.324830532073975, + "epoch": 8.679778113968734, + "grad_norm": 1.484375, + "learning_rate": 7.326068452570078e-05, + "loss": 4.5634, + "mean_token_accuracy": 0.22985844016075135, + "num_tokens": 19021795.0, + "step": 8610 + }, + { + "entropy": 5.356618452072143, + "epoch": 8.684820978315683, + "grad_norm": 1.5625, + "learning_rate": 7.30853535444444e-05, + "loss": 4.5517, + "mean_token_accuracy": 0.22684661895036698, + "num_tokens": 19032113.0, + "step": 8615 + }, + { + "entropy": 5.300921773910522, + "epoch": 8.689863842662632, + "grad_norm": 1.3046875, + "learning_rate": 7.29106501185669e-05, + "loss": 4.4835, + "mean_token_accuracy": 0.2376304477453232, + "num_tokens": 19042907.0, + "step": 8620 + }, + { + "entropy": 5.30126805305481, + "epoch": 8.694906707009581, + "grad_norm": 1.4609375, + "learning_rate": 7.273657479105068e-05, + "loss": 4.4718, + "mean_token_accuracy": 0.2370639830827713, + "num_tokens": 19055121.0, + "step": 8625 + }, + { + "entropy": 5.336139726638794, + "epoch": 8.69994957135653, + "grad_norm": 1.265625, + "learning_rate": 7.256312810292576e-05, + "loss": 4.5569, + "mean_token_accuracy": 0.2303478941321373, + "num_tokens": 19066122.0, + "step": 8630 + }, + { + "entropy": 5.312874603271484, + "epoch": 8.70499243570348, + "grad_norm": 1.5703125, + "learning_rate": 7.23903105932685e-05, + "loss": 4.5027, + "mean_token_accuracy": 0.23334299325942992, + "num_tokens": 19076323.0, + "step": 8635 + }, + { + "entropy": 5.302890825271606, + "epoch": 8.710035300050428, + "grad_norm": 1.4375, + "learning_rate": 7.221812279919978e-05, + "loss": 4.5541, + "mean_token_accuracy": 0.22323421537876129, + "num_tokens": 19087388.0, + "step": 8640 + }, + { + "entropy": 5.308963584899902, + "epoch": 8.715078164397378, + "grad_norm": 1.265625, + "learning_rate": 7.20465652558831e-05, + "loss": 4.5445, + "mean_token_accuracy": 0.22574720084667205, + "num_tokens": 19099285.0, + "step": 8645 + }, + { + "entropy": 5.266109275817871, + "epoch": 8.720121028744327, + "grad_norm": 1.546875, + "learning_rate": 7.187563849652332e-05, + "loss": 4.4437, + "mean_token_accuracy": 0.23504291027784346, + "num_tokens": 19110139.0, + "step": 8650 + }, + { + "entropy": 5.248180294036866, + "epoch": 8.725163893091276, + "grad_norm": 1.4375, + "learning_rate": 7.170534305236479e-05, + "loss": 4.436, + "mean_token_accuracy": 0.2381614163517952, + "num_tokens": 19120052.0, + "step": 8655 + }, + { + "entropy": 5.266572046279907, + "epoch": 8.730206757438225, + "grad_norm": 1.5, + "learning_rate": 7.153567945268963e-05, + "loss": 4.4934, + "mean_token_accuracy": 0.23119783997535706, + "num_tokens": 19130369.0, + "step": 8660 + }, + { + "entropy": 5.306045961380005, + "epoch": 8.735249621785174, + "grad_norm": 1.421875, + "learning_rate": 7.136664822481624e-05, + "loss": 4.5032, + "mean_token_accuracy": 0.2388385772705078, + "num_tokens": 19141126.0, + "step": 8665 + }, + { + "entropy": 5.33194670677185, + "epoch": 8.740292486132123, + "grad_norm": 1.3359375, + "learning_rate": 7.119824989409761e-05, + "loss": 4.5013, + "mean_token_accuracy": 0.223948635160923, + "num_tokens": 19152747.0, + "step": 8670 + }, + { + "entropy": 5.228990936279297, + "epoch": 8.745335350479072, + "grad_norm": 1.25, + "learning_rate": 7.103048498391954e-05, + "loss": 4.4874, + "mean_token_accuracy": 0.2335174173116684, + "num_tokens": 19165872.0, + "step": 8675 + }, + { + "entropy": 5.236190223693848, + "epoch": 8.750378214826021, + "grad_norm": 1.390625, + "learning_rate": 7.086335401569935e-05, + "loss": 4.4203, + "mean_token_accuracy": 0.24982106536626816, + "num_tokens": 19178260.0, + "step": 8680 + }, + { + "entropy": 5.311789512634277, + "epoch": 8.75542107917297, + "grad_norm": 1.375, + "learning_rate": 7.06968575088838e-05, + "loss": 4.4781, + "mean_token_accuracy": 0.23260297179222106, + "num_tokens": 19190091.0, + "step": 8685 + }, + { + "entropy": 5.276892280578613, + "epoch": 8.76046394351992, + "grad_norm": 1.2890625, + "learning_rate": 7.053099598094804e-05, + "loss": 4.5307, + "mean_token_accuracy": 0.2321740746498108, + "num_tokens": 19202142.0, + "step": 8690 + }, + { + "entropy": 5.2927018165588375, + "epoch": 8.765506807866869, + "grad_norm": 1.6171875, + "learning_rate": 7.036576994739343e-05, + "loss": 4.5571, + "mean_token_accuracy": 0.23026391565799714, + "num_tokens": 19212633.0, + "step": 8695 + }, + { + "entropy": 5.284519529342651, + "epoch": 8.770549672213818, + "grad_norm": 1.53125, + "learning_rate": 7.020117992174638e-05, + "loss": 4.5028, + "mean_token_accuracy": 0.23551880270242692, + "num_tokens": 19224366.0, + "step": 8700 + }, + { + "entropy": 5.312050676345825, + "epoch": 8.775592536560767, + "grad_norm": 1.5546875, + "learning_rate": 7.003722641555635e-05, + "loss": 4.4881, + "mean_token_accuracy": 0.23672703504562378, + "num_tokens": 19234414.0, + "step": 8705 + }, + { + "entropy": 5.23953914642334, + "epoch": 8.780635400907716, + "grad_norm": 1.3671875, + "learning_rate": 6.987390993839476e-05, + "loss": 4.4646, + "mean_token_accuracy": 0.23526281714439393, + "num_tokens": 19246202.0, + "step": 8710 + }, + { + "entropy": 5.30919132232666, + "epoch": 8.785678265254665, + "grad_norm": 1.4609375, + "learning_rate": 6.971123099785281e-05, + "loss": 4.5094, + "mean_token_accuracy": 0.23306890279054643, + "num_tokens": 19257965.0, + "step": 8715 + }, + { + "entropy": 5.279756784439087, + "epoch": 8.790721129601614, + "grad_norm": 1.5, + "learning_rate": 6.954919009954061e-05, + "loss": 4.4786, + "mean_token_accuracy": 0.23693467080593109, + "num_tokens": 19267826.0, + "step": 8720 + }, + { + "entropy": 5.321855545043945, + "epoch": 8.795763993948563, + "grad_norm": 1.765625, + "learning_rate": 6.938778774708488e-05, + "loss": 4.5237, + "mean_token_accuracy": 0.23561687916517257, + "num_tokens": 19277601.0, + "step": 8725 + }, + { + "entropy": 5.391119956970215, + "epoch": 8.800806858295513, + "grad_norm": 1.3046875, + "learning_rate": 6.922702444212792e-05, + "loss": 4.6313, + "mean_token_accuracy": 0.2273115411400795, + "num_tokens": 19289298.0, + "step": 8730 + }, + { + "entropy": 5.2665105819702145, + "epoch": 8.805849722642462, + "grad_norm": 1.546875, + "learning_rate": 6.906690068432568e-05, + "loss": 4.5301, + "mean_token_accuracy": 0.2346082553267479, + "num_tokens": 19300866.0, + "step": 8735 + }, + { + "entropy": 5.27437105178833, + "epoch": 8.81089258698941, + "grad_norm": 1.421875, + "learning_rate": 6.89074169713466e-05, + "loss": 4.4645, + "mean_token_accuracy": 0.23380044400691985, + "num_tokens": 19312501.0, + "step": 8740 + }, + { + "entropy": 5.278698348999024, + "epoch": 8.815935451336358, + "grad_norm": 1.6640625, + "learning_rate": 6.87485737988697e-05, + "loss": 4.5251, + "mean_token_accuracy": 0.23017821013927459, + "num_tokens": 19323626.0, + "step": 8745 + }, + { + "entropy": 5.291895723342895, + "epoch": 8.820978315683309, + "grad_norm": 1.46875, + "learning_rate": 6.859037166058323e-05, + "loss": 4.5312, + "mean_token_accuracy": 0.23254506140947342, + "num_tokens": 19334272.0, + "step": 8750 + }, + { + "entropy": 5.2522422790527346, + "epoch": 8.826021180030256, + "grad_norm": 1.4375, + "learning_rate": 6.843281104818313e-05, + "loss": 4.4682, + "mean_token_accuracy": 0.23477549552917482, + "num_tokens": 19343930.0, + "step": 8755 + }, + { + "entropy": 5.2376776218414305, + "epoch": 8.831064044377205, + "grad_norm": 1.46875, + "learning_rate": 6.827589245137135e-05, + "loss": 4.4546, + "mean_token_accuracy": 0.24241788387298585, + "num_tokens": 19354657.0, + "step": 8760 + }, + { + "entropy": 5.286135959625244, + "epoch": 8.836106908724155, + "grad_norm": 1.484375, + "learning_rate": 6.811961635785456e-05, + "loss": 4.4952, + "mean_token_accuracy": 0.231307552754879, + "num_tokens": 19365102.0, + "step": 8765 + }, + { + "entropy": 5.25306510925293, + "epoch": 8.841149773071104, + "grad_norm": 1.5, + "learning_rate": 6.796398325334238e-05, + "loss": 4.4711, + "mean_token_accuracy": 0.24227968752384185, + "num_tokens": 19374882.0, + "step": 8770 + }, + { + "entropy": 5.284982585906983, + "epoch": 8.846192637418053, + "grad_norm": 1.6640625, + "learning_rate": 6.78089936215462e-05, + "loss": 4.4822, + "mean_token_accuracy": 0.23674449771642686, + "num_tokens": 19386072.0, + "step": 8775 + }, + { + "entropy": 5.276415538787842, + "epoch": 8.851235501765002, + "grad_norm": 1.703125, + "learning_rate": 6.765464794417723e-05, + "loss": 4.5341, + "mean_token_accuracy": 0.23272081464529037, + "num_tokens": 19396714.0, + "step": 8780 + }, + { + "entropy": 5.3086615085601805, + "epoch": 8.856278366111951, + "grad_norm": 1.375, + "learning_rate": 6.750094670094558e-05, + "loss": 4.5127, + "mean_token_accuracy": 0.23166706115007402, + "num_tokens": 19409496.0, + "step": 8785 + }, + { + "entropy": 5.295808935165406, + "epoch": 8.8613212304589, + "grad_norm": 1.53125, + "learning_rate": 6.734789036955813e-05, + "loss": 4.5161, + "mean_token_accuracy": 0.23285092413425446, + "num_tokens": 19421434.0, + "step": 8790 + }, + { + "entropy": 5.316428279876709, + "epoch": 8.86636409480585, + "grad_norm": 1.4609375, + "learning_rate": 6.719547942571755e-05, + "loss": 4.477, + "mean_token_accuracy": 0.2387639284133911, + "num_tokens": 19432382.0, + "step": 8795 + }, + { + "entropy": 5.278701257705689, + "epoch": 8.871406959152798, + "grad_norm": 1.3671875, + "learning_rate": 6.704371434312048e-05, + "loss": 4.4881, + "mean_token_accuracy": 0.22520668506622316, + "num_tokens": 19443310.0, + "step": 8800 + }, + { + "entropy": 5.289896249771118, + "epoch": 8.876449823499748, + "grad_norm": 1.5859375, + "learning_rate": 6.689259559345641e-05, + "loss": 4.4632, + "mean_token_accuracy": 0.23373768627643585, + "num_tokens": 19453687.0, + "step": 8805 + }, + { + "entropy": 5.26581654548645, + "epoch": 8.881492687846697, + "grad_norm": 1.2265625, + "learning_rate": 6.674212364640577e-05, + "loss": 4.4841, + "mean_token_accuracy": 0.233455191552639, + "num_tokens": 19465004.0, + "step": 8810 + }, + { + "entropy": 5.262102317810059, + "epoch": 8.886535552193646, + "grad_norm": 1.359375, + "learning_rate": 6.659229896963899e-05, + "loss": 4.4442, + "mean_token_accuracy": 0.23699069619178773, + "num_tokens": 19476197.0, + "step": 8815 + }, + { + "entropy": 5.319294691085815, + "epoch": 8.891578416540595, + "grad_norm": 1.1875, + "learning_rate": 6.644312202881452e-05, + "loss": 4.5454, + "mean_token_accuracy": 0.22858106046915055, + "num_tokens": 19488806.0, + "step": 8820 + }, + { + "entropy": 5.273852252960205, + "epoch": 8.896621280887544, + "grad_norm": 1.46875, + "learning_rate": 6.629459328757781e-05, + "loss": 4.4377, + "mean_token_accuracy": 0.2423676311969757, + "num_tokens": 19498988.0, + "step": 8825 + }, + { + "entropy": 5.2677360534667965, + "epoch": 8.901664145234493, + "grad_norm": 1.171875, + "learning_rate": 6.614671320755953e-05, + "loss": 4.4725, + "mean_token_accuracy": 0.2388597995042801, + "num_tokens": 19509279.0, + "step": 8830 + }, + { + "entropy": 5.27379412651062, + "epoch": 8.906707009581442, + "grad_norm": 1.4609375, + "learning_rate": 6.599948224837446e-05, + "loss": 4.4511, + "mean_token_accuracy": 0.23496011048555374, + "num_tokens": 19521412.0, + "step": 8835 + }, + { + "entropy": 5.28201847076416, + "epoch": 8.911749873928391, + "grad_norm": 1.5625, + "learning_rate": 6.585290086761972e-05, + "loss": 4.534, + "mean_token_accuracy": 0.230691097676754, + "num_tokens": 19530830.0, + "step": 8840 + }, + { + "entropy": 5.322769832611084, + "epoch": 8.91679273827534, + "grad_norm": 1.6953125, + "learning_rate": 6.570696952087368e-05, + "loss": 4.4886, + "mean_token_accuracy": 0.2326028272509575, + "num_tokens": 19541498.0, + "step": 8845 + }, + { + "entropy": 5.280263423919678, + "epoch": 8.92183560262229, + "grad_norm": 1.6015625, + "learning_rate": 6.556168866169435e-05, + "loss": 4.4695, + "mean_token_accuracy": 0.2324089825153351, + "num_tokens": 19550784.0, + "step": 8850 + }, + { + "entropy": 5.270318078994751, + "epoch": 8.926878466969239, + "grad_norm": 1.671875, + "learning_rate": 6.541705874161795e-05, + "loss": 4.4985, + "mean_token_accuracy": 0.23369582742452621, + "num_tokens": 19562327.0, + "step": 8855 + }, + { + "entropy": 5.268936824798584, + "epoch": 8.931921331316188, + "grad_norm": 1.4765625, + "learning_rate": 6.527308021015771e-05, + "loss": 4.4777, + "mean_token_accuracy": 0.23268494457006456, + "num_tokens": 19572771.0, + "step": 8860 + }, + { + "entropy": 5.323892831802368, + "epoch": 8.936964195663137, + "grad_norm": 1.265625, + "learning_rate": 6.512975351480207e-05, + "loss": 4.5529, + "mean_token_accuracy": 0.22748622298240662, + "num_tokens": 19584758.0, + "step": 8865 + }, + { + "entropy": 5.305479860305786, + "epoch": 8.942007060010086, + "grad_norm": 1.359375, + "learning_rate": 6.498707910101383e-05, + "loss": 4.5148, + "mean_token_accuracy": 0.2247389867901802, + "num_tokens": 19596084.0, + "step": 8870 + }, + { + "entropy": 5.30368332862854, + "epoch": 8.947049924357035, + "grad_norm": 1.53125, + "learning_rate": 6.484505741222824e-05, + "loss": 4.5249, + "mean_token_accuracy": 0.23288704752922057, + "num_tokens": 19607639.0, + "step": 8875 + }, + { + "entropy": 5.264232444763183, + "epoch": 8.952092788703984, + "grad_norm": 1.4375, + "learning_rate": 6.470368888985215e-05, + "loss": 4.5503, + "mean_token_accuracy": 0.22826409637928008, + "num_tokens": 19619518.0, + "step": 8880 + }, + { + "entropy": 5.299907207489014, + "epoch": 8.957135653050933, + "grad_norm": 1.4453125, + "learning_rate": 6.456297397326202e-05, + "loss": 4.4725, + "mean_token_accuracy": 0.2371431216597557, + "num_tokens": 19631296.0, + "step": 8885 + }, + { + "entropy": 5.274386548995972, + "epoch": 8.962178517397883, + "grad_norm": 1.4453125, + "learning_rate": 6.442291309980321e-05, + "loss": 4.4543, + "mean_token_accuracy": 0.2374836891889572, + "num_tokens": 19642802.0, + "step": 8890 + }, + { + "entropy": 5.321165323257446, + "epoch": 8.967221381744832, + "grad_norm": 1.46875, + "learning_rate": 6.4283506704788e-05, + "loss": 4.5282, + "mean_token_accuracy": 0.2309867709875107, + "num_tokens": 19654375.0, + "step": 8895 + }, + { + "entropy": 5.292215585708618, + "epoch": 8.97226424609178, + "grad_norm": 1.390625, + "learning_rate": 6.414475522149481e-05, + "loss": 4.5464, + "mean_token_accuracy": 0.22744086086750032, + "num_tokens": 19665772.0, + "step": 8900 + }, + { + "entropy": 5.357444620132446, + "epoch": 8.97730711043873, + "grad_norm": 1.6640625, + "learning_rate": 6.400665908116631e-05, + "loss": 4.5486, + "mean_token_accuracy": 0.2240617409348488, + "num_tokens": 19676278.0, + "step": 8905 + }, + { + "entropy": 5.3140871047973635, + "epoch": 8.982349974785679, + "grad_norm": 1.671875, + "learning_rate": 6.386921871300865e-05, + "loss": 4.5301, + "mean_token_accuracy": 0.2354864463210106, + "num_tokens": 19687524.0, + "step": 8910 + }, + { + "entropy": 5.334360027313233, + "epoch": 8.987392839132628, + "grad_norm": 1.5078125, + "learning_rate": 6.373243454418952e-05, + "loss": 4.4829, + "mean_token_accuracy": 0.23793790191411973, + "num_tokens": 19697754.0, + "step": 8915 + }, + { + "entropy": 5.331462478637695, + "epoch": 8.992435703479577, + "grad_norm": 1.5546875, + "learning_rate": 6.35963069998374e-05, + "loss": 4.4614, + "mean_token_accuracy": 0.24734795242547988, + "num_tokens": 19708910.0, + "step": 8920 + }, + { + "entropy": 5.297937870025635, + "epoch": 8.997478567826526, + "grad_norm": 1.421875, + "learning_rate": 6.346083650303975e-05, + "loss": 4.5305, + "mean_token_accuracy": 0.23495040982961654, + "num_tokens": 19719639.0, + "step": 8925 + }, + { + "entropy": 5.293973498874241, + "epoch": 9.00201714573878, + "grad_norm": 1.6015625, + "learning_rate": 6.332602347484202e-05, + "loss": 4.4392, + "mean_token_accuracy": 0.2372900512483385, + "num_tokens": 19728278.0, + "step": 8930 + }, + { + "entropy": 5.371674346923828, + "epoch": 9.007060010085729, + "grad_norm": 1.546875, + "learning_rate": 6.31918683342462e-05, + "loss": 4.565, + "mean_token_accuracy": 0.2297941565513611, + "num_tokens": 19739020.0, + "step": 8935 + }, + { + "entropy": 5.252942037582398, + "epoch": 9.012102874432678, + "grad_norm": 1.453125, + "learning_rate": 6.305837149820959e-05, + "loss": 4.4237, + "mean_token_accuracy": 0.24154184460639955, + "num_tokens": 19749445.0, + "step": 8940 + }, + { + "entropy": 5.256105232238769, + "epoch": 9.017145738779627, + "grad_norm": 1.59375, + "learning_rate": 6.29255333816434e-05, + "loss": 4.4357, + "mean_token_accuracy": 0.23935188949108124, + "num_tokens": 19760149.0, + "step": 8945 + }, + { + "entropy": 5.248445796966553, + "epoch": 9.022188603126576, + "grad_norm": 1.3984375, + "learning_rate": 6.279335439741164e-05, + "loss": 4.4382, + "mean_token_accuracy": 0.2314244031906128, + "num_tokens": 19771195.0, + "step": 8950 + }, + { + "entropy": 5.233526420593262, + "epoch": 9.027231467473525, + "grad_norm": 1.359375, + "learning_rate": 6.266183495632954e-05, + "loss": 4.407, + "mean_token_accuracy": 0.239119254052639, + "num_tokens": 19782823.0, + "step": 8955 + }, + { + "entropy": 5.2257493019104, + "epoch": 9.032274331820474, + "grad_norm": 1.4609375, + "learning_rate": 6.253097546716264e-05, + "loss": 4.3345, + "mean_token_accuracy": 0.2473153978586197, + "num_tokens": 19792901.0, + "step": 8960 + }, + { + "entropy": 5.294008398056031, + "epoch": 9.037317196167423, + "grad_norm": 1.3984375, + "learning_rate": 6.240077633662519e-05, + "loss": 4.5365, + "mean_token_accuracy": 0.23245623260736464, + "num_tokens": 19804654.0, + "step": 8965 + }, + { + "entropy": 5.256196594238281, + "epoch": 9.042360060514373, + "grad_norm": 1.4609375, + "learning_rate": 6.227123796937905e-05, + "loss": 4.4329, + "mean_token_accuracy": 0.23810820728540422, + "num_tokens": 19815105.0, + "step": 8970 + }, + { + "entropy": 5.286877059936524, + "epoch": 9.047402924861322, + "grad_norm": 1.6875, + "learning_rate": 6.214236076803264e-05, + "loss": 4.4497, + "mean_token_accuracy": 0.23858692497015, + "num_tokens": 19825667.0, + "step": 8975 + }, + { + "entropy": 5.38561224937439, + "epoch": 9.05244578920827, + "grad_norm": 1.28125, + "learning_rate": 6.201414513313907e-05, + "loss": 4.5409, + "mean_token_accuracy": 0.22601606994867324, + "num_tokens": 19837666.0, + "step": 8980 + }, + { + "entropy": 5.255772256851197, + "epoch": 9.05748865355522, + "grad_norm": 1.2109375, + "learning_rate": 6.188659146319562e-05, + "loss": 4.449, + "mean_token_accuracy": 0.2350140705704689, + "num_tokens": 19850214.0, + "step": 8985 + }, + { + "entropy": 5.331609535217285, + "epoch": 9.062531517902169, + "grad_norm": 1.3984375, + "learning_rate": 6.175970015464196e-05, + "loss": 4.5009, + "mean_token_accuracy": 0.23777409493923188, + "num_tokens": 19861031.0, + "step": 8990 + }, + { + "entropy": 5.309781122207641, + "epoch": 9.067574382249118, + "grad_norm": 1.375, + "learning_rate": 6.163347160185929e-05, + "loss": 4.523, + "mean_token_accuracy": 0.22513694167137147, + "num_tokens": 19872837.0, + "step": 8995 + }, + { + "entropy": 5.274234580993652, + "epoch": 9.072617246596067, + "grad_norm": 1.40625, + "learning_rate": 6.150790619716873e-05, + "loss": 4.4804, + "mean_token_accuracy": 0.24050371646881102, + "num_tokens": 19884444.0, + "step": 9000 + }, + { + "epoch": 9.072617246596067, + "eval_entropy": 5.178161744853012, + "eval_loss": 5.673004150390625, + "eval_mean_token_accuracy": 0.15679914166833306, + "eval_num_tokens": 19884444.0, + "eval_runtime": 2.0289, + "eval_samples_per_second": 1546.644, + "eval_steps_per_second": 193.7, + "step": 9000 + }, + { + "entropy": 5.3763570308685305, + "epoch": 9.077660110943016, + "grad_norm": 1.5625, + "learning_rate": 6.138300433083061e-05, + "loss": 4.5436, + "mean_token_accuracy": 0.23550911545753478, + "num_tokens": 19895931.0, + "step": 9005 + }, + { + "entropy": 5.288174295425415, + "epoch": 9.082702975289966, + "grad_norm": 1.6484375, + "learning_rate": 6.12587663910427e-05, + "loss": 4.4494, + "mean_token_accuracy": 0.23455522805452347, + "num_tokens": 19906878.0, + "step": 9010 + }, + { + "entropy": 5.291483306884766, + "epoch": 9.087745839636915, + "grad_norm": 1.5390625, + "learning_rate": 6.113519276393942e-05, + "loss": 4.4444, + "mean_token_accuracy": 0.23351054042577743, + "num_tokens": 19915652.0, + "step": 9015 + }, + { + "entropy": 5.314009952545166, + "epoch": 9.092788703983862, + "grad_norm": 1.46875, + "learning_rate": 6.1012283833590465e-05, + "loss": 4.4807, + "mean_token_accuracy": 0.23035342693328859, + "num_tokens": 19926634.0, + "step": 9020 + }, + { + "entropy": 5.350051927566528, + "epoch": 9.097831568330811, + "grad_norm": 1.4296875, + "learning_rate": 6.089003998199961e-05, + "loss": 4.5248, + "mean_token_accuracy": 0.23422152400016785, + "num_tokens": 19937526.0, + "step": 9025 + }, + { + "entropy": 5.2306970119476315, + "epoch": 9.10287443267776, + "grad_norm": 1.4140625, + "learning_rate": 6.076846158910357e-05, + "loss": 4.4796, + "mean_token_accuracy": 0.23458334803581238, + "num_tokens": 19948722.0, + "step": 9030 + }, + { + "entropy": 5.2631697177886965, + "epoch": 9.10791729702471, + "grad_norm": 1.4921875, + "learning_rate": 6.064754903277078e-05, + "loss": 4.4677, + "mean_token_accuracy": 0.23032038956880568, + "num_tokens": 19959465.0, + "step": 9035 + }, + { + "entropy": 5.281230497360229, + "epoch": 9.112960161371658, + "grad_norm": 1.6796875, + "learning_rate": 6.052730268880027e-05, + "loss": 4.4319, + "mean_token_accuracy": 0.23750713616609573, + "num_tokens": 19969815.0, + "step": 9040 + }, + { + "entropy": 5.3271619319915775, + "epoch": 9.118003025718608, + "grad_norm": 1.5859375, + "learning_rate": 6.040772293092049e-05, + "loss": 4.5064, + "mean_token_accuracy": 0.23773117512464523, + "num_tokens": 19981038.0, + "step": 9045 + }, + { + "entropy": 5.30289249420166, + "epoch": 9.123045890065557, + "grad_norm": 1.4765625, + "learning_rate": 6.0288810130787984e-05, + "loss": 4.403, + "mean_token_accuracy": 0.24556104838848114, + "num_tokens": 19990936.0, + "step": 9050 + }, + { + "entropy": 5.328696966171265, + "epoch": 9.128088754412506, + "grad_norm": 1.390625, + "learning_rate": 6.01705646579866e-05, + "loss": 4.4492, + "mean_token_accuracy": 0.24509316831827163, + "num_tokens": 20002635.0, + "step": 9055 + }, + { + "entropy": 5.273184204101563, + "epoch": 9.133131618759455, + "grad_norm": 1.4375, + "learning_rate": 6.005298688002588e-05, + "loss": 4.4195, + "mean_token_accuracy": 0.24506182223558426, + "num_tokens": 20012613.0, + "step": 9060 + }, + { + "entropy": 5.261239862442016, + "epoch": 9.138174483106404, + "grad_norm": 1.4296875, + "learning_rate": 5.9936077162340316e-05, + "loss": 4.4449, + "mean_token_accuracy": 0.2405702218413353, + "num_tokens": 20023857.0, + "step": 9065 + }, + { + "entropy": 5.2546412467956545, + "epoch": 9.143217347453353, + "grad_norm": 1.5, + "learning_rate": 5.981983586828807e-05, + "loss": 4.4309, + "mean_token_accuracy": 0.24163801819086075, + "num_tokens": 20033671.0, + "step": 9070 + }, + { + "entropy": 5.261633586883545, + "epoch": 9.148260211800302, + "grad_norm": 1.6640625, + "learning_rate": 5.970426335914969e-05, + "loss": 4.4698, + "mean_token_accuracy": 0.2355055034160614, + "num_tokens": 20043110.0, + "step": 9075 + }, + { + "entropy": 5.261373376846313, + "epoch": 9.153303076147251, + "grad_norm": 1.609375, + "learning_rate": 5.9589359994127236e-05, + "loss": 4.5025, + "mean_token_accuracy": 0.23389170318841934, + "num_tokens": 20053654.0, + "step": 9080 + }, + { + "entropy": 5.225298595428467, + "epoch": 9.1583459404942, + "grad_norm": 1.6171875, + "learning_rate": 5.9475126130342996e-05, + "loss": 4.4454, + "mean_token_accuracy": 0.23647162616252898, + "num_tokens": 20065127.0, + "step": 9085 + }, + { + "entropy": 5.297287225723267, + "epoch": 9.16338880484115, + "grad_norm": 1.4375, + "learning_rate": 5.936156212283845e-05, + "loss": 4.5331, + "mean_token_accuracy": 0.23510440737009047, + "num_tokens": 20076536.0, + "step": 9090 + }, + { + "entropy": 5.280688285827637, + "epoch": 9.168431669188099, + "grad_norm": 1.6640625, + "learning_rate": 5.924866832457317e-05, + "loss": 4.4824, + "mean_token_accuracy": 0.23600578010082246, + "num_tokens": 20087240.0, + "step": 9095 + }, + { + "entropy": 5.331060171127319, + "epoch": 9.173474533535048, + "grad_norm": 1.4453125, + "learning_rate": 5.913644508642367e-05, + "loss": 4.5533, + "mean_token_accuracy": 0.2367231383919716, + "num_tokens": 20098254.0, + "step": 9100 + }, + { + "entropy": 5.234721374511719, + "epoch": 9.178517397881997, + "grad_norm": 1.5078125, + "learning_rate": 5.902489275718238e-05, + "loss": 4.4808, + "mean_token_accuracy": 0.2394903540611267, + "num_tokens": 20109124.0, + "step": 9105 + }, + { + "entropy": 5.263840198516846, + "epoch": 9.183560262228946, + "grad_norm": 1.5, + "learning_rate": 5.891401168355652e-05, + "loss": 4.5137, + "mean_token_accuracy": 0.23679381906986235, + "num_tokens": 20119642.0, + "step": 9110 + }, + { + "entropy": 5.266139507293701, + "epoch": 9.188603126575895, + "grad_norm": 1.2578125, + "learning_rate": 5.8803802210166994e-05, + "loss": 4.4121, + "mean_token_accuracy": 0.24472299367189407, + "num_tokens": 20133019.0, + "step": 9115 + }, + { + "entropy": 5.337464380264282, + "epoch": 9.193645990922844, + "grad_norm": 1.3046875, + "learning_rate": 5.869426467954741e-05, + "loss": 4.5456, + "mean_token_accuracy": 0.22387043982744217, + "num_tokens": 20145369.0, + "step": 9120 + }, + { + "entropy": 5.216272306442261, + "epoch": 9.198688855269793, + "grad_norm": 1.4296875, + "learning_rate": 5.858539943214293e-05, + "loss": 4.4407, + "mean_token_accuracy": 0.23887391090393068, + "num_tokens": 20158165.0, + "step": 9125 + }, + { + "entropy": 5.338182401657105, + "epoch": 9.203731719616743, + "grad_norm": 1.4453125, + "learning_rate": 5.8477206806309236e-05, + "loss": 4.4546, + "mean_token_accuracy": 0.24192149490118026, + "num_tokens": 20169577.0, + "step": 9130 + }, + { + "entropy": 5.270054054260254, + "epoch": 9.208774583963692, + "grad_norm": 1.3203125, + "learning_rate": 5.8369687138311524e-05, + "loss": 4.4112, + "mean_token_accuracy": 0.23463183045387268, + "num_tokens": 20180546.0, + "step": 9135 + }, + { + "entropy": 5.247337913513183, + "epoch": 9.21381744831064, + "grad_norm": 1.390625, + "learning_rate": 5.8262840762323435e-05, + "loss": 4.4122, + "mean_token_accuracy": 0.24173760116100312, + "num_tokens": 20191296.0, + "step": 9140 + }, + { + "entropy": 5.307716178894043, + "epoch": 9.21886031265759, + "grad_norm": 1.703125, + "learning_rate": 5.815666801042593e-05, + "loss": 4.4818, + "mean_token_accuracy": 0.23766410797834397, + "num_tokens": 20202449.0, + "step": 9145 + }, + { + "entropy": 5.302510595321655, + "epoch": 9.223903177004539, + "grad_norm": 1.4140625, + "learning_rate": 5.8051169212606394e-05, + "loss": 4.4926, + "mean_token_accuracy": 0.2323222741484642, + "num_tokens": 20213224.0, + "step": 9150 + }, + { + "entropy": 5.263286924362182, + "epoch": 9.228946041351488, + "grad_norm": 1.7890625, + "learning_rate": 5.794634469675749e-05, + "loss": 4.4296, + "mean_token_accuracy": 0.23749027103185655, + "num_tokens": 20223822.0, + "step": 9155 + }, + { + "entropy": 5.252658081054688, + "epoch": 9.233988905698437, + "grad_norm": 1.734375, + "learning_rate": 5.7842194788676236e-05, + "loss": 4.4105, + "mean_token_accuracy": 0.2476603701710701, + "num_tokens": 20234104.0, + "step": 9160 + }, + { + "entropy": 5.2653148651123045, + "epoch": 9.239031770045386, + "grad_norm": 1.515625, + "learning_rate": 5.7738719812063e-05, + "loss": 4.5156, + "mean_token_accuracy": 0.22949600517749785, + "num_tokens": 20245839.0, + "step": 9165 + }, + { + "entropy": 5.308844327926636, + "epoch": 9.244074634392335, + "grad_norm": 1.546875, + "learning_rate": 5.763592008852036e-05, + "loss": 4.5134, + "mean_token_accuracy": 0.2299670994281769, + "num_tokens": 20256533.0, + "step": 9170 + }, + { + "entropy": 5.318382120132446, + "epoch": 9.249117498739285, + "grad_norm": 1.546875, + "learning_rate": 5.753379593755221e-05, + "loss": 4.4526, + "mean_token_accuracy": 0.23211114704608918, + "num_tokens": 20267236.0, + "step": 9175 + }, + { + "entropy": 5.321681547164917, + "epoch": 9.254160363086234, + "grad_norm": 1.2265625, + "learning_rate": 5.743234767656277e-05, + "loss": 4.5374, + "mean_token_accuracy": 0.23575762212276458, + "num_tokens": 20278704.0, + "step": 9180 + }, + { + "entropy": 5.3096071720123295, + "epoch": 9.259203227433183, + "grad_norm": 1.40625, + "learning_rate": 5.733157562085565e-05, + "loss": 4.5029, + "mean_token_accuracy": 0.23687740564346313, + "num_tokens": 20290839.0, + "step": 9185 + }, + { + "entropy": 5.248005342483521, + "epoch": 9.264246091780132, + "grad_norm": 1.4375, + "learning_rate": 5.723148008363261e-05, + "loss": 4.4611, + "mean_token_accuracy": 0.23357556015253067, + "num_tokens": 20301655.0, + "step": 9190 + }, + { + "entropy": 5.333511066436768, + "epoch": 9.269288956127081, + "grad_norm": 1.640625, + "learning_rate": 5.713206137599295e-05, + "loss": 4.5448, + "mean_token_accuracy": 0.2408013164997101, + "num_tokens": 20313084.0, + "step": 9195 + }, + { + "entropy": 5.307603883743286, + "epoch": 9.274331820474028, + "grad_norm": 1.3828125, + "learning_rate": 5.703331980693233e-05, + "loss": 4.4199, + "mean_token_accuracy": 0.2455623134970665, + "num_tokens": 20324158.0, + "step": 9200 + }, + { + "entropy": 5.292511510848999, + "epoch": 9.279374684820977, + "grad_norm": 1.765625, + "learning_rate": 5.69352556833418e-05, + "loss": 4.4695, + "mean_token_accuracy": 0.2351292997598648, + "num_tokens": 20335221.0, + "step": 9205 + }, + { + "entropy": 5.26459813117981, + "epoch": 9.284417549167927, + "grad_norm": 1.4921875, + "learning_rate": 5.6837869310006885e-05, + "loss": 4.4457, + "mean_token_accuracy": 0.24575310349464416, + "num_tokens": 20346296.0, + "step": 9210 + }, + { + "entropy": 5.356326293945313, + "epoch": 9.289460413514876, + "grad_norm": 1.40625, + "learning_rate": 5.674116098960672e-05, + "loss": 4.5133, + "mean_token_accuracy": 0.22568799555301666, + "num_tokens": 20358970.0, + "step": 9215 + }, + { + "entropy": 5.305554008483886, + "epoch": 9.294503277861825, + "grad_norm": 1.4140625, + "learning_rate": 5.6645131022712974e-05, + "loss": 4.5213, + "mean_token_accuracy": 0.2283546045422554, + "num_tokens": 20370317.0, + "step": 9220 + }, + { + "entropy": 5.261384201049805, + "epoch": 9.299546142208774, + "grad_norm": 1.59375, + "learning_rate": 5.6549779707789026e-05, + "loss": 4.4205, + "mean_token_accuracy": 0.23860578536987304, + "num_tokens": 20382227.0, + "step": 9225 + }, + { + "entropy": 5.301559638977051, + "epoch": 9.304589006555723, + "grad_norm": 1.515625, + "learning_rate": 5.645510734118892e-05, + "loss": 4.4797, + "mean_token_accuracy": 0.23312939405441285, + "num_tokens": 20392962.0, + "step": 9230 + }, + { + "entropy": 5.252760410308838, + "epoch": 9.309631870902672, + "grad_norm": 1.4921875, + "learning_rate": 5.636111421715662e-05, + "loss": 4.4315, + "mean_token_accuracy": 0.24553487300872803, + "num_tokens": 20404225.0, + "step": 9235 + }, + { + "entropy": 5.2738793849945065, + "epoch": 9.314674735249621, + "grad_norm": 1.3515625, + "learning_rate": 5.6267800627824856e-05, + "loss": 4.5254, + "mean_token_accuracy": 0.22967385351657868, + "num_tokens": 20416074.0, + "step": 9240 + }, + { + "entropy": 5.24415602684021, + "epoch": 9.31971759959657, + "grad_norm": 1.3359375, + "learning_rate": 5.617516686321446e-05, + "loss": 4.4601, + "mean_token_accuracy": 0.23671684116125108, + "num_tokens": 20427971.0, + "step": 9245 + }, + { + "entropy": 5.325463104248047, + "epoch": 9.32476046394352, + "grad_norm": 1.4609375, + "learning_rate": 5.608321321123328e-05, + "loss": 4.4827, + "mean_token_accuracy": 0.23719545751810073, + "num_tokens": 20439364.0, + "step": 9250 + }, + { + "entropy": 5.301038980484009, + "epoch": 9.329803328290469, + "grad_norm": 1.625, + "learning_rate": 5.59919399576754e-05, + "loss": 4.4695, + "mean_token_accuracy": 0.24150961339473725, + "num_tokens": 20450305.0, + "step": 9255 + }, + { + "entropy": 5.285037469863892, + "epoch": 9.334846192637418, + "grad_norm": 1.3984375, + "learning_rate": 5.5901347386220205e-05, + "loss": 4.489, + "mean_token_accuracy": 0.23337307423353196, + "num_tokens": 20461153.0, + "step": 9260 + }, + { + "entropy": 5.330931377410889, + "epoch": 9.339889056984367, + "grad_norm": 1.40625, + "learning_rate": 5.581143577843152e-05, + "loss": 4.4914, + "mean_token_accuracy": 0.23779033720493317, + "num_tokens": 20472507.0, + "step": 9265 + }, + { + "entropy": 5.289798212051392, + "epoch": 9.344931921331316, + "grad_norm": 1.6171875, + "learning_rate": 5.5722205413756655e-05, + "loss": 4.4519, + "mean_token_accuracy": 0.24462401270866393, + "num_tokens": 20482474.0, + "step": 9270 + }, + { + "entropy": 5.257506704330444, + "epoch": 9.349974785678265, + "grad_norm": 1.4375, + "learning_rate": 5.563365656952563e-05, + "loss": 4.4357, + "mean_token_accuracy": 0.24004875272512435, + "num_tokens": 20492965.0, + "step": 9275 + }, + { + "entropy": 5.340389585494995, + "epoch": 9.355017650025214, + "grad_norm": 1.546875, + "learning_rate": 5.5545789520950324e-05, + "loss": 4.517, + "mean_token_accuracy": 0.23732692897319793, + "num_tokens": 20504094.0, + "step": 9280 + }, + { + "entropy": 5.2437502384185795, + "epoch": 9.360060514372163, + "grad_norm": 1.5, + "learning_rate": 5.545860454112355e-05, + "loss": 4.4922, + "mean_token_accuracy": 0.23744183629751206, + "num_tokens": 20514753.0, + "step": 9285 + }, + { + "entropy": 5.305642318725586, + "epoch": 9.365103378719112, + "grad_norm": 1.453125, + "learning_rate": 5.537210190101825e-05, + "loss": 4.4476, + "mean_token_accuracy": 0.23835887908935546, + "num_tokens": 20526370.0, + "step": 9290 + }, + { + "entropy": 5.289352130889893, + "epoch": 9.370146243066062, + "grad_norm": 1.5234375, + "learning_rate": 5.5286281869486585e-05, + "loss": 4.5173, + "mean_token_accuracy": 0.23313865512609483, + "num_tokens": 20538365.0, + "step": 9295 + }, + { + "entropy": 5.352006626129151, + "epoch": 9.37518910741301, + "grad_norm": 1.6953125, + "learning_rate": 5.5201144713259234e-05, + "loss": 4.5386, + "mean_token_accuracy": 0.23403456807136536, + "num_tokens": 20548523.0, + "step": 9300 + }, + { + "entropy": 5.246001148223877, + "epoch": 9.38023197175996, + "grad_norm": 1.453125, + "learning_rate": 5.511669069694441e-05, + "loss": 4.474, + "mean_token_accuracy": 0.23257417529821395, + "num_tokens": 20559340.0, + "step": 9305 + }, + { + "entropy": 5.31128249168396, + "epoch": 9.385274836106909, + "grad_norm": 1.5625, + "learning_rate": 5.503292008302719e-05, + "loss": 4.4888, + "mean_token_accuracy": 0.237968111038208, + "num_tokens": 20569549.0, + "step": 9310 + }, + { + "entropy": 5.37850399017334, + "epoch": 9.390317700453858, + "grad_norm": 1.6171875, + "learning_rate": 5.494983313186849e-05, + "loss": 4.5983, + "mean_token_accuracy": 0.23007359057664872, + "num_tokens": 20581287.0, + "step": 9315 + }, + { + "entropy": 5.357929420471192, + "epoch": 9.395360564800807, + "grad_norm": 1.3984375, + "learning_rate": 5.4867430101704565e-05, + "loss": 4.5439, + "mean_token_accuracy": 0.22870104312896727, + "num_tokens": 20593279.0, + "step": 9320 + }, + { + "entropy": 5.277611780166626, + "epoch": 9.400403429147756, + "grad_norm": 1.4609375, + "learning_rate": 5.4785711248645854e-05, + "loss": 4.4403, + "mean_token_accuracy": 0.2389804854989052, + "num_tokens": 20604244.0, + "step": 9325 + }, + { + "entropy": 5.2934911251068115, + "epoch": 9.405446293494705, + "grad_norm": 1.8515625, + "learning_rate": 5.470467682667653e-05, + "loss": 4.4585, + "mean_token_accuracy": 0.23600169718265535, + "num_tokens": 20615008.0, + "step": 9330 + }, + { + "entropy": 5.295921993255615, + "epoch": 9.410489157841655, + "grad_norm": 1.3515625, + "learning_rate": 5.462432708765333e-05, + "loss": 4.5391, + "mean_token_accuracy": 0.23460209667682647, + "num_tokens": 20627016.0, + "step": 9335 + }, + { + "entropy": 5.281091737747192, + "epoch": 9.415532022188604, + "grad_norm": 1.2578125, + "learning_rate": 5.4544662281305214e-05, + "loss": 4.5103, + "mean_token_accuracy": 0.23803479075431824, + "num_tokens": 20638866.0, + "step": 9340 + }, + { + "entropy": 5.269151735305786, + "epoch": 9.420574886535553, + "grad_norm": 1.3671875, + "learning_rate": 5.446568265523215e-05, + "loss": 4.4629, + "mean_token_accuracy": 0.23758096545934676, + "num_tokens": 20649865.0, + "step": 9345 + }, + { + "entropy": 5.321217346191406, + "epoch": 9.425617750882502, + "grad_norm": 1.625, + "learning_rate": 5.4387388454904656e-05, + "loss": 4.5364, + "mean_token_accuracy": 0.22606146782636644, + "num_tokens": 20660709.0, + "step": 9350 + }, + { + "entropy": 5.27121410369873, + "epoch": 9.430660615229451, + "grad_norm": 1.4375, + "learning_rate": 5.4309779923662956e-05, + "loss": 4.5335, + "mean_token_accuracy": 0.2213353008031845, + "num_tokens": 20671582.0, + "step": 9355 + }, + { + "entropy": 5.344495010375977, + "epoch": 9.4357034795764, + "grad_norm": 1.3671875, + "learning_rate": 5.423285730271612e-05, + "loss": 4.543, + "mean_token_accuracy": 0.22909707576036453, + "num_tokens": 20684228.0, + "step": 9360 + }, + { + "entropy": 5.286408233642578, + "epoch": 9.44074634392335, + "grad_norm": 1.421875, + "learning_rate": 5.415662083114142e-05, + "loss": 4.4988, + "mean_token_accuracy": 0.23272986859083175, + "num_tokens": 20696136.0, + "step": 9365 + }, + { + "entropy": 5.225128984451294, + "epoch": 9.445789208270298, + "grad_norm": 1.4921875, + "learning_rate": 5.4081070745883584e-05, + "loss": 4.439, + "mean_token_accuracy": 0.23795704692602157, + "num_tokens": 20707778.0, + "step": 9370 + }, + { + "entropy": 5.251612663269043, + "epoch": 9.450832072617247, + "grad_norm": 1.4375, + "learning_rate": 5.4006207281754035e-05, + "loss": 4.4299, + "mean_token_accuracy": 0.23731424212455748, + "num_tokens": 20720260.0, + "step": 9375 + }, + { + "entropy": 5.315037250518799, + "epoch": 9.455874936964197, + "grad_norm": 1.5625, + "learning_rate": 5.393203067143011e-05, + "loss": 4.5505, + "mean_token_accuracy": 0.22750738710165025, + "num_tokens": 20730810.0, + "step": 9380 + }, + { + "entropy": 5.309619188308716, + "epoch": 9.460917801311144, + "grad_norm": 1.53125, + "learning_rate": 5.385854114545445e-05, + "loss": 4.4922, + "mean_token_accuracy": 0.2384969562292099, + "num_tokens": 20741453.0, + "step": 9385 + }, + { + "entropy": 5.269858932495117, + "epoch": 9.465960665658093, + "grad_norm": 1.4921875, + "learning_rate": 5.3785738932234175e-05, + "loss": 4.4499, + "mean_token_accuracy": 0.23169865161180497, + "num_tokens": 20752598.0, + "step": 9390 + }, + { + "entropy": 5.280279159545898, + "epoch": 9.471003530005042, + "grad_norm": 1.4609375, + "learning_rate": 5.3713624258040286e-05, + "loss": 4.4837, + "mean_token_accuracy": 0.2417982593178749, + "num_tokens": 20763866.0, + "step": 9395 + }, + { + "entropy": 5.216597223281861, + "epoch": 9.476046394351991, + "grad_norm": 1.5, + "learning_rate": 5.364219734700682e-05, + "loss": 4.4065, + "mean_token_accuracy": 0.245579332113266, + "num_tokens": 20775098.0, + "step": 9400 + }, + { + "entropy": 5.278700113296509, + "epoch": 9.48108925869894, + "grad_norm": 1.4609375, + "learning_rate": 5.357145842113027e-05, + "loss": 4.4637, + "mean_token_accuracy": 0.23845158964395524, + "num_tokens": 20785972.0, + "step": 9405 + }, + { + "entropy": 5.299282884597778, + "epoch": 9.48613212304589, + "grad_norm": 1.46875, + "learning_rate": 5.350140770026885e-05, + "loss": 4.466, + "mean_token_accuracy": 0.23617689907550812, + "num_tokens": 20797263.0, + "step": 9410 + }, + { + "entropy": 5.297047662734985, + "epoch": 9.491174987392839, + "grad_norm": 1.3984375, + "learning_rate": 5.34320454021418e-05, + "loss": 4.4907, + "mean_token_accuracy": 0.2398466497659683, + "num_tokens": 20809965.0, + "step": 9415 + }, + { + "entropy": 5.345800113677979, + "epoch": 9.496217851739788, + "grad_norm": 1.5703125, + "learning_rate": 5.336337174232878e-05, + "loss": 4.5282, + "mean_token_accuracy": 0.2313207969069481, + "num_tokens": 20821339.0, + "step": 9420 + }, + { + "entropy": 5.310806369781494, + "epoch": 9.501260716086737, + "grad_norm": 1.6640625, + "learning_rate": 5.329538693426908e-05, + "loss": 4.479, + "mean_token_accuracy": 0.23867499828338623, + "num_tokens": 20832329.0, + "step": 9425 + }, + { + "entropy": 5.2907960414886475, + "epoch": 9.506303580433686, + "grad_norm": 1.8046875, + "learning_rate": 5.322809118926106e-05, + "loss": 4.4352, + "mean_token_accuracy": 0.24411906599998473, + "num_tokens": 20841722.0, + "step": 9430 + }, + { + "entropy": 5.392596340179443, + "epoch": 9.511346444780635, + "grad_norm": 1.5234375, + "learning_rate": 5.316148471646147e-05, + "loss": 4.5217, + "mean_token_accuracy": 0.23902744501829148, + "num_tokens": 20851658.0, + "step": 9435 + }, + { + "entropy": 5.307204294204712, + "epoch": 9.516389309127584, + "grad_norm": 1.6171875, + "learning_rate": 5.30955677228847e-05, + "loss": 4.5058, + "mean_token_accuracy": 0.22843848615884782, + "num_tokens": 20862795.0, + "step": 9440 + }, + { + "entropy": 5.296060800552368, + "epoch": 9.521432173474533, + "grad_norm": 1.4609375, + "learning_rate": 5.303034041340237e-05, + "loss": 4.4996, + "mean_token_accuracy": 0.23214525878429412, + "num_tokens": 20873610.0, + "step": 9445 + }, + { + "entropy": 5.319445562362671, + "epoch": 9.526475037821482, + "grad_norm": 1.5546875, + "learning_rate": 5.296580299074239e-05, + "loss": 4.4747, + "mean_token_accuracy": 0.24339208602905274, + "num_tokens": 20884269.0, + "step": 9450 + }, + { + "entropy": 5.3196306228637695, + "epoch": 9.531517902168432, + "grad_norm": 1.4921875, + "learning_rate": 5.2901955655488616e-05, + "loss": 4.5068, + "mean_token_accuracy": 0.23608516454696654, + "num_tokens": 20896546.0, + "step": 9455 + }, + { + "entropy": 5.246374893188476, + "epoch": 9.53656076651538, + "grad_norm": 1.4921875, + "learning_rate": 5.283879860607998e-05, + "loss": 4.4001, + "mean_token_accuracy": 0.2475920557975769, + "num_tokens": 20906317.0, + "step": 9460 + }, + { + "entropy": 5.372496700286865, + "epoch": 9.54160363086233, + "grad_norm": 1.8046875, + "learning_rate": 5.277633203881011e-05, + "loss": 4.5595, + "mean_token_accuracy": 0.22912793159484862, + "num_tokens": 20917283.0, + "step": 9465 + }, + { + "entropy": 5.3141703605651855, + "epoch": 9.546646495209279, + "grad_norm": 1.4375, + "learning_rate": 5.271455614782649e-05, + "loss": 4.4369, + "mean_token_accuracy": 0.23454989790916442, + "num_tokens": 20927489.0, + "step": 9470 + }, + { + "entropy": 5.345173358917236, + "epoch": 9.551689359556228, + "grad_norm": 1.6171875, + "learning_rate": 5.265347112513003e-05, + "loss": 4.5101, + "mean_token_accuracy": 0.2370549827814102, + "num_tokens": 20938315.0, + "step": 9475 + }, + { + "entropy": 5.218850326538086, + "epoch": 9.556732223903177, + "grad_norm": 1.4921875, + "learning_rate": 5.2593077160574414e-05, + "loss": 4.3531, + "mean_token_accuracy": 0.24987679123878478, + "num_tokens": 20948324.0, + "step": 9480 + }, + { + "entropy": 5.293059635162353, + "epoch": 9.561775088250126, + "grad_norm": 1.3515625, + "learning_rate": 5.2533374441865447e-05, + "loss": 4.4536, + "mean_token_accuracy": 0.2453315168619156, + "num_tokens": 20959869.0, + "step": 9485 + }, + { + "entropy": 5.307140636444092, + "epoch": 9.566817952597075, + "grad_norm": 1.7890625, + "learning_rate": 5.247436315456057e-05, + "loss": 4.4355, + "mean_token_accuracy": 0.2452870011329651, + "num_tokens": 20969508.0, + "step": 9490 + }, + { + "entropy": 5.380783033370972, + "epoch": 9.571860816944024, + "grad_norm": 1.34375, + "learning_rate": 5.2416043482068214e-05, + "loss": 4.6018, + "mean_token_accuracy": 0.22696005403995514, + "num_tokens": 20981527.0, + "step": 9495 + }, + { + "entropy": 5.300064039230347, + "epoch": 9.576903681290974, + "grad_norm": 1.65625, + "learning_rate": 5.2358415605647264e-05, + "loss": 4.4461, + "mean_token_accuracy": 0.24252737015485765, + "num_tokens": 20991868.0, + "step": 9500 + }, + { + "entropy": 5.310224390029907, + "epoch": 9.581946545637923, + "grad_norm": 1.5234375, + "learning_rate": 5.2301479704406514e-05, + "loss": 4.4684, + "mean_token_accuracy": 0.23526833951473236, + "num_tokens": 21001920.0, + "step": 9505 + }, + { + "entropy": 5.318339014053345, + "epoch": 9.586989409984872, + "grad_norm": 1.6640625, + "learning_rate": 5.224523595530402e-05, + "loss": 4.4886, + "mean_token_accuracy": 0.22906921356916427, + "num_tokens": 21012610.0, + "step": 9510 + }, + { + "entropy": 5.2371063232421875, + "epoch": 9.592032274331821, + "grad_norm": 1.546875, + "learning_rate": 5.2189684533146676e-05, + "loss": 4.4361, + "mean_token_accuracy": 0.24259178936481476, + "num_tokens": 21023041.0, + "step": 9515 + }, + { + "entropy": 5.260989999771118, + "epoch": 9.59707513867877, + "grad_norm": 1.5078125, + "learning_rate": 5.213482561058962e-05, + "loss": 4.4862, + "mean_token_accuracy": 0.23872768133878708, + "num_tokens": 21033100.0, + "step": 9520 + }, + { + "entropy": 5.36739673614502, + "epoch": 9.60211800302572, + "grad_norm": 1.6171875, + "learning_rate": 5.208065935813556e-05, + "loss": 4.5546, + "mean_token_accuracy": 0.2270262658596039, + "num_tokens": 21043725.0, + "step": 9525 + }, + { + "entropy": 5.3705628395080565, + "epoch": 9.607160867372668, + "grad_norm": 1.546875, + "learning_rate": 5.2027185944134535e-05, + "loss": 4.5903, + "mean_token_accuracy": 0.2292545959353447, + "num_tokens": 21055990.0, + "step": 9530 + }, + { + "entropy": 5.337070322036743, + "epoch": 9.612203731719617, + "grad_norm": 1.3359375, + "learning_rate": 5.197440553478312e-05, + "loss": 4.5348, + "mean_token_accuracy": 0.2342148318886757, + "num_tokens": 21068643.0, + "step": 9535 + }, + { + "entropy": 5.252131032943725, + "epoch": 9.617246596066567, + "grad_norm": 1.453125, + "learning_rate": 5.192231829412404e-05, + "loss": 4.4359, + "mean_token_accuracy": 0.24471287727355956, + "num_tokens": 21079336.0, + "step": 9540 + }, + { + "entropy": 5.23581485748291, + "epoch": 9.622289460413516, + "grad_norm": 1.390625, + "learning_rate": 5.187092438404565e-05, + "loss": 4.4319, + "mean_token_accuracy": 0.2410667672753334, + "num_tokens": 21090759.0, + "step": 9545 + }, + { + "entropy": 5.338009834289551, + "epoch": 9.627332324760465, + "grad_norm": 1.6875, + "learning_rate": 5.18202239642814e-05, + "loss": 4.5178, + "mean_token_accuracy": 0.23613276332616806, + "num_tokens": 21101871.0, + "step": 9550 + }, + { + "entropy": 5.27678484916687, + "epoch": 9.632375189107414, + "grad_norm": 1.4140625, + "learning_rate": 5.177021719240939e-05, + "loss": 4.5345, + "mean_token_accuracy": 0.23062906116247178, + "num_tokens": 21113028.0, + "step": 9555 + }, + { + "entropy": 5.264456748962402, + "epoch": 9.637418053454361, + "grad_norm": 1.5078125, + "learning_rate": 5.172090422385178e-05, + "loss": 4.4888, + "mean_token_accuracy": 0.2338095173239708, + "num_tokens": 21122709.0, + "step": 9560 + }, + { + "entropy": 5.303500938415527, + "epoch": 9.64246091780131, + "grad_norm": 1.5078125, + "learning_rate": 5.167228521187443e-05, + "loss": 4.5127, + "mean_token_accuracy": 0.22826657593250274, + "num_tokens": 21133367.0, + "step": 9565 + }, + { + "entropy": 5.324730157852173, + "epoch": 9.64750378214826, + "grad_norm": 1.4453125, + "learning_rate": 5.162436030758637e-05, + "loss": 4.5576, + "mean_token_accuracy": 0.22957781255245208, + "num_tokens": 21145006.0, + "step": 9570 + }, + { + "entropy": 5.334580039978027, + "epoch": 9.652546646495209, + "grad_norm": 1.3515625, + "learning_rate": 5.1577129659939304e-05, + "loss": 4.5668, + "mean_token_accuracy": 0.22741150707006455, + "num_tokens": 21155892.0, + "step": 9575 + }, + { + "entropy": 5.342772674560547, + "epoch": 9.657589510842158, + "grad_norm": 1.40625, + "learning_rate": 5.1530593415727143e-05, + "loss": 4.4977, + "mean_token_accuracy": 0.23707924038171768, + "num_tokens": 21168490.0, + "step": 9580 + }, + { + "entropy": 5.302120876312256, + "epoch": 9.662632375189107, + "grad_norm": 1.3984375, + "learning_rate": 5.148475171958564e-05, + "loss": 4.5107, + "mean_token_accuracy": 0.2266594037413597, + "num_tokens": 21179793.0, + "step": 9585 + }, + { + "entropy": 5.232041501998902, + "epoch": 9.667675239536056, + "grad_norm": 1.7578125, + "learning_rate": 5.143960471399182e-05, + "loss": 4.4791, + "mean_token_accuracy": 0.23204403817653657, + "num_tokens": 21190517.0, + "step": 9590 + }, + { + "entropy": 5.330659341812134, + "epoch": 9.672718103883005, + "grad_norm": 1.609375, + "learning_rate": 5.139515253926365e-05, + "loss": 4.4652, + "mean_token_accuracy": 0.23749330937862395, + "num_tokens": 21201608.0, + "step": 9595 + }, + { + "entropy": 5.278474473953247, + "epoch": 9.677760968229954, + "grad_norm": 1.609375, + "learning_rate": 5.135139533355947e-05, + "loss": 4.428, + "mean_token_accuracy": 0.2423204869031906, + "num_tokens": 21213300.0, + "step": 9600 + }, + { + "entropy": 5.2472296237945555, + "epoch": 9.682803832576903, + "grad_norm": 1.4453125, + "learning_rate": 5.1308333232877724e-05, + "loss": 4.4512, + "mean_token_accuracy": 0.236320923268795, + "num_tokens": 21223320.0, + "step": 9605 + }, + { + "entropy": 5.281208896636963, + "epoch": 9.687846696923852, + "grad_norm": 1.4765625, + "learning_rate": 5.1265966371056376e-05, + "loss": 4.4793, + "mean_token_accuracy": 0.24058147072792052, + "num_tokens": 21234478.0, + "step": 9610 + }, + { + "entropy": 5.238891744613648, + "epoch": 9.692889561270801, + "grad_norm": 1.4453125, + "learning_rate": 5.1224294879772655e-05, + "loss": 4.3889, + "mean_token_accuracy": 0.2412008672952652, + "num_tokens": 21245349.0, + "step": 9615 + }, + { + "entropy": 5.254861545562744, + "epoch": 9.69793242561775, + "grad_norm": 1.40625, + "learning_rate": 5.118331888854251e-05, + "loss": 4.4656, + "mean_token_accuracy": 0.24354891031980513, + "num_tokens": 21257406.0, + "step": 9620 + }, + { + "entropy": 5.318990564346313, + "epoch": 9.7029752899647, + "grad_norm": 1.5859375, + "learning_rate": 5.114303852472023e-05, + "loss": 4.5094, + "mean_token_accuracy": 0.23371084034442902, + "num_tokens": 21267733.0, + "step": 9625 + }, + { + "entropy": 5.329446935653687, + "epoch": 9.708018154311649, + "grad_norm": 1.6875, + "learning_rate": 5.1103453913498126e-05, + "loss": 4.5412, + "mean_token_accuracy": 0.2320782035589218, + "num_tokens": 21278741.0, + "step": 9630 + }, + { + "entropy": 5.281812334060669, + "epoch": 9.713061018658598, + "grad_norm": 1.5703125, + "learning_rate": 5.106456517790611e-05, + "loss": 4.4788, + "mean_token_accuracy": 0.23822828084230424, + "num_tokens": 21289248.0, + "step": 9635 + }, + { + "entropy": 5.246937608718872, + "epoch": 9.718103883005547, + "grad_norm": 1.484375, + "learning_rate": 5.1026372438811246e-05, + "loss": 4.4308, + "mean_token_accuracy": 0.23650251030921937, + "num_tokens": 21299704.0, + "step": 9640 + }, + { + "entropy": 5.308965492248535, + "epoch": 9.723146747352496, + "grad_norm": 1.3125, + "learning_rate": 5.098887581491747e-05, + "loss": 4.4742, + "mean_token_accuracy": 0.24375279396772384, + "num_tokens": 21311747.0, + "step": 9645 + }, + { + "entropy": 5.292308950424195, + "epoch": 9.728189611699445, + "grad_norm": 1.8046875, + "learning_rate": 5.095207542276513e-05, + "loss": 4.4962, + "mean_token_accuracy": 0.23380099833011628, + "num_tokens": 21321810.0, + "step": 9650 + }, + { + "entropy": 5.3142900466918945, + "epoch": 9.733232476046394, + "grad_norm": 1.3828125, + "learning_rate": 5.091597137673073e-05, + "loss": 4.45, + "mean_token_accuracy": 0.23933105021715165, + "num_tokens": 21331349.0, + "step": 9655 + }, + { + "entropy": 5.299447059631348, + "epoch": 9.738275340393344, + "grad_norm": 1.6640625, + "learning_rate": 5.088056378902641e-05, + "loss": 4.5228, + "mean_token_accuracy": 0.22525003254413606, + "num_tokens": 21344189.0, + "step": 9660 + }, + { + "entropy": 5.2656444072723385, + "epoch": 9.743318204740293, + "grad_norm": 1.6640625, + "learning_rate": 5.0845852769699824e-05, + "loss": 4.5123, + "mean_token_accuracy": 0.23539091348648072, + "num_tokens": 21355245.0, + "step": 9665 + }, + { + "entropy": 5.306615209579467, + "epoch": 9.748361069087242, + "grad_norm": 1.453125, + "learning_rate": 5.081183842663361e-05, + "loss": 4.5347, + "mean_token_accuracy": 0.23023392558097838, + "num_tokens": 21366735.0, + "step": 9670 + }, + { + "entropy": 5.294967174530029, + "epoch": 9.75340393343419, + "grad_norm": 1.453125, + "learning_rate": 5.0778520865545154e-05, + "loss": 4.487, + "mean_token_accuracy": 0.2414250984787941, + "num_tokens": 21378644.0, + "step": 9675 + }, + { + "entropy": 5.388741207122803, + "epoch": 9.75844679778114, + "grad_norm": 1.4296875, + "learning_rate": 5.074590018998614e-05, + "loss": 4.5535, + "mean_token_accuracy": 0.2254415348172188, + "num_tokens": 21389622.0, + "step": 9680 + }, + { + "entropy": 5.323296642303466, + "epoch": 9.763489662128089, + "grad_norm": 1.3984375, + "learning_rate": 5.071397650134244e-05, + "loss": 4.5422, + "mean_token_accuracy": 0.23927092999219896, + "num_tokens": 21399867.0, + "step": 9685 + }, + { + "entropy": 5.312553405761719, + "epoch": 9.768532526475038, + "grad_norm": 1.3984375, + "learning_rate": 5.0682749898833575e-05, + "loss": 4.4815, + "mean_token_accuracy": 0.2379143640398979, + "num_tokens": 21410587.0, + "step": 9690 + }, + { + "entropy": 5.310718822479248, + "epoch": 9.773575390821987, + "grad_norm": 1.5390625, + "learning_rate": 5.065222047951257e-05, + "loss": 4.5083, + "mean_token_accuracy": 0.22742300629615783, + "num_tokens": 21421034.0, + "step": 9695 + }, + { + "entropy": 5.269879674911499, + "epoch": 9.778618255168936, + "grad_norm": 1.515625, + "learning_rate": 5.0622388338265574e-05, + "loss": 4.4153, + "mean_token_accuracy": 0.24087652266025544, + "num_tokens": 21431667.0, + "step": 9700 + }, + { + "entropy": 5.291943311691284, + "epoch": 9.783661119515886, + "grad_norm": 1.4296875, + "learning_rate": 5.059325356781154e-05, + "loss": 4.4818, + "mean_token_accuracy": 0.23441410213708877, + "num_tokens": 21444344.0, + "step": 9705 + }, + { + "entropy": 5.2699137210845945, + "epoch": 9.788703983862835, + "grad_norm": 1.46875, + "learning_rate": 5.0564816258702034e-05, + "loss": 4.4615, + "mean_token_accuracy": 0.23045269548892974, + "num_tokens": 21455590.0, + "step": 9710 + }, + { + "entropy": 5.291574764251709, + "epoch": 9.793746848209784, + "grad_norm": 1.359375, + "learning_rate": 5.053707649932085e-05, + "loss": 4.484, + "mean_token_accuracy": 0.23130659013986588, + "num_tokens": 21466366.0, + "step": 9715 + }, + { + "entropy": 5.3661518573760985, + "epoch": 9.798789712556733, + "grad_norm": 1.6484375, + "learning_rate": 5.0510034375883815e-05, + "loss": 4.6079, + "mean_token_accuracy": 0.22675031721591948, + "num_tokens": 21478190.0, + "step": 9720 + }, + { + "entropy": 5.298142576217652, + "epoch": 9.803832576903682, + "grad_norm": 1.7109375, + "learning_rate": 5.0483689972438454e-05, + "loss": 4.4765, + "mean_token_accuracy": 0.23305057883262634, + "num_tokens": 21488992.0, + "step": 9725 + }, + { + "entropy": 5.226600694656372, + "epoch": 9.808875441250631, + "grad_norm": 1.640625, + "learning_rate": 5.045804337086378e-05, + "loss": 4.4039, + "mean_token_accuracy": 0.24330955892801284, + "num_tokens": 21499596.0, + "step": 9730 + }, + { + "entropy": 5.296843385696411, + "epoch": 9.813918305597578, + "grad_norm": 1.4921875, + "learning_rate": 5.043309465087006e-05, + "loss": 4.4578, + "mean_token_accuracy": 0.23468735218048095, + "num_tokens": 21510187.0, + "step": 9735 + }, + { + "entropy": 5.283074188232422, + "epoch": 9.81896116994453, + "grad_norm": 1.4765625, + "learning_rate": 5.040884388999846e-05, + "loss": 4.4736, + "mean_token_accuracy": 0.23481169193983079, + "num_tokens": 21521298.0, + "step": 9740 + }, + { + "entropy": 5.2564599990844725, + "epoch": 9.824004034291477, + "grad_norm": 1.609375, + "learning_rate": 5.0385291163620896e-05, + "loss": 4.3876, + "mean_token_accuracy": 0.2450414255261421, + "num_tokens": 21531855.0, + "step": 9745 + }, + { + "entropy": 5.234697008132935, + "epoch": 9.829046898638426, + "grad_norm": 1.4765625, + "learning_rate": 5.03624365449398e-05, + "loss": 4.4175, + "mean_token_accuracy": 0.24161807596683502, + "num_tokens": 21543034.0, + "step": 9750 + }, + { + "entropy": 5.293759965896607, + "epoch": 9.834089762985375, + "grad_norm": 1.796875, + "learning_rate": 5.034028010498784e-05, + "loss": 4.4651, + "mean_token_accuracy": 0.2376962572336197, + "num_tokens": 21554319.0, + "step": 9755 + }, + { + "entropy": 5.305135488510132, + "epoch": 9.839132627332324, + "grad_norm": 1.3984375, + "learning_rate": 5.0318821912627776e-05, + "loss": 4.4677, + "mean_token_accuracy": 0.2362709879875183, + "num_tokens": 21565363.0, + "step": 9760 + }, + { + "entropy": 5.299489164352417, + "epoch": 9.844175491679273, + "grad_norm": 1.390625, + "learning_rate": 5.029806203455213e-05, + "loss": 4.5297, + "mean_token_accuracy": 0.2300778180360794, + "num_tokens": 21576320.0, + "step": 9765 + }, + { + "entropy": 5.268238639831543, + "epoch": 9.849218356026222, + "grad_norm": 1.515625, + "learning_rate": 5.027800053528309e-05, + "loss": 4.4919, + "mean_token_accuracy": 0.23135027289390564, + "num_tokens": 21586471.0, + "step": 9770 + }, + { + "entropy": 5.249001598358154, + "epoch": 9.854261220373171, + "grad_norm": 1.53125, + "learning_rate": 5.025863747717227e-05, + "loss": 4.4015, + "mean_token_accuracy": 0.24477950036525725, + "num_tokens": 21597853.0, + "step": 9775 + }, + { + "entropy": 5.286650609970093, + "epoch": 9.85930408472012, + "grad_norm": 1.5546875, + "learning_rate": 5.0239972920400485e-05, + "loss": 4.4821, + "mean_token_accuracy": 0.23462464809417724, + "num_tokens": 21609004.0, + "step": 9780 + }, + { + "entropy": 5.269548749923706, + "epoch": 9.86434694906707, + "grad_norm": 1.3515625, + "learning_rate": 5.022200692297763e-05, + "loss": 4.4779, + "mean_token_accuracy": 0.23439160883426666, + "num_tokens": 21620884.0, + "step": 9785 + }, + { + "entropy": 5.314441967010498, + "epoch": 9.869389813414019, + "grad_norm": 1.640625, + "learning_rate": 5.0204739540742436e-05, + "loss": 4.462, + "mean_token_accuracy": 0.24398329555988313, + "num_tokens": 21631717.0, + "step": 9790 + }, + { + "entropy": 5.390424585342407, + "epoch": 9.874432677760968, + "grad_norm": 1.7734375, + "learning_rate": 5.0188170827362294e-05, + "loss": 4.4995, + "mean_token_accuracy": 0.23491906076669694, + "num_tokens": 21642730.0, + "step": 9795 + }, + { + "entropy": 5.284995079040527, + "epoch": 9.879475542107917, + "grad_norm": 1.75, + "learning_rate": 5.017230083433317e-05, + "loss": 4.4735, + "mean_token_accuracy": 0.23530043065547943, + "num_tokens": 21653495.0, + "step": 9800 + }, + { + "entropy": 5.255319213867187, + "epoch": 9.884518406454866, + "grad_norm": 1.5, + "learning_rate": 5.015712961097938e-05, + "loss": 4.5096, + "mean_token_accuracy": 0.22986416667699813, + "num_tokens": 21664498.0, + "step": 9805 + }, + { + "entropy": 5.276132440567016, + "epoch": 9.889561270801815, + "grad_norm": 1.5078125, + "learning_rate": 5.0142657204453424e-05, + "loss": 4.4494, + "mean_token_accuracy": 0.235795034468174, + "num_tokens": 21675027.0, + "step": 9810 + }, + { + "entropy": 5.275545310974121, + "epoch": 9.894604135148764, + "grad_norm": 1.3359375, + "learning_rate": 5.012888365973588e-05, + "loss": 4.5272, + "mean_token_accuracy": 0.2328537493944168, + "num_tokens": 21686002.0, + "step": 9815 + }, + { + "entropy": 5.311179161071777, + "epoch": 9.899646999495713, + "grad_norm": 1.2421875, + "learning_rate": 5.0115809019635217e-05, + "loss": 4.5119, + "mean_token_accuracy": 0.23117499947547912, + "num_tokens": 21697505.0, + "step": 9820 + }, + { + "entropy": 5.291866207122803, + "epoch": 9.904689863842663, + "grad_norm": 1.703125, + "learning_rate": 5.010343332478776e-05, + "loss": 4.4324, + "mean_token_accuracy": 0.24180057644844055, + "num_tokens": 21707812.0, + "step": 9825 + }, + { + "entropy": 5.248953485488892, + "epoch": 9.909732728189612, + "grad_norm": 1.390625, + "learning_rate": 5.009175661365743e-05, + "loss": 4.4745, + "mean_token_accuracy": 0.23411085307598115, + "num_tokens": 21719179.0, + "step": 9830 + }, + { + "entropy": 5.257087230682373, + "epoch": 9.91477559253656, + "grad_norm": 1.75, + "learning_rate": 5.00807789225357e-05, + "loss": 4.4847, + "mean_token_accuracy": 0.2317408800125122, + "num_tokens": 21730199.0, + "step": 9835 + }, + { + "entropy": 5.269126224517822, + "epoch": 9.91981845688351, + "grad_norm": 1.46875, + "learning_rate": 5.007050028554153e-05, + "loss": 4.504, + "mean_token_accuracy": 0.2335713177919388, + "num_tokens": 21741280.0, + "step": 9840 + }, + { + "entropy": 5.251001358032227, + "epoch": 9.924861321230459, + "grad_norm": 1.625, + "learning_rate": 5.006092073462112e-05, + "loss": 4.4206, + "mean_token_accuracy": 0.2503219053149223, + "num_tokens": 21751825.0, + "step": 9845 + }, + { + "entropy": 5.257306814193726, + "epoch": 9.929904185577408, + "grad_norm": 1.53125, + "learning_rate": 5.005204029954797e-05, + "loss": 4.4708, + "mean_token_accuracy": 0.23223651945590973, + "num_tokens": 21762950.0, + "step": 9850 + }, + { + "entropy": 5.271762371063232, + "epoch": 9.934947049924357, + "grad_norm": 1.5234375, + "learning_rate": 5.004385900792263e-05, + "loss": 4.483, + "mean_token_accuracy": 0.2389470472931862, + "num_tokens": 21774383.0, + "step": 9855 + }, + { + "entropy": 5.262060594558716, + "epoch": 9.939989914271306, + "grad_norm": 1.2734375, + "learning_rate": 5.003637688517278e-05, + "loss": 4.445, + "mean_token_accuracy": 0.23795880377292633, + "num_tokens": 21786639.0, + "step": 9860 + }, + { + "entropy": 5.290327453613282, + "epoch": 9.945032778618256, + "grad_norm": 1.4140625, + "learning_rate": 5.002959395455303e-05, + "loss": 4.4645, + "mean_token_accuracy": 0.23762315064668654, + "num_tokens": 21797016.0, + "step": 9865 + }, + { + "entropy": 5.280552911758423, + "epoch": 9.950075642965205, + "grad_norm": 1.5390625, + "learning_rate": 5.0023510237144885e-05, + "loss": 4.4512, + "mean_token_accuracy": 0.2306496873497963, + "num_tokens": 21806805.0, + "step": 9870 + }, + { + "entropy": 5.341740226745605, + "epoch": 9.955118507312154, + "grad_norm": 1.4296875, + "learning_rate": 5.001812575185665e-05, + "loss": 4.4956, + "mean_token_accuracy": 0.23529822528362274, + "num_tokens": 21817602.0, + "step": 9875 + }, + { + "entropy": 5.280809164047241, + "epoch": 9.960161371659103, + "grad_norm": 1.3515625, + "learning_rate": 5.001344051542347e-05, + "loss": 4.4581, + "mean_token_accuracy": 0.2401592969894409, + "num_tokens": 21828405.0, + "step": 9880 + }, + { + "entropy": 5.2672840595245365, + "epoch": 9.965204236006052, + "grad_norm": 1.4765625, + "learning_rate": 5.0009454542407126e-05, + "loss": 4.4952, + "mean_token_accuracy": 0.23917269706726074, + "num_tokens": 21840383.0, + "step": 9885 + }, + { + "entropy": 5.257422351837159, + "epoch": 9.970247100353001, + "grad_norm": 1.4921875, + "learning_rate": 5.000616784519616e-05, + "loss": 4.4475, + "mean_token_accuracy": 0.2341947704553604, + "num_tokens": 21852130.0, + "step": 9890 + }, + { + "entropy": 5.2997355461120605, + "epoch": 9.97528996469995, + "grad_norm": 1.40625, + "learning_rate": 5.000358043400566e-05, + "loss": 4.5315, + "mean_token_accuracy": 0.23186630606651307, + "num_tokens": 21864101.0, + "step": 9895 + }, + { + "entropy": 5.308615493774414, + "epoch": 9.9803328290469, + "grad_norm": 1.7109375, + "learning_rate": 5.000169231687739e-05, + "loss": 4.5414, + "mean_token_accuracy": 0.23041111677885057, + "num_tokens": 21874964.0, + "step": 9900 + }, + { + "entropy": 5.274535036087036, + "epoch": 9.985375693393848, + "grad_norm": 1.3984375, + "learning_rate": 5.000050349967963e-05, + "loss": 4.4865, + "mean_token_accuracy": 0.23855694830417634, + "num_tokens": 21886265.0, + "step": 9905 + }, + { + "entropy": 5.3845068454742435, + "epoch": 9.990418557740798, + "grad_norm": 1.5625, + "learning_rate": 5.000001398610728e-05, + "loss": 4.5242, + "mean_token_accuracy": 0.23083645105361938, + "num_tokens": 21895362.0, + "step": 9910 + } + ], + "logging_steps": 5, + "max_steps": 9910, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 5425023567052800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9910/training_args.bin b/checkpoint-9910/training_args.bin new file mode 100644 index 0000000..23a8249 --- /dev/null +++ b/checkpoint-9910/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353 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..4c122f0 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..8f471ee --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:963bb2a759e63db283066ce72d09babae13b3c74fd0bc05116a44ec839bb6b24 +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..8514a89 --- /dev/null +++ b/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:950473fa23b42e64f7fc8f5b6441c5753c32b7a507b3e0eea05977b4486dc029 +size 1159450 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..23a8249 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7851819557e54a8de538ccafed5fc7f9418fed000e04baced9a313362d742f99 +size 6353